1
00:00:09,093 --> 00:00:11,972
Speaker 1: You're listening to a podcast from News Talk sed B.

2
00:00:12,373 --> 00:00:16,133
Speaker 1: Follow this and our wide range of podcasts now on iHeartRadio.

3
00:00:16,773 --> 00:00:18,532
Speaker 2: Hello you, great New Zealands, and welcome to Mattain Tyler

4
00:00:18,533 --> 00:00:21,533
Speaker 2: Full Show Podcast number one seven eight for Thursday to

5
00:00:21,613 --> 00:00:25,172
Speaker 2: seventh of August. Once again we delve deep into AI.

6
00:00:25,412 --> 00:00:28,533
Speaker 2: This time it's the Swiss Prime Minister using AI to

7
00:00:28,573 --> 00:00:32,093
Speaker 2: come up with policy for that country and a UK

8
00:00:32,253 --> 00:00:35,812
Speaker 2: politician using it as a chatbox because it can't be

9
00:00:35,813 --> 00:00:38,373
Speaker 2: bothered answering questions from constituents, so it got them really

10
00:00:38,653 --> 00:00:40,653
Speaker 2: really really good AI chat. I love a good AI

11
00:00:40,772 --> 00:00:41,333
Speaker 2: chat yep.

12
00:00:41,492 --> 00:00:43,973
Speaker 3: And then we had some fantastic chat about success later

13
00:00:44,013 --> 00:00:46,373
Speaker 3: in life and a woman who wrote a book after

14
00:00:46,812 --> 00:00:49,933
Speaker 3: getting some messages from telepathic dolphins.

15
00:00:50,373 --> 00:00:54,933
Speaker 2: Yeah yeah, the telepathic dolphins and the stone from the

16
00:00:55,053 --> 00:00:57,133
Speaker 2: Greek temple with an e insider.

17
00:00:57,213 --> 00:00:58,373
Speaker 3: Yeah, looking forward to their book.

18
00:00:58,373 --> 00:00:59,013
Speaker 2: It's good stuff.

19
00:00:59,053 --> 00:01:03,413
Speaker 3: It is, so download subscribe, give us a review.

20
00:01:03,773 --> 00:01:08,253
Speaker 1: Love you big stories, the leak issues, the big trends

21
00:01:08,573 --> 00:01:13,533
Speaker 1: and everything in between. Matt Heath and Taylor Adams Afternoons News.

22
00:01:13,292 --> 00:01:13,973
Speaker 4: Talk said, be.

23
00:01:15,453 --> 00:01:19,172
Speaker 3: Afternoon to you. Welcome in two Thursday shows. So good,

24
00:01:19,292 --> 00:01:21,652
Speaker 3: so good. Dave your company as always. Hope you're doing well.

25
00:01:21,733 --> 00:01:22,173
Speaker 3: Get a Matt.

26
00:01:22,413 --> 00:01:24,773
Speaker 2: Yeah, welcome all your great New Zealanders all across this

27
00:01:24,853 --> 00:01:28,373
Speaker 2: beautiful nation of ours to the next three hours of

28
00:01:28,453 --> 00:01:31,372
Speaker 2: Matt and Tyler afternoons. We've cobbled together a fantastic show

29
00:01:31,413 --> 00:01:32,693
Speaker 2: before we get stuck in too that I just like

30
00:01:32,733 --> 00:01:36,453
Speaker 2: to say, after yesterday's fantastic chat and all the calls

31
00:01:36,453 --> 00:01:37,853
Speaker 2: and texts we got on our e one hundred and

32
00:01:37,853 --> 00:01:40,613
Speaker 2: eighty ten eighty and nineteen ninety two around the rules

33
00:01:40,733 --> 00:01:43,053
Speaker 2: of picking up dog boo.

34
00:01:43,212 --> 00:01:44,413
Speaker 3: Yep, that was a big chat.

35
00:01:44,813 --> 00:01:47,292
Speaker 2: I followed them to the letter. Today. When I was

36
00:01:47,292 --> 00:01:51,013
Speaker 2: walking my dog Colin, he went early on a boom

37
00:01:51,093 --> 00:01:55,013
Speaker 2: about twenty five meters from our house. Good boycott. I

38
00:01:55,173 --> 00:01:57,853
Speaker 2: carried that. I carried that, leaving in a little bag

39
00:01:57,893 --> 00:02:01,893
Speaker 2: all the way home. Well anyway, no envelopes, ye, no

40
00:02:02,013 --> 00:02:04,093
Speaker 2: putting it in people's wheely bins, No putting it in

41
00:02:04,173 --> 00:02:06,573
Speaker 2: rubbish bins in front of dairies. I took it all

42
00:02:06,573 --> 00:02:08,053
Speaker 2: the way home and put it in my own willy bin.

43
00:02:08,853 --> 00:02:11,493
Speaker 3: Progress not perfection, Matt heat Yeah, there we go, and

44
00:02:11,533 --> 00:02:13,853
Speaker 3: no poop loop. Did you put a few orders in

45
00:02:13,853 --> 00:02:14,533
Speaker 3: for a poop loop.

46
00:02:14,613 --> 00:02:17,493
Speaker 2: No, I didn't. I didn't get the I didn't which

47
00:02:17,493 --> 00:02:19,972
Speaker 2: one of someone yesterday that was strapping them around them

48
00:02:20,013 --> 00:02:23,013
Speaker 2: and hanging handing their little soiled bags off them And

49
00:02:23,013 --> 00:02:23,733
Speaker 2: I didn't go that far.

50
00:02:23,813 --> 00:02:25,853
Speaker 3: Okay, very good. That was a good PSA though so

51
00:02:25,893 --> 00:02:28,572
Speaker 3: well done right too today's show after three o'clock. There's

52
00:02:28,573 --> 00:02:31,773
Speaker 3: a big pushback on church bells ringing at all hours

53
00:02:31,813 --> 00:02:34,133
Speaker 3: of the day. The latest is in a small town

54
00:02:34,213 --> 00:02:36,573
Speaker 3: in Wales where a local hotel says guests have had

55
00:02:36,693 --> 00:02:39,573
Speaker 3: enough of the constant things and dongs.

56
00:02:40,453 --> 00:02:43,972
Speaker 2: Yeah, and you are anti church bells ringing. You've made

57
00:02:43,972 --> 00:02:46,653
Speaker 2: it clear, so we'll talk about that after three o'clock.

58
00:02:46,693 --> 00:02:48,972
Speaker 2: After two so a politician in the UK is using

59
00:02:48,972 --> 00:02:53,213
Speaker 2: a chatbot to answer as emails. The sweetish PM has

60
00:02:53,293 --> 00:02:57,853
Speaker 2: been busted running policy through chat GPT. You can guarantee

61
00:02:57,893 --> 00:03:00,373
Speaker 2: that some politicians are doing this kind of thing here,

62
00:03:00,453 --> 00:03:03,533
Speaker 2: if not now but soon. Do you feel comfortable with

63
00:03:03,573 --> 00:03:06,533
Speaker 2: politicians using AI? Do you think we are handing over

64
00:03:06,613 --> 00:03:11,853
Speaker 2: power to the robots too lightly? And what areas in

65
00:03:11,893 --> 00:03:13,733
Speaker 2: life if you don't think it should be in politics

66
00:03:13,773 --> 00:03:15,252
Speaker 2: or you do, what areas in life do you think

67
00:03:15,613 --> 00:03:18,053
Speaker 2: should stay AI? Three would like to talk about that

68
00:03:18,133 --> 00:03:19,213
Speaker 2: after two PM.

69
00:03:19,573 --> 00:03:21,893
Speaker 3: But right now, let's have a chat about building a

70
00:03:21,933 --> 00:03:25,693
Speaker 3: successful business or restarting again in midlife. So, as we know,

71
00:03:25,893 --> 00:03:29,373
Speaker 3: yesterday the job job numbers came out, the unemployment numbers,

72
00:03:29,613 --> 00:03:32,533
Speaker 3: and it is tough out there, particularly in Auckland. A

73
00:03:32,573 --> 00:03:34,813
Speaker 3: lot of people in their forties, fifties and sixties have

74
00:03:34,893 --> 00:03:37,533
Speaker 3: sadly lost their jobs over the last couple of years

75
00:03:37,573 --> 00:03:40,093
Speaker 3: and feel like they have to start again. But for

76
00:03:40,253 --> 00:03:43,213
Speaker 3: many it can end up being the push they needed

77
00:03:43,253 --> 00:03:45,893
Speaker 3: to start that business they always wanted to.

78
00:03:46,333 --> 00:03:49,333
Speaker 2: Yeah, well, we all know the story of MIKEL. Hill Jewett.

79
00:03:49,453 --> 00:03:51,933
Speaker 2: He didn't start that till he was forty prime example,

80
00:03:52,013 --> 00:03:53,653
Speaker 2: three hundred stores by the time he died.

81
00:03:53,773 --> 00:03:53,973
Speaker 3: Yep.

82
00:03:54,293 --> 00:03:55,732
Speaker 2: Hugely successful man.

83
00:03:55,773 --> 00:03:57,213
Speaker 3: And very much starting from scratch.

84
00:03:57,293 --> 00:03:58,893
Speaker 2: So there'd be people that were forty and thinking, I

85
00:03:58,933 --> 00:04:02,053
Speaker 2: can't reinvent the wheel a stage, but you can.

86
00:04:02,213 --> 00:04:04,893
Speaker 3: Oh, eighte hundred, eighty, ten eighty. There's certainly a lot

87
00:04:04,933 --> 00:04:07,053
Speaker 3: of very famous examples. But love to hear from you

88
00:04:07,253 --> 00:04:09,133
Speaker 3: if you did have a bit of a change in life,

89
00:04:09,213 --> 00:04:12,613
Speaker 3: unexpected change in life, did you manage to find success

90
00:04:12,653 --> 00:04:14,373
Speaker 3: a little bit later in life? Really keen to hear

91
00:04:14,413 --> 00:04:14,893
Speaker 3: your stories.

92
00:04:14,973 --> 00:04:16,933
Speaker 2: Yeah, and what's it like trying to reinto the air

93
00:04:17,133 --> 00:04:18,933
Speaker 2: the workforce when you're a bit older and you've had

94
00:04:18,933 --> 00:04:22,013
Speaker 2: to change careers potentially in your forties, fifties or sixties.

95
00:04:22,093 --> 00:04:24,053
Speaker 3: Yep, oh eight, one hundred and eighty. Ten eighty is

96
00:04:24,173 --> 00:04:26,733
Speaker 3: the number to call. We'll get to your phone calls

97
00:04:26,813 --> 00:04:28,813
Speaker 3: very shortly. It is ten past one.

98
00:04:30,173 --> 00:04:33,653
Speaker 1: The big stories, the big issues, the big trends, and

99
00:04:33,893 --> 00:04:38,013
Speaker 1: everything in between. Matt Heath and Tyler Adams afternoons used talks.

100
00:04:38,013 --> 00:04:38,333
Speaker 4: That'd be.

101
00:04:39,973 --> 00:04:42,453
Speaker 3: Very good afternoon to you. It is twelve past one.

102
00:04:42,773 --> 00:04:46,053
Speaker 2: I am forty one. I lost my IT job end

103
00:04:46,053 --> 00:04:48,573
Speaker 2: of last year. I think that's it for me. No

104
00:04:48,653 --> 00:04:50,973
Speaker 2: one wants a forty one year old IT guy. I'm

105
00:04:51,013 --> 00:04:53,493
Speaker 2: on a benefit and I've moved back home. I think

106
00:04:53,533 --> 00:04:55,733
Speaker 2: I'm done. It's depressing, but that's just the way it is.

107
00:04:55,893 --> 00:04:58,053
Speaker 2: Is this texta wow? Giving up at forty one?

108
00:04:58,133 --> 00:05:00,413
Speaker 3: Forty one is still young. You've still got another.

109
00:05:00,373 --> 00:05:02,493
Speaker 5: Forty years in the work force.

110
00:05:02,573 --> 00:05:03,773
Speaker 3: Maybe not thirty.

111
00:05:03,613 --> 00:05:07,413
Speaker 2: Years, it's still got probably another fifty years on the planet, exactly.

112
00:05:07,613 --> 00:05:10,053
Speaker 3: Given up at forty Come on, mate, shut up, I

113
00:05:10,093 --> 00:05:10,613
Speaker 3: reckon give.

114
00:05:10,493 --> 00:05:13,413
Speaker 2: It another go there, buddy, yep, I reckon business. I

115
00:05:14,213 --> 00:05:17,093
Speaker 2: give it another try. I worked in record stores until

116
00:05:17,133 --> 00:05:20,373
Speaker 2: forty it became so too uncool, so moved into property

117
00:05:20,733 --> 00:05:23,133
Speaker 2: I have done very well. Was hard at first, but

118
00:05:23,133 --> 00:05:26,173
Speaker 2: twenty years on, couldn't have been a better move. Love

119
00:05:26,253 --> 00:05:29,413
Speaker 2: that two opposite ends of the spectrum. Tony, welcome the show,

120
00:05:30,133 --> 00:05:32,893
Speaker 2: Yeah and made How are you very good? Thanks for corner.

121
00:05:34,053 --> 00:05:37,133
Speaker 6: Thank you. I sent your text earlier just to let

122
00:05:37,173 --> 00:05:39,813
Speaker 6: you know what my wife and I are up to.

123
00:05:39,933 --> 00:05:43,093
Speaker 6: We were overseas last year on a holiday and saw

124
00:05:43,133 --> 00:05:47,893
Speaker 6: a couple of products over in Canada actually, and came

125
00:05:47,973 --> 00:05:51,053
Speaker 6: back and thought Jesus would work for New Zealand. So

126
00:05:51,653 --> 00:05:55,813
Speaker 6: we adapted it for the New Zealand market, and we

127
00:05:56,253 --> 00:06:02,333
Speaker 6: did a few designs ourselves and sent the designs overseas

128
00:06:02,333 --> 00:06:05,213
Speaker 6: to some factories, got them made over there, got the

129
00:06:05,253 --> 00:06:09,413
Speaker 6: samples back, really pleased with the quality and and everything,

130
00:06:09,853 --> 00:06:12,533
Speaker 6: and we're launching them at the end of this month

131
00:06:12,573 --> 00:06:15,413
Speaker 6: at the aucand Gifts Fair, and our first container of

132
00:06:15,453 --> 00:06:19,333
Speaker 6: product derives early September. And the good thing is the

133
00:06:19,413 --> 00:06:23,973
Speaker 6: samples are that good. People are forward ordering them before

134
00:06:24,013 --> 00:06:24,853
Speaker 6: they've even landed.

135
00:06:25,173 --> 00:06:27,253
Speaker 2: Good can you tell us mate?

136
00:06:27,293 --> 00:06:29,093
Speaker 6: I mean fifties.

137
00:06:29,213 --> 00:06:31,693
Speaker 2: Can you tell us what the product I can do?

138
00:06:31,813 --> 00:06:36,413
Speaker 6: Actually, it's do you know what bobbleheads are? So we

139
00:06:36,533 --> 00:06:40,013
Speaker 6: saw them in Canada and they were based on the

140
00:06:40,093 --> 00:06:44,893
Speaker 6: Royal Mounties. So we've we've designed them in a Kiwi

141
00:06:44,933 --> 00:06:53,933
Speaker 6: shape representing Kiwi's and various forms sports and and things

142
00:06:53,973 --> 00:06:56,413
Speaker 6: like that. So we're really pleased. I can see you

143
00:06:56,493 --> 00:06:59,653
Speaker 6: some images if you like, yes, and yeah, I'll see

144
00:06:59,733 --> 00:07:01,653
Speaker 6: them through. But going really.

145
00:07:01,453 --> 00:07:04,452
Speaker 2: Well, I'm a huge La Dodgers fan and they've always

146
00:07:04,453 --> 00:07:07,853
Speaker 2: got bubble head nights on and you know, you've get

147
00:07:07,853 --> 00:07:11,533
Speaker 2: the show Tony Bobblehead and night at the Max Munths.

148
00:07:12,053 --> 00:07:14,173
Speaker 2: It's a huge, huge thing over there in.

149
00:07:14,133 --> 00:07:18,373
Speaker 6: The States, Matt, It's massive, and you know the history

150
00:07:18,373 --> 00:07:21,373
Speaker 6: of bobbleheads goes back years and there's nothing like it

151
00:07:21,453 --> 00:07:23,693
Speaker 6: in New Zealand. And we wanted a product that was

152
00:07:23,893 --> 00:07:29,253
Speaker 6: really well made and a good price point and we

153
00:07:29,373 --> 00:07:33,173
Speaker 6: think we've hit the mark. But you know, listening to

154
00:07:33,373 --> 00:07:37,733
Speaker 6: your caller text earlier about giving up at forty, mate,

155
00:07:38,013 --> 00:07:42,133
Speaker 6: there's a ton of life ahead of you. Both my

156
00:07:42,173 --> 00:07:45,573
Speaker 6: wife and I have had various businesses and were still

157
00:07:45,613 --> 00:07:48,413
Speaker 6: working for you, working for the man, so to speak.

158
00:07:49,253 --> 00:07:50,213
Speaker 7: And it's not too late.

159
00:07:50,613 --> 00:07:55,573
Speaker 6: And if this doesn't work, then you know, we've still got,

160
00:07:55,773 --> 00:07:58,213
Speaker 6: you know, hopefully another forty fifty years ahead of us.

161
00:07:58,813 --> 00:08:00,213
Speaker 6: So don't give up.

162
00:08:00,613 --> 00:08:02,653
Speaker 3: Have you gone all in on this, Tony? Have you

163
00:08:02,773 --> 00:08:04,573
Speaker 3: were you working at the time or you.

164
00:08:04,693 --> 00:08:08,133
Speaker 6: Oh look, my wife and I are both still working,

165
00:08:08,493 --> 00:08:13,693
Speaker 6: and we hope that this will enable us to get

166
00:08:13,733 --> 00:08:16,493
Speaker 6: out of what we're doing, either both of us or

167
00:08:16,533 --> 00:08:20,453
Speaker 6: one of us anyway, and yeah, go all in. But yeah,

168
00:08:20,813 --> 00:08:25,293
Speaker 6: we've gone. We've invested a lot of time, energy, and

169
00:08:25,373 --> 00:08:26,973
Speaker 6: resources and to get in it launched.

170
00:08:27,573 --> 00:08:31,253
Speaker 2: So you're in your late fifties, and I'm just wondering

171
00:08:31,293 --> 00:08:33,693
Speaker 2: why people don't think that they can go into new

172
00:08:33,732 --> 00:08:35,852
Speaker 2: things when they get older. Do they think they won't

173
00:08:35,933 --> 00:08:38,253
Speaker 2: have the energy to do it, you know, working a

174
00:08:38,333 --> 00:08:41,453
Speaker 2: job doing it after as you are. But it sounds

175
00:08:41,453 --> 00:08:44,093
Speaker 2: like you're quite energized by this project.

176
00:08:44,732 --> 00:08:48,293
Speaker 6: Do you know what, Matt. It's actually energized us even

177
00:08:48,372 --> 00:08:54,532
Speaker 6: more because I think we're seen early on how successful

178
00:08:54,612 --> 00:08:59,653
Speaker 6: this could be, and success breed success, and the more

179
00:08:59,732 --> 00:09:04,133
Speaker 6: positive feedback we're getting, the more positive it makes us.

180
00:09:04,533 --> 00:09:08,693
Speaker 6: And to the point where we have any and got

181
00:09:08,732 --> 00:09:14,693
Speaker 6: our first container. But we're developing additional product ranges within

182
00:09:14,732 --> 00:09:19,533
Speaker 6: the range and other product around those ranges, because you know,

183
00:09:19,693 --> 00:09:21,813
Speaker 6: it just builds confidence in yourself.

184
00:09:22,653 --> 00:09:25,132
Speaker 3: Was this a seat learning curve for you guys, had

185
00:09:25,173 --> 00:09:28,013
Speaker 3: you started your own business earlier? Or is this all

186
00:09:28,093 --> 00:09:28,573
Speaker 3: brand new?

187
00:09:31,012 --> 00:09:34,933
Speaker 6: We've had a couple of small businesses in the past, ourselves,

188
00:09:34,933 --> 00:09:40,173
Speaker 6: and they haven't been that successful. But I think as

189
00:09:40,252 --> 00:09:43,693
Speaker 6: we've matured and you know, got a little bit more

190
00:09:43,693 --> 00:09:47,292
Speaker 6: comfortable and a bit more backing, we're more confident to

191
00:09:48,293 --> 00:09:49,133
Speaker 6: invest a bit more.

192
00:09:49,813 --> 00:09:51,693
Speaker 2: So can you just describe the product to us a

193
00:09:51,732 --> 00:09:52,413
Speaker 2: little bit more?

194
00:09:52,492 --> 00:09:52,652
Speaker 8: So?

195
00:09:52,693 --> 00:09:55,013
Speaker 2: You say that are they so they're kiwis like the

196
00:09:55,012 --> 00:09:56,173
Speaker 2: shape of a Kiwi? Is that correct?

197
00:09:56,293 --> 00:09:58,293
Speaker 7: Yeah? So the shape of a Kiwi and you're.

198
00:09:58,213 --> 00:10:00,293
Speaker 2: Playing, You've put it like on your you know, on

199
00:10:00,293 --> 00:10:01,492
Speaker 2: your dashboard kind of thing.

200
00:10:01,693 --> 00:10:03,492
Speaker 6: You put it on your dashboard. You could put it

201
00:10:03,533 --> 00:10:06,133
Speaker 6: on your desk, and you know, they're just fun and

202
00:10:06,252 --> 00:10:12,132
Speaker 6: quirky and relatable to every Kiwi. Packaging is very bright

203
00:10:12,213 --> 00:10:18,253
Speaker 6: and colorful and and quirky, well packaged for tourists and locals.

204
00:10:18,573 --> 00:10:20,653
Speaker 2: And so you said that you've already had some sales

205
00:10:20,693 --> 00:10:23,532
Speaker 2: before the first container arrives. How people finding you.

206
00:10:25,173 --> 00:10:29,652
Speaker 6: I'm finding them. I'm within the job that I'm currently doing.

207
00:10:30,333 --> 00:10:32,453
Speaker 6: I'm fortunate enough to be out and about around the

208
00:10:32,492 --> 00:10:36,973
Speaker 6: country already, so just knocking on doors while while I'm

209
00:10:37,012 --> 00:10:37,613
Speaker 6: out in about.

210
00:10:37,852 --> 00:10:41,372
Speaker 2: Oh well, so you don't have a site up or

211
00:10:41,413 --> 00:10:43,213
Speaker 2: a way to contact you around them yet.

212
00:10:43,933 --> 00:10:47,573
Speaker 6: Yeah, we we've got We've got a website dub dub

213
00:10:47,653 --> 00:10:49,932
Speaker 6: dub dot the Cheeky Kiwi dot.

214
00:10:49,653 --> 00:10:54,253
Speaker 2: Com, The Cheeky Kiwi dot Yep, yeah.

215
00:10:54,173 --> 00:10:56,733
Speaker 6: The Cheeky Kiwi dot Com. The website's not up and

216
00:10:56,813 --> 00:10:59,693
Speaker 6: running just yet. We haven't set that live until we

217
00:10:59,773 --> 00:11:02,772
Speaker 6: launched the product, but in the next few days that

218
00:11:02,892 --> 00:11:03,852
Speaker 6: all that'll go live.

219
00:11:04,132 --> 00:11:05,813
Speaker 2: Brilliant. Well, give us a ring back when it's live

220
00:11:05,892 --> 00:11:07,773
Speaker 2: and we'll talk about it again. Thanks for that, and.

221
00:11:08,132 --> 00:11:10,372
Speaker 6: Mate, and I'll send you some images right now.

222
00:11:10,492 --> 00:11:12,853
Speaker 2: Other really well, all the best with that, and good

223
00:11:12,852 --> 00:11:14,973
Speaker 2: on you. You guys sound like you're excited about it

224
00:11:15,012 --> 00:11:17,732
Speaker 2: and you're doing something and that's wicked brilliant.

225
00:11:17,773 --> 00:11:18,413
Speaker 6: Thanks for your time.

226
00:11:18,612 --> 00:11:20,813
Speaker 3: Cheers, Tony, What a good man. Love the hustle. Oh

227
00:11:20,852 --> 00:11:22,853
Speaker 3: eight one hundred eighty ten eighty is the number to

228
00:11:22,892 --> 00:11:24,933
Speaker 3: call if you've managed to find success a little bit

229
00:11:24,973 --> 00:11:27,413
Speaker 3: later in life. Maybe starting your own business. Love to

230
00:11:27,453 --> 00:11:28,253
Speaker 3: hear from you.

231
00:11:28,132 --> 00:11:30,652
Speaker 2: Rob says, take my money, send me a razor bubblehead.

232
00:11:30,693 --> 00:11:33,733
Speaker 3: Now you got a customer, Tony, Yeah, Oh, eight hundred

233
00:11:33,773 --> 00:11:35,733
Speaker 3: eighty ten eighty is the number to call. It is

234
00:11:35,813 --> 00:11:36,693
Speaker 3: nineteen past one.

235
00:11:37,813 --> 00:11:41,453
Speaker 1: Putting the tough questions to the newspeakers, the Mike asking.

236
00:11:41,213 --> 00:11:44,133
Speaker 9: Breakfast flinance Minister Nicola Willis is back, will us wages

237
00:11:44,132 --> 00:11:46,773
Speaker 9: at two point four and now below inflation? We're going backwards.

238
00:11:46,773 --> 00:11:49,252
Speaker 10: Well, you're using a different measure. I use the average

239
00:11:49,293 --> 00:11:51,652
Speaker 10: hourly yearning, which allows for the fact that people get

240
00:11:51,693 --> 00:11:54,253
Speaker 10: promotions and change job. That roads worth five.

241
00:11:55,132 --> 00:11:57,173
Speaker 9: Nichola, this is your too political again. I'm just looking

242
00:11:57,213 --> 00:11:59,333
Speaker 9: at the number. Two point four is below the rate

243
00:11:59,372 --> 00:11:59,893
Speaker 9: of inflation.

244
00:11:59,973 --> 00:12:01,813
Speaker 11: The measure you're using as a valid measure.

245
00:12:01,852 --> 00:12:04,333
Speaker 12: The measure I'm referring to allowed to tech back that

246
00:12:04,372 --> 00:12:05,293
Speaker 12: people twitch off.

247
00:12:05,413 --> 00:12:07,492
Speaker 9: Okay, we're going to run into trouble with each other again.

248
00:12:07,533 --> 00:12:09,453
Speaker 9: We are, but you need to at least three more cuts.

249
00:12:09,492 --> 00:12:11,613
Speaker 9: And they've undercooked this and that's not helping you.

250
00:12:11,653 --> 00:12:12,372
Speaker 2: Tell me I'm wrong.

251
00:12:12,453 --> 00:12:14,772
Speaker 13: Well, every dank economist seems to agree with you.

252
00:12:14,973 --> 00:12:18,213
Speaker 9: Night back tomorrow at six am, The Mic Hosking Breakfast

253
00:12:18,213 --> 00:12:20,333
Speaker 9: with Rain Drover News tog Zedb.

254
00:12:21,533 --> 00:12:24,933
Speaker 3: New torg Zedb. It is twenty two past one and

255
00:12:24,973 --> 00:12:27,252
Speaker 3: we are talking about success later in life. As we

256
00:12:27,293 --> 00:12:29,973
Speaker 3: know with the numbers out yesterday. Sadly, there has been

257
00:12:29,973 --> 00:12:31,412
Speaker 3: a lot of people that have lost their jobs in

258
00:12:31,413 --> 00:12:34,413
Speaker 3: their forties, fifties and sixties and had to start again.

259
00:12:34,852 --> 00:12:37,453
Speaker 3: If that was you, if you had an unexpected change

260
00:12:37,453 --> 00:12:39,853
Speaker 3: in life and you managed to kick start into something new,

261
00:12:39,892 --> 00:12:41,733
Speaker 3: will start your own business. Love to hear your stories.

262
00:12:41,732 --> 00:12:43,093
Speaker 3: On O one hundred and eighty ten eighty.

263
00:12:42,933 --> 00:12:44,652
Speaker 2: Has a text you guys, hasen the guy that is

264
00:12:44,693 --> 00:12:46,813
Speaker 2: giving up at forty one? Easy for you to say

265
00:12:46,852 --> 00:12:50,892
Speaker 2: in your radio jobs sitting behind a microphone? Easy? What

266
00:12:50,933 --> 00:12:53,653
Speaker 2: I'm I supposed to do? Laboring? Picking up rubbish? I

267
00:12:53,653 --> 00:12:55,852
Speaker 2: can live on a benefit, just fine. Thank you. Get

268
00:12:55,892 --> 00:12:58,413
Speaker 2: back to me when you have a decent paying indoor

269
00:12:58,492 --> 00:13:01,773
Speaker 2: job like you have until then, shut your mouth. You

270
00:13:01,813 --> 00:13:03,892
Speaker 2: don't know what it's like out here. I am thirteen

271
00:13:04,053 --> 00:13:06,373
Speaker 2: thirty seven years old. Not that it matters, but that

272
00:13:06,533 --> 00:13:10,053
Speaker 2: is it for me. Why should I? Why would I?

273
00:13:10,173 --> 00:13:12,093
Speaker 2: Why should I? Why would I? Why should I?

274
00:13:12,372 --> 00:13:12,612
Speaker 14: Wow?

275
00:13:15,093 --> 00:13:17,013
Speaker 3: I mean, what do you say? The digs like that.

276
00:13:17,573 --> 00:13:17,732
Speaker 14: Im.

277
00:13:18,213 --> 00:13:20,213
Speaker 3: What I will say actually is I say, look, I'm sorry, mate,

278
00:13:20,252 --> 00:13:24,333
Speaker 3: it's probably you've got an attitude situation there. Just chin up,

279
00:13:24,573 --> 00:13:26,693
Speaker 3: maybe push forward. Maybe a bit of positivity and a

280
00:13:26,693 --> 00:13:28,373
Speaker 3: bit of hustle in your life will do you a

281
00:13:28,372 --> 00:13:29,053
Speaker 3: little bit of good.

282
00:13:29,132 --> 00:13:30,813
Speaker 2: Well, I mean, I get what you're saying. I'm very

283
00:13:30,813 --> 00:13:33,532
Speaker 2: grateful to have this job talking on the radio in

284
00:13:33,573 --> 00:13:35,772
Speaker 2: the afternoons on news talks. He'd be, it's a fantastic job.

285
00:13:35,773 --> 00:13:39,453
Speaker 2: I feel very lucky I haven't and not everyone can

286
00:13:39,492 --> 00:13:42,573
Speaker 2: do it. There's only there's only room for one Matt

287
00:13:42,573 --> 00:13:45,772
Speaker 2: and one Tyler. But I'm giving up at thirty seven.

288
00:13:45,852 --> 00:13:48,093
Speaker 2: That's a long time to just be giving up. Yeah,

289
00:13:48,213 --> 00:13:50,653
Speaker 2: I mean, you could work on something for thirteen years

290
00:13:51,612 --> 00:13:55,453
Speaker 2: and still only be fifty. And you're younger than Tony

291
00:13:55,453 --> 00:13:58,412
Speaker 2: who's starting a business in his late fifties. So you've

292
00:13:58,453 --> 00:14:00,653
Speaker 2: got if one thing that you've got at thirty seven

293
00:14:00,852 --> 00:14:05,173
Speaker 2: is a lot of time. Yeah, Ondred percent Sharon, welcome

294
00:14:05,252 --> 00:14:05,612
Speaker 2: the show.

295
00:14:06,453 --> 00:14:12,453
Speaker 15: Thank you that afternoon. Well, I started my business when

296
00:14:12,492 --> 00:14:16,333
Speaker 15: I've been in a career in the medical building pharmacy

297
00:14:16,453 --> 00:14:18,893
Speaker 15: for many years since I started when I was seventeen

298
00:14:19,013 --> 00:14:21,373
Speaker 15: years old. So I've been on and off in that

299
00:14:21,453 --> 00:14:25,573
Speaker 15: business for quite a long time. And then we had

300
00:14:25,613 --> 00:14:29,453
Speaker 15: a place that we had another dwelling on it, and

301
00:14:29,693 --> 00:14:31,653
Speaker 15: you know, we moved out of that and moved into

302
00:14:31,653 --> 00:14:33,693
Speaker 15: the main house type of thing. We thought, what are

303
00:14:33,693 --> 00:14:37,933
Speaker 15: we going to do with this place? And I thought, oh, well,

304
00:14:36,733 --> 00:14:40,813
Speaker 15: I'll set up a bed and breakfast and see what happened.

305
00:14:40,813 --> 00:14:42,773
Speaker 15: Because there wasn't much where we were, and it was

306
00:14:42,773 --> 00:14:45,013
Speaker 15: on the way north and south and things like that.

307
00:14:45,173 --> 00:14:48,373
Speaker 15: And I quite like people and like, you know, for

308
00:14:48,453 --> 00:14:50,213
Speaker 15: them to have a nice stay in New Zealand when

309
00:14:50,253 --> 00:14:53,653
Speaker 15: they arrived. So that's what I did. Yeah, and that

310
00:14:53,733 --> 00:14:56,933
Speaker 15: was at the age of fifty. It was two thousand

311
00:14:56,973 --> 00:15:02,293
Speaker 15: and nine for eight hour old. But yeah, I really

312
00:15:02,413 --> 00:15:05,293
Speaker 15: enjoy it. I just love it. And I then was

313
00:15:05,453 --> 00:15:08,533
Speaker 15: retired from the pharmacy world about nearly three years go

314
00:15:08,613 --> 00:15:12,613
Speaker 15: now and still carried on with the other one. And yeah,

315
00:15:12,733 --> 00:15:14,893
Speaker 15: it's good. It was a bit of a leap of

316
00:15:15,053 --> 00:15:17,813
Speaker 15: face and we'll see what happens. But I think it's

317
00:15:17,813 --> 00:15:18,253
Speaker 15: plaid off.

318
00:15:18,733 --> 00:15:20,973
Speaker 2: So we got a lot of people the texting and saying, look,

319
00:15:21,013 --> 00:15:23,052
Speaker 2: I just don't have the energy to do do this

320
00:15:23,133 --> 00:15:26,453
Speaker 2: kind of thing. But at fifty you had the energy.

321
00:15:27,613 --> 00:15:30,253
Speaker 15: Yes, it was interesting because I was still working part

322
00:15:30,373 --> 00:15:32,532
Speaker 15: time in the farms, you know where I saved it.

323
00:15:32,933 --> 00:15:35,493
Speaker 15: So it got quite interesting because we were part of

324
00:15:35,493 --> 00:15:38,813
Speaker 15: a three day walk at one stage, and that was

325
00:15:38,853 --> 00:15:41,973
Speaker 15: exciting when we had all these people coming who demanded

326
00:15:42,053 --> 00:15:45,533
Speaker 15: lunch and breakfast and dinner, et cetera. And it was

327
00:15:45,533 --> 00:15:47,053
Speaker 15: a bit of juggling. But with the help of my

328
00:15:47,133 --> 00:15:49,453
Speaker 15: family and things, we worked on it. And well it's

329
00:15:49,533 --> 00:15:51,373
Speaker 15: hard work. It was, you know, you went to be tired,

330
00:15:51,413 --> 00:15:52,613
Speaker 15: but it was rewarded.

331
00:15:53,293 --> 00:15:56,293
Speaker 3: Yeah, And I mean it was a little bit scary

332
00:15:56,333 --> 00:15:58,453
Speaker 3: when you made that decision sharing. Clearly you wanted a

333
00:15:58,493 --> 00:16:00,733
Speaker 3: bit of change, but was there was it a bit

334
00:16:00,813 --> 00:16:03,373
Speaker 3: daunting to look at how you were going to make

335
00:16:03,373 --> 00:16:03,813
Speaker 3: this work.

336
00:16:05,093 --> 00:16:07,453
Speaker 15: Yeah, to a degree, it was. It was a different

337
00:16:07,493 --> 00:16:08,613
Speaker 15: industry back then.

338
00:16:09,293 --> 00:16:09,693
Speaker 10: It was.

339
00:16:09,853 --> 00:16:13,533
Speaker 15: I mean, you basically only Airbnb had kind of started,

340
00:16:13,533 --> 00:16:16,053
Speaker 15: but it wasn't here in a big way. So we

341
00:16:16,133 --> 00:16:18,373
Speaker 15: had mainly Boka bats with that, which was the local

342
00:16:18,413 --> 00:16:21,533
Speaker 15: platform that people booked through or trade me as well,

343
00:16:21,533 --> 00:16:24,653
Speaker 15: and so you had mostly mainly local people coming Ortho.

344
00:16:24,693 --> 00:16:27,933
Speaker 15: He had a few visitors from the sign down the road,

345
00:16:27,973 --> 00:16:31,533
Speaker 15: you know, to call up seats availability. So it was

346
00:16:31,613 --> 00:16:34,773
Speaker 15: different in that regard and people were different back then.

347
00:16:35,453 --> 00:16:37,573
Speaker 16: So oh it was good.

348
00:16:37,973 --> 00:16:40,813
Speaker 15: I just had to steep learning curve, but you learned

349
00:16:40,813 --> 00:16:42,213
Speaker 15: what you shouldn't do and what you should do.

350
00:16:42,693 --> 00:16:45,173
Speaker 3: So anyone out there who you know they've had an

351
00:16:45,253 --> 00:16:48,373
Speaker 3: unexpected change in their life situation, what would you say

352
00:16:48,413 --> 00:16:51,013
Speaker 3: to them if they're looking at giving something newer crack?

353
00:16:51,053 --> 00:16:52,013
Speaker 3: What would be your advice?

354
00:16:52,893 --> 00:16:53,893
Speaker 10: Oh, just go for it.

355
00:16:53,933 --> 00:16:58,093
Speaker 15: I mean it's like my son, he's twenty three and

356
00:16:58,493 --> 00:17:01,293
Speaker 15: he had various jobs, apprenticeships. E says, well, he never

357
00:17:01,373 --> 00:17:05,213
Speaker 15: quite found his niche and then he landed on something

358
00:17:05,413 --> 00:17:07,493
Speaker 15: and he has his own business and he loves it

359
00:17:07,533 --> 00:17:10,253
Speaker 15: and it was a leader safe. He was a bit concerned.

360
00:17:10,253 --> 00:17:12,453
Speaker 15: But this is once you don't do it, you'll never know.

361
00:17:12,733 --> 00:17:15,253
Speaker 15: So that's our philosophy. I guess you've got to try

362
00:17:15,293 --> 00:17:16,013
Speaker 15: it then you'll know.

363
00:17:16,293 --> 00:17:19,013
Speaker 2: Yeah, there you go. Sharon the sixty is forty four

364
00:17:19,093 --> 00:17:21,813
Speaker 2: years old, working to launch Phase two, a little golfers

365
00:17:21,933 --> 00:17:25,093
Speaker 2: called Park Parshark, Dot Cod and Z. She's tough choosing

366
00:17:25,133 --> 00:17:28,893
Speaker 2: to break employments. Golden handcuffs just gone to pars Shark.

367
00:17:29,373 --> 00:17:32,253
Speaker 2: So you've got some club bags there you go and

368
00:17:32,253 --> 00:17:35,813
Speaker 2: look at that headcovers. I like this one. The longest

369
00:17:35,893 --> 00:17:40,693
Speaker 2: drive in town. You've got the up the pass, You've

370
00:17:40,733 --> 00:17:44,653
Speaker 2: got the four four four right one. Yeah, I love

371
00:17:44,853 --> 00:17:45,373
Speaker 2: you love it.

372
00:17:45,453 --> 00:17:50,733
Speaker 3: No bogies, just sweet deals. Yeah, go that person love it. Hey,

373
00:17:50,733 --> 00:17:52,813
Speaker 3: these are pretty cool. Look at that.

374
00:17:52,853 --> 00:17:55,253
Speaker 2: There's some good You've got a good par shark polo

375
00:17:55,333 --> 00:17:57,133
Speaker 2: in there. That's good stuff.

376
00:17:57,253 --> 00:18:00,573
Speaker 3: You go, oh, it's good that as payday tomorrow. Well done,

377
00:18:00,573 --> 00:18:03,293
Speaker 3: parshark dot co dot n Z. Oh wait, hundred eighty

378
00:18:03,293 --> 00:18:05,373
Speaker 3: ten eighty is the number call. We've got full boards

379
00:18:05,373 --> 00:18:07,373
Speaker 3: at the moment. If you can't get through, keep trying.

380
00:18:07,693 --> 00:18:10,373
Speaker 3: It's a great discsh if you've found success later in life,

381
00:18:10,413 --> 00:18:12,653
Speaker 3: love to hear your story and your advice for people

382
00:18:12,653 --> 00:18:15,253
Speaker 3: out there listening who may be thinking of doing something similar.

383
00:18:15,453 --> 00:18:18,853
Speaker 2: No delays, no nonsense, just great golf gear pas shark

384
00:18:18,933 --> 00:18:20,013
Speaker 2: water slogan.

385
00:18:22,013 --> 00:18:22,773
Speaker 4: US Talk said.

386
00:18:22,813 --> 00:18:25,733
Speaker 17: The headlines with blue bubble taxis it's no trouble with

387
00:18:25,813 --> 00:18:29,413
Speaker 17: a blue bubble. Economists predict the Reserve Bank will drop

388
00:18:29,453 --> 00:18:32,853
Speaker 17: the ocr another twenty five basis points in two weeks

389
00:18:33,093 --> 00:18:35,693
Speaker 17: on the back of our five year high for unemployment

390
00:18:35,813 --> 00:18:39,293
Speaker 17: at five point two percent. The Grosser Reaction Group is

391
00:18:39,333 --> 00:18:41,813
Speaker 17: again calling for the government to break up New Zealand's

392
00:18:41,813 --> 00:18:45,133
Speaker 17: supermarket giants, with figures showing our food prices at the

393
00:18:45,133 --> 00:18:49,173
Speaker 17: fifth highest in the developed world. Masterton Police Station is

394
00:18:49,253 --> 00:18:52,213
Speaker 17: back out of lockdown after a man threatened a front

395
00:18:52,253 --> 00:18:56,013
Speaker 17: desk staffer with a knife just before midday. Officers tasered

396
00:18:56,053 --> 00:18:59,573
Speaker 17: and arrested him and no staff were injured. A proposal

397
00:18:59,653 --> 00:19:02,693
Speaker 17: for a marina near Russell, opposed by EWE and the

398
00:19:02,733 --> 00:19:05,813
Speaker 17: local boat club, will move ahead under the fast track

399
00:19:05,893 --> 00:19:09,013
Speaker 17: consenting process. It would offer space for a two hundred

400
00:19:09,053 --> 00:19:12,973
Speaker 17: boats and fourteen souper yachts. Excitement in Canterbury as the

401
00:19:13,053 --> 00:19:17,613
Speaker 17: Lake aliesmeyor tar Fucky Aerospace Center announces a permanent flight

402
00:19:17,653 --> 00:19:21,853
Speaker 17: testing area for flights and advanced aviation tech. The iconic

403
00:19:21,973 --> 00:19:24,933
Speaker 17: Rocky Horror Show is returning to theaters in Auckland, Wellington

404
00:19:24,933 --> 00:19:28,573
Speaker 17: and christ Church next March, fresh from London's West End.

405
00:19:28,973 --> 00:19:32,733
Speaker 17: Plus the New Zealand Top busiest ten house builders how

406
00:19:32,813 --> 00:19:35,253
Speaker 17: they cope with the downturn. Find out more at endzt

407
00:19:35,293 --> 00:19:37,693
Speaker 17: Herald Premium. Now back to Matt and Tyler.

408
00:19:37,813 --> 00:19:40,093
Speaker 3: Thank you very much, Wendy and having a great discussion

409
00:19:40,133 --> 00:19:44,173
Speaker 3: about getting success later in life. Some fantastic stories coming through.

410
00:19:44,333 --> 00:19:46,893
Speaker 2: Hi guys started a business at sixty three years of age,

411
00:19:46,933 --> 00:19:49,853
Speaker 2: still energized and committed and working in it ten years later.

412
00:19:50,013 --> 00:19:54,173
Speaker 2: Chairs No way am I retiring, good Man, Hi, Matt

413
00:19:54,213 --> 00:19:57,053
Speaker 2: and Tyler. I'm listening to all these with no energy

414
00:19:57,093 --> 00:19:58,973
Speaker 2: to get out there and do these things. I guess

415
00:19:59,053 --> 00:20:01,413
Speaker 2: energy comes from the thought process more than anything. So

416
00:20:02,293 --> 00:20:04,613
Speaker 2: just not motivated. And it's tough if you're not motivated,

417
00:20:04,893 --> 00:20:09,293
Speaker 2: and my populace of motivations holds you back. In my opinion,

418
00:20:09,373 --> 00:20:12,373
Speaker 2: I think that, in my opinion, motivator holds you back.

419
00:20:12,493 --> 00:20:15,653
Speaker 2: You get nowhere without motivation. Cheers Nikki. Yeah, finding motivation

420
00:20:16,013 --> 00:20:17,373
Speaker 2: and inspiration.

421
00:20:17,013 --> 00:20:18,093
Speaker 3: Yeah, that is a big thing.

422
00:20:18,133 --> 00:20:20,333
Speaker 2: But I mean, if the thing is if you give

423
00:20:20,413 --> 00:20:23,733
Speaker 2: up at thirty seven, that's a long time to be

424
00:20:23,893 --> 00:20:25,093
Speaker 2: doing nothing. Surely you can.

425
00:20:25,013 --> 00:20:29,173
Speaker 3: Get You can create your own motivation or find something

426
00:20:29,213 --> 00:20:31,053
Speaker 3: that motivates you and gets you excited.

427
00:20:31,173 --> 00:20:34,413
Speaker 2: Absolutely, steffs is this is people's problems. They look at

428
00:20:34,453 --> 00:20:36,733
Speaker 2: others and feel jealous. They don't see the sleepless nights

429
00:20:36,733 --> 00:20:39,292
Speaker 2: and the hard grind. I hardly get any sleep, grinding

430
00:20:39,333 --> 00:20:41,693
Speaker 2: out work and fall asleep at my laptop often as

431
00:20:41,733 --> 00:20:44,213
Speaker 2: I work two jobs, we work long hours and work

432
00:20:44,213 --> 00:20:46,653
Speaker 2: on our weekends, but should be able to reduce our

433
00:20:46,693 --> 00:20:49,493
Speaker 2: workload next year and each year following that. Each plan

434
00:20:49,573 --> 00:20:51,853
Speaker 2: takes at least five years from idea to actually working.

435
00:20:52,093 --> 00:20:54,773
Speaker 2: It's a hard slog. If you want the benefits.

436
00:20:54,853 --> 00:20:58,333
Speaker 3: Yeah, good text, Thank you very much. Paulio, how are you?

437
00:20:59,453 --> 00:20:59,653
Speaker 5: Yeah?

438
00:20:59,853 --> 00:21:00,413
Speaker 14: Good Tyler?

439
00:21:00,493 --> 00:21:01,773
Speaker 3: Are you good mate?

440
00:21:01,933 --> 00:21:05,013
Speaker 14: And what's your interesting conversation? I've got a couple of

441
00:21:05,013 --> 00:21:08,333
Speaker 14: things to cover off. Look, there's someone that I subscribe

442
00:21:08,453 --> 00:21:12,053
Speaker 14: to in my social media world called Gary V or

443
00:21:12,053 --> 00:21:17,773
Speaker 14: Gary Vaynerchuk. He is ah for one of a better word,

444
00:21:18,373 --> 00:21:22,813
Speaker 14: a outspoken, sort of motivating person and if he if

445
00:21:22,853 --> 00:21:24,813
Speaker 14: he talks to anyone that's sort of giving up at

446
00:21:24,853 --> 00:21:26,733
Speaker 14: that thirty seven age, he'll tell him to get the

447
00:21:26,933 --> 00:21:31,093
Speaker 14: f on with it, and by no uncertain measures will

448
00:21:31,373 --> 00:21:33,413
Speaker 14: kind of give him a pretty good self correction. So

449
00:21:33,453 --> 00:21:36,333
Speaker 14: if you're needing some motivation, look up. Gary V or

450
00:21:36,373 --> 00:21:41,253
Speaker 14: Gary Van Vaynerchuk is a full name and a Y.

451
00:21:41,493 --> 00:21:45,133
Speaker 2: N E R C h U K American business man.

452
00:21:45,373 --> 00:21:49,253
Speaker 14: Yeah, yeah, he's awesome. You should probably have. We probably

453
00:21:49,253 --> 00:21:51,573
Speaker 14: worth vesting a couple of videos before you play them on.

454
00:21:51,533 --> 00:21:52,213
Speaker 4: The earth if you did.

455
00:21:53,933 --> 00:21:58,933
Speaker 14: But he's very entertaining and very much worth. A lot

456
00:21:58,933 --> 00:22:01,373
Speaker 14: of people are having a hard time turn into him

457
00:22:01,493 --> 00:22:03,613
Speaker 14: listen to him and yeah, he's a legend.

458
00:22:04,053 --> 00:22:04,373
Speaker 4: Yeah.

459
00:22:04,653 --> 00:22:07,013
Speaker 14: Amid from that, I mean the Back of the Y

460
00:22:07,293 --> 00:22:11,413
Speaker 14: and the re Birth of Mister he has.

461
00:22:11,293 --> 00:22:15,293
Speaker 3: Been real life example right here.

462
00:22:17,733 --> 00:22:17,933
Speaker 4: Yeah.

463
00:22:19,213 --> 00:22:21,613
Speaker 2: Look, when when I was making that shows as a

464
00:22:21,613 --> 00:22:23,933
Speaker 2: as a young man, you wouldn't probably wouldn't have picked

465
00:22:23,933 --> 00:22:25,613
Speaker 2: me to be on news so he'd be in the afternoon.

466
00:22:25,613 --> 00:22:27,653
Speaker 14: It was a little bit shocked actually when he first

467
00:22:27,733 --> 00:22:30,893
Speaker 14: came on, to be fair, probably.

468
00:22:30,613 --> 00:22:32,733
Speaker 2: The most disgusting show ever made.

469
00:22:33,733 --> 00:22:40,613
Speaker 14: Yeah, exactly, Its awesome, mate. Beyond beyond that, look, I

470
00:22:40,813 --> 00:22:43,573
Speaker 14: run a business that my dad started and he was

471
00:22:43,613 --> 00:22:48,453
Speaker 14: a plumber in Littleton, christ area, started Littleton Plumbers with

472
00:22:48,533 --> 00:22:51,052
Speaker 14: his brother and then kind of broke off in his

473
00:22:51,253 --> 00:22:55,293
Speaker 14: forties and started a business called Spiral Lock Tubing. Right,

474
00:22:55,373 --> 00:22:58,933
Speaker 14: So basically he was looking for something to do that

475
00:22:59,133 --> 00:23:00,853
Speaker 14: wasn't plumbing because they got sick of being a plumber

476
00:23:00,853 --> 00:23:05,653
Speaker 14: in Littleton and he went out on his own nothing

477
00:23:05,693 --> 00:23:08,693
Speaker 14: to really make Originally, this is a nineteen the early

478
00:23:08,773 --> 00:23:11,733
Speaker 14: ninety seventies seventy six sort of thing, and he was

479
00:23:12,013 --> 00:23:14,933
Speaker 14: starting to make things like car washing machines. He wanted

480
00:23:14,933 --> 00:23:17,573
Speaker 14: to make drill presses and all sorts of stuff and

481
00:23:18,253 --> 00:23:20,453
Speaker 14: like space heaters and woodburners and that sort of thing.

482
00:23:21,373 --> 00:23:24,613
Speaker 14: He went to buy a couple of months of tube

483
00:23:24,653 --> 00:23:28,693
Speaker 14: for that machine and for a woodburner that he was developing,

484
00:23:29,293 --> 00:23:33,293
Speaker 14: and the tube wasn't available with the machine was the sale.

485
00:23:34,253 --> 00:23:38,013
Speaker 14: So basically he ended up buying that machine and building

486
00:23:38,093 --> 00:23:43,693
Speaker 14: a business manufacturing business around that machine. And today we

487
00:23:43,773 --> 00:23:51,413
Speaker 14: still employ eight eight guys and run manufacturing sheet metal

488
00:23:51,493 --> 00:23:56,052
Speaker 14: engineering business Prossure. So, you know, and you just got

489
00:23:56,093 --> 00:23:59,093
Speaker 14: to keep reinventing things because the reality is nothing. You know,

490
00:23:59,173 --> 00:24:02,333
Speaker 14: nothing stands still for long. And you know, we've got

491
00:24:02,333 --> 00:24:04,653
Speaker 14: even in business that's been around for a long time,

492
00:24:04,693 --> 00:24:06,733
Speaker 14: you've just got to keep keep inventing it. We make

493
00:24:06,773 --> 00:24:10,093
Speaker 14: little things, little units that our wood fires are heading

494
00:24:10,133 --> 00:24:13,853
Speaker 14: an outdoor bath, and that's something that's kind of come

495
00:24:13,973 --> 00:24:16,133
Speaker 14: completely left field, but it's been a really good little

496
00:24:16,693 --> 00:24:20,052
Speaker 14: for us. What do you call it, spiralck s p

497
00:24:20,173 --> 00:24:25,453
Speaker 14: i O l o C A little s p I

498
00:24:25,613 --> 00:24:30,093
Speaker 14: r oporro l o C l oc. Yeah, cool, yeah,

499
00:24:30,253 --> 00:24:33,213
Speaker 14: and yeah, we make all sorts of We make a

500
00:24:33,213 --> 00:24:36,933
Speaker 14: little wood benef for tiny houses, a bunch of off

501
00:24:36,973 --> 00:24:40,693
Speaker 14: grid type water heating devices, so from anywhere from a

502
00:24:40,733 --> 00:24:44,853
Speaker 14: spar pool up to a swimming pool. And yeah, essentially

503
00:24:44,973 --> 00:24:47,253
Speaker 14: we've just got to keep dreaming up new stuff to

504
00:24:47,293 --> 00:24:51,213
Speaker 14: make and being being inventive about it. And in the

505
00:24:51,293 --> 00:24:56,373
Speaker 14: re alias, you know, it's it's it's it's a bit

506
00:24:56,413 --> 00:24:58,133
Speaker 14: of fun too, you know. I think that's that's something

507
00:24:58,173 --> 00:25:00,853
Speaker 14: I've learned from my dad and and he was really,

508
00:25:01,773 --> 00:25:04,333
Speaker 14: you know, able to be inventive in a time where

509
00:25:05,053 --> 00:25:07,773
Speaker 14: you know, it was you know, when you started plumbing,

510
00:25:08,013 --> 00:25:13,133
Speaker 14: there was one one electric drill for twelve plumbers, you

511
00:25:13,133 --> 00:25:15,493
Speaker 14: know what I mean. It's a hard thing to even

512
00:25:15,573 --> 00:25:17,253
Speaker 14: think back to when you couldn't just go and buy

513
00:25:17,253 --> 00:25:20,253
Speaker 14: an electric drill or whatever it is, you know, sort

514
00:25:20,253 --> 00:25:22,893
Speaker 14: of you know that the world changed a huge amount

515
00:25:23,093 --> 00:25:25,053
Speaker 14: that in the last fifty years, and it's hard to

516
00:25:25,053 --> 00:25:27,373
Speaker 14: even see them some times, how much.

517
00:25:27,693 --> 00:25:30,533
Speaker 3: Yeah, love it. Good on you, mate, and beautiful website

518
00:25:30,573 --> 00:25:33,013
Speaker 3: as well. Paulio, thank you very much for giving us

519
00:25:33,053 --> 00:25:34,933
Speaker 3: a buzz. Oh eight hundred and eighty ten eighty is

520
00:25:34,973 --> 00:25:37,053
Speaker 3: the numbered call if you found success later in life.

521
00:25:37,133 --> 00:25:39,333
Speaker 3: Or you're giving it a crack right now. We would

522
00:25:39,333 --> 00:25:40,253
Speaker 3: love to hear your stories.

523
00:25:40,413 --> 00:25:42,813
Speaker 2: Colonel Sanders was sixty four when he decided to cook

524
00:25:42,933 --> 00:25:45,573
Speaker 2: market and launch KFC. Sadly he sold the business stuff

525
00:25:45,573 --> 00:25:48,053
Speaker 2: for a couple of years, not realizing the potential.

526
00:25:48,573 --> 00:25:51,413
Speaker 3: But yeah, sixty four, yeah KFC, look at it now,

527
00:25:52,053 --> 00:25:54,973
Speaker 3: love it. It is twenty two to two.

528
00:25:55,853 --> 00:26:00,733
Speaker 1: Your home of afternoon talk Man Heathen Taylor Adams afternoons.

529
00:26:00,253 --> 00:26:02,813
Speaker 4: Call Oh eight hundred eighty ten eighty us talk.

530
00:26:02,893 --> 00:26:06,173
Speaker 3: Say'd be very good afternoon. It is nineteen to two.

531
00:26:06,373 --> 00:26:09,093
Speaker 2: I'm very excited. I just got invite to a screening

532
00:26:09,133 --> 00:26:13,532
Speaker 2: of The Naked Gun. Oh that looks like you know,

533
00:26:13,533 --> 00:26:15,453
Speaker 2: I'm a huge fan of the original Raked Gun yep,

534
00:26:15,533 --> 00:26:18,373
Speaker 2: and the second and the third, but this Leam Neeson

535
00:26:18,533 --> 00:26:21,173
Speaker 2: remake of the Naked Gun looks so very good. But

536
00:26:21,293 --> 00:26:22,933
Speaker 2: it's out in the States right now, but for some reason,

537
00:26:22,973 --> 00:26:24,733
Speaker 2: it's not coming out here till the end of the month.

538
00:26:25,973 --> 00:26:27,933
Speaker 2: It's delayed. It's taking it back to the old days,

539
00:26:28,053 --> 00:26:30,493
Speaker 2: and you know New Zealand you skip movies way after

540
00:26:30,493 --> 00:26:30,973
Speaker 2: the States.

541
00:26:31,573 --> 00:26:33,533
Speaker 3: But I'm happy for you, mate, You've been talking about

542
00:26:33,573 --> 00:26:34,933
Speaker 3: that for a long time and you were a bit

543
00:26:34,933 --> 00:26:36,853
Speaker 3: annoyed it wasn't coming here, but now you were a

544
00:26:36,853 --> 00:26:38,293
Speaker 3: front row seat for the premier year.

545
00:26:38,373 --> 00:26:39,213
Speaker 2: I'm excited.

546
00:26:39,333 --> 00:26:40,173
Speaker 3: Yeah, very good.

547
00:26:40,453 --> 00:26:40,572
Speaker 8: Right.

548
00:26:40,613 --> 00:26:42,693
Speaker 3: We are talking about success later in life and getting

549
00:26:42,693 --> 00:26:45,613
Speaker 3: some great stories coming through. This is a nice text, Koday, guys.

550
00:26:45,653 --> 00:26:48,413
Speaker 3: I launched my own clothing business just over two years

551
00:26:48,413 --> 00:26:50,373
Speaker 3: ago at the ripe old age of fifty two. I've

552
00:26:50,413 --> 00:26:52,613
Speaker 3: never worked in the fashion industry, but always had a

553
00:26:52,693 --> 00:26:54,733
Speaker 3: vision and a dream to have my own clothing company.

554
00:26:54,813 --> 00:26:57,533
Speaker 3: I was spurred into action when my sister passed away

555
00:26:57,573 --> 00:27:00,133
Speaker 3: and realized life is too short. The business is named

556
00:27:00,173 --> 00:27:02,933
Speaker 3: after her, Amber Dawn. What a beautiful name, and I

557
00:27:02,973 --> 00:27:05,253
Speaker 3: absolutely love it. I'm still working on my day job

558
00:27:05,293 --> 00:27:07,893
Speaker 3: at hoping one day Amber Dawn will pay off the

559
00:27:07,893 --> 00:27:11,013
Speaker 3: website as Amber Dawn dot co dot in Zed read.

560
00:27:10,893 --> 00:27:14,533
Speaker 2: You guys saying that it's depressing giving up at thirty seven.

561
00:27:15,253 --> 00:27:17,812
Speaker 2: Have these idiots not heard of ripping bongs and day drinking.

562
00:27:18,053 --> 00:27:21,973
Speaker 3: I'm sure they have. That's a generalization there, but.

563
00:27:22,013 --> 00:27:25,253
Speaker 2: So thirty seven till you know, you generally expected these

564
00:27:25,333 --> 00:27:28,333
Speaker 2: days to live to you know, mid eighties ninety it's

565
00:27:28,373 --> 00:27:30,812
Speaker 2: a long time to be ripping bongs. And dray drinking.

566
00:27:30,933 --> 00:27:33,053
Speaker 3: Yes, certainly it's not good for the motivation as well.

567
00:27:33,173 --> 00:27:35,853
Speaker 2: A half century of ripping bongs and day drinking. Yeah,

568
00:27:36,013 --> 00:27:38,053
Speaker 2: I mean it might be all right for a few days,

569
00:27:38,093 --> 00:27:42,693
Speaker 2: but fifty years might be too much. Helene, how are you?

570
00:27:43,973 --> 00:27:45,013
Speaker 10: I'm very well thanked.

571
00:27:45,093 --> 00:27:46,853
Speaker 2: How are you? Did I say your name right there?

572
00:27:47,813 --> 00:27:48,133
Speaker 18: You did?

573
00:27:48,213 --> 00:27:48,733
Speaker 4: Indeed? Yah?

574
00:27:48,773 --> 00:27:48,933
Speaker 7: Oh?

575
00:27:48,933 --> 00:27:53,533
Speaker 2: Good, good good. So you're about to publish a book, Well.

576
00:27:54,533 --> 00:27:58,813
Speaker 10: Yeah, that's the plan, and it's an introductory book and

577
00:27:58,933 --> 00:28:00,773
Speaker 10: it will be followed by a trilogy.

578
00:28:01,333 --> 00:28:01,533
Speaker 2: Wow.

579
00:28:02,133 --> 00:28:04,053
Speaker 10: But I've been working on it on an art for

580
00:28:04,133 --> 00:28:06,933
Speaker 10: some time, and I really should have attended to it

581
00:28:06,973 --> 00:28:09,893
Speaker 10: and finished it of ages ago, because I'm now eighty

582
00:28:09,973 --> 00:28:14,013
Speaker 10: seven years old. So you know, it's a matter of

583
00:28:14,693 --> 00:28:16,693
Speaker 10: as long as I think it knocked off my perch.

584
00:28:16,733 --> 00:28:21,413
Speaker 10: In the meantime, hopefully i'll have it all out there.

585
00:28:20,853 --> 00:28:21,733
Speaker 7: What is it?

586
00:28:22,373 --> 00:28:23,453
Speaker 2: If you don't mind me asking?

587
00:28:23,573 --> 00:28:23,653
Speaker 6: Hi?

588
00:28:24,893 --> 00:28:30,693
Speaker 10: Well, the first book is introduces the trilogy, So it's

589
00:28:30,933 --> 00:28:33,733
Speaker 10: a bit of a it's a little bit of a

590
00:28:34,173 --> 00:28:38,693
Speaker 10: I don't know how to describe it, but it's well.

591
00:28:38,573 --> 00:28:40,533
Speaker 15: It's it's more of a.

592
00:28:40,213 --> 00:28:44,413
Speaker 10: Journey because I did go on what I called a

593
00:28:44,493 --> 00:28:49,293
Speaker 10: pilgrimage because of an experience that I had that was

594
00:28:49,533 --> 00:28:54,973
Speaker 10: absolutely well, it's something that I couldn't ignore, right, and

595
00:28:55,253 --> 00:28:57,733
Speaker 10: I've really had to follow through. So you could call

596
00:28:57,773 --> 00:29:04,333
Speaker 10: it psychic. I suppose that I made and got apocalypse

597
00:29:04,373 --> 00:29:08,333
Speaker 10: written on it. And because it was, I think an apocalypse,

598
00:29:09,133 --> 00:29:16,013
Speaker 10: an apocalyptic experience and something that has altered my life.

599
00:29:16,213 --> 00:29:17,333
Speaker 2: Can you describe it to us?

600
00:29:17,613 --> 00:29:21,173
Speaker 4: The experience, Well, it's a bit weird.

601
00:29:21,213 --> 00:29:21,613
Speaker 6: Actually.

602
00:29:23,133 --> 00:29:26,133
Speaker 10: I was going through a very nasty, well and upsetting

603
00:29:27,373 --> 00:29:31,933
Speaker 10: breakdown on a long term relationship, and I was suffering

604
00:29:31,973 --> 00:29:38,013
Speaker 10: from things like galloping, insomnia, migrain headaches, et cetera. My

605
00:29:38,053 --> 00:29:41,373
Speaker 10: doctor sent me to the pain Clinic at Auckland Hospital

606
00:29:41,373 --> 00:29:46,733
Speaker 10: where I had therapy and it was absolutely wonderful. It

607
00:29:46,893 --> 00:29:49,813
Speaker 10: really set me back on my fees and cured my

608
00:29:49,893 --> 00:29:54,053
Speaker 10: problems completely. But at the end of my treatment, my

609
00:29:54,213 --> 00:29:58,333
Speaker 10: therapist suggested that he put me into a state of

610
00:29:58,413 --> 00:30:02,173
Speaker 10: hypnosis so that when I left the pain clinic I

611
00:30:02,173 --> 00:30:04,533
Speaker 10: would have a self help tool that I could continue

612
00:30:04,573 --> 00:30:09,093
Speaker 10: to employ and you know, to my migrain benefits. So

613
00:30:09,653 --> 00:30:13,293
Speaker 10: that's what we did, and I had what he called

614
00:30:13,373 --> 00:30:18,453
Speaker 10: peak experience under hypnosis, and that's what started the whole thing.

615
00:30:18,613 --> 00:30:24,333
Speaker 10: And then the synchronicities began and they were absolutely amazing, magical,

616
00:30:24,733 --> 00:30:29,413
Speaker 10: totally magical, and I simply had to follow through. So

617
00:30:29,693 --> 00:30:32,173
Speaker 10: the Oracle Rock is the name of the book and

618
00:30:34,093 --> 00:30:38,453
Speaker 10: written the Oracle Rock because one of the one of

619
00:30:38,493 --> 00:30:41,093
Speaker 10: the places, or perhaps the key place that I visited

620
00:30:41,133 --> 00:30:45,773
Speaker 10: while I was overseas on my pilgrimage was the oracle

621
00:30:45,893 --> 00:30:51,893
Speaker 10: site of Delphi, the you know, the old ruins of Pollo,

622
00:30:52,373 --> 00:30:57,293
Speaker 10: the temple of Apollo delphineas in Delphi in Greece, and

623
00:30:57,373 --> 00:31:00,973
Speaker 10: I went there with my daughter and while I was there,

624
00:31:01,053 --> 00:31:03,453
Speaker 10: I decided to put up to the oracle for direction

625
00:31:03,613 --> 00:31:07,453
Speaker 10: and focus in my life. And I've just kind of

626
00:31:08,453 --> 00:31:11,253
Speaker 10: distinctively picked up a rock from the past which was

627
00:31:11,693 --> 00:31:14,333
Speaker 10: covered in broken bits of rock, you know, thousands of

628
00:31:14,653 --> 00:31:18,213
Speaker 10: some pieces, and I just held this rock. I asked

629
00:31:18,253 --> 00:31:21,933
Speaker 10: the oracle for help, you know, for focus. And when

630
00:31:21,973 --> 00:31:24,453
Speaker 10: I got back to Athens that night, I showed it

631
00:31:24,453 --> 00:31:27,133
Speaker 10: to my daughter. She turned it over and there was

632
00:31:27,253 --> 00:31:29,973
Speaker 10: cracked warn marble on the other side with the letter

633
00:31:30,053 --> 00:31:33,653
Speaker 10: E inside on it. I mean it was you know,

634
00:31:33,653 --> 00:31:35,093
Speaker 10: it wasn't just something that looked.

635
00:31:34,893 --> 00:31:35,973
Speaker 18: Like the letter it was.

636
00:31:36,093 --> 00:31:40,013
Speaker 10: It was the old Greek letter E and which means epsilon,

637
00:31:40,293 --> 00:31:45,093
Speaker 10: and the letter E used to be above the doorway

638
00:31:45,093 --> 00:31:47,973
Speaker 10: and the pronaeus of the of the ancient temple of

639
00:31:48,053 --> 00:31:52,093
Speaker 10: a Collow, and so that there's a whole lot of

640
00:31:52,173 --> 00:31:55,333
Speaker 10: stuff relating to that. And then of course I didn't

641
00:31:55,333 --> 00:31:57,453
Speaker 10: know what it meant. I just thought, wow, you know

642
00:31:57,653 --> 00:32:00,613
Speaker 10: this is this is pretty amazing, and I kept the rock.

643
00:32:01,133 --> 00:32:04,253
Speaker 10: And then I was speaking to a friend of mine

644
00:32:04,253 --> 00:32:07,853
Speaker 10: in Australia and he told me about the letter e

645
00:32:08,093 --> 00:32:12,013
Speaker 10: italon and its relationship to the temple of apollowood Secret

646
00:32:12,853 --> 00:32:18,053
Speaker 10: and so that started it. And then things just went

647
00:32:18,133 --> 00:32:23,493
Speaker 10: on from there that were totally magical and amazing, and

648
00:32:23,573 --> 00:32:27,893
Speaker 10: the trilogy has developed from there because I had this

649
00:32:28,693 --> 00:32:32,933
Speaker 10: experience after the hypnosis at the hospital. I had this

650
00:32:33,053 --> 00:32:36,773
Speaker 10: experience where one morning, after I'd woken up and I

651
00:32:36,813 --> 00:32:41,413
Speaker 10: was sitting having my breakfast, I had this thing where

652
00:32:41,773 --> 00:32:45,613
Speaker 10: it wasn't remembering a dream or anything, very very difficult

653
00:32:45,693 --> 00:32:49,893
Speaker 10: to describe, but I suddenly had this I was a

654
00:32:49,973 --> 00:32:53,933
Speaker 10: world of graduate skeptic, but I had this sudden conviction

655
00:32:54,853 --> 00:32:58,253
Speaker 10: that telepathic dolphins had given me this story and the

656
00:32:58,333 --> 00:33:01,453
Speaker 10: story was there, and I thought, well, that's ridiculous.

657
00:33:01,533 --> 00:33:03,853
Speaker 19: And I mentioned it to my partner, who was in.

658
00:33:03,813 --> 00:33:07,053
Speaker 10: The process of breaking up with and he laughed and said,

659
00:33:07,053 --> 00:33:10,253
Speaker 10: the bigger they are, the harder it fo. So the

660
00:33:10,333 --> 00:33:15,093
Speaker 10: thing issued, I'm an artist, and that would be my job, painting,

661
00:33:15,293 --> 00:33:17,453
Speaker 10: and it was an art tutor on and off and

662
00:33:18,493 --> 00:33:23,533
Speaker 10: over the years, and that I had to just show

663
00:33:23,693 --> 00:33:26,853
Speaker 10: that my teaching job. Stop painting and just try to

664
00:33:26,893 --> 00:33:29,133
Speaker 10: work on this thing. But I didn't know how to write,

665
00:33:29,653 --> 00:33:32,173
Speaker 10: and I just kept making a message and putting it

666
00:33:32,213 --> 00:33:34,533
Speaker 10: to one side and saying, no, I can't do this,

667
00:33:34,653 --> 00:33:37,453
Speaker 10: and now I go back and so on and so forth.

668
00:33:38,173 --> 00:33:44,853
Speaker 10: And now I'm eighty seven accounting. You know, I'm sort

669
00:33:44,893 --> 00:33:48,453
Speaker 10: of looking at what I've got, which is almost all

670
00:33:48,493 --> 00:33:52,293
Speaker 10: of what I need, and thinking, well, you know, I

671
00:33:52,453 --> 00:33:54,093
Speaker 10: really need to get this show on the road.

672
00:33:54,213 --> 00:33:55,133
Speaker 19: So that's what I'm doing.

673
00:33:55,413 --> 00:33:56,733
Speaker 3: Wow, done what I story?

674
00:33:56,933 --> 00:34:00,653
Speaker 2: So the Oracle Rock the first of the trilogy. Yeah,

675
00:34:00,733 --> 00:34:04,853
Speaker 2: and there's some telepathic telepathic dolphins involved.

676
00:34:04,933 --> 00:34:07,213
Speaker 3: I'm keen to read it, Helen, get it out there

677
00:34:07,293 --> 00:34:09,093
Speaker 3: right now. We all want to read it.

678
00:34:09,893 --> 00:34:13,053
Speaker 2: And they get back to us once once, don't wait

679
00:34:13,093 --> 00:34:14,812
Speaker 2: till the end of the trilogy. Get back to us.

680
00:34:14,813 --> 00:34:15,893
Speaker 2: When the first volumes out.

681
00:34:16,013 --> 00:34:18,933
Speaker 3: Yep, absolutely, thank you very much. Oh, one hundred and

682
00:34:18,933 --> 00:34:20,893
Speaker 3: eighty ten eighty is the number of cour It's eleven

683
00:34:20,933 --> 00:34:24,373
Speaker 3: to two telepathic do dolphins.

684
00:34:25,613 --> 00:34:29,172
Speaker 1: Matt Heath Tylor Adams taking your calls on eight hundred

685
00:34:29,253 --> 00:34:29,893
Speaker 1: eighty eight.

686
00:34:30,133 --> 00:34:33,293
Speaker 4: It's Matt Heath and Tylor Adams Afternoons.

687
00:34:32,733 --> 00:34:36,413
Speaker 3: News Talks'd be very good afternoon to you. It is

688
00:34:36,573 --> 00:34:40,172
Speaker 3: eight two two and we're talking about success later in life.

689
00:34:40,173 --> 00:34:42,293
Speaker 3: We're trying to do something you've always wanted to do

690
00:34:42,373 --> 00:34:44,733
Speaker 3: after maybe a bit of a change in your circumstances.

691
00:34:44,853 --> 00:34:48,653
Speaker 2: We are also talking about ancient rocks from Greek temples

692
00:34:48,693 --> 00:34:54,053
Speaker 2: with epsilon inside them and how that excites the telepathic dolphins.

693
00:34:54,053 --> 00:34:55,173
Speaker 3: That was hell of a story.

694
00:34:55,213 --> 00:35:00,253
Speaker 2: That was very, very very interesting from Helene Steve, welcome

695
00:35:00,253 --> 00:35:00,652
Speaker 2: to the show.

696
00:35:02,013 --> 00:35:05,693
Speaker 20: How you doing? Is he a psychedelic.

697
00:35:07,373 --> 00:35:09,813
Speaker 3: She's a hard one to follow from safe Do you

698
00:35:09,813 --> 00:35:11,133
Speaker 3: think you might have taken the end?

699
00:35:11,293 --> 00:35:16,732
Speaker 20: Not really, not really, not really so harsh. So anyway, look,

700
00:35:17,133 --> 00:35:19,053
Speaker 20: it looks like you guys are enjoying yourself, which is

701
00:35:19,093 --> 00:35:23,973
Speaker 20: always nice. I'm sixty sixty one, to be honest, and

702
00:35:24,053 --> 00:35:26,013
Speaker 20: I thought I heard you guys talk and I'm like, well,

703
00:35:26,293 --> 00:35:28,053
Speaker 20: this is not my thing. You know, you talk about

704
00:35:28,093 --> 00:35:32,333
Speaker 20: a success, I'm a failed startup guy. So in fact,

705
00:35:32,373 --> 00:35:34,333
Speaker 20: I just shut down. I had a startup for twelve

706
00:35:34,413 --> 00:35:37,573
Speaker 20: years around innovation. I just shut it down last week,

707
00:35:37,773 --> 00:35:40,573
Speaker 20: you know. So my point is, you know, I guess

708
00:35:40,573 --> 00:35:42,692
Speaker 20: my reason why I called you is I think it's

709
00:35:43,253 --> 00:35:46,172
Speaker 20: it's all around defining success. So what is success? So

710
00:35:46,253 --> 00:35:49,493
Speaker 20: for me, I'm back in the corporate world. I've done

711
00:35:49,493 --> 00:35:52,253
Speaker 20: three or four startups. I didn't I had big customers,

712
00:35:52,293 --> 00:35:54,013
Speaker 20: all that thing. I didn't make the money I wanted

713
00:35:54,013 --> 00:35:54,253
Speaker 20: to make.

714
00:35:54,293 --> 00:35:54,893
Speaker 21: I didn't live the.

715
00:35:54,893 --> 00:35:57,253
Speaker 20: Life I wanted to lie I did in terms of

716
00:35:57,293 --> 00:36:00,093
Speaker 20: following my bliss and doing what I love doing. I'm

717
00:36:00,093 --> 00:36:02,493
Speaker 20: passionate about what I do. So I find myself back

718
00:36:02,533 --> 00:36:05,933
Speaker 20: as as a corporate guy. But I think it comes back,

719
00:36:05,973 --> 00:36:08,573
Speaker 20: I guess, and I didn't realize until I heard El

720
00:36:09,093 --> 00:36:12,093
Speaker 20: talk about I just wrote a book, you know, beyond

721
00:36:12,133 --> 00:36:16,533
Speaker 20: the scoreboard, CONVULTI Cultivating Resilience in young athletes. I forgot

722
00:36:16,533 --> 00:36:16,893
Speaker 20: about that.

723
00:36:16,973 --> 00:36:17,652
Speaker 4: I even did that.

724
00:36:18,293 --> 00:36:20,813
Speaker 20: It's something you know. I've been a coach on the

725
00:36:20,893 --> 00:36:24,013
Speaker 20: side of volunteer basketball coach for the last thirteen years

726
00:36:24,053 --> 00:36:27,293
Speaker 20: in Wellington, so you know, I guess that would be

727
00:36:27,333 --> 00:36:29,613
Speaker 20: later in success in life. But I guess my story

728
00:36:29,813 --> 00:36:33,133
Speaker 20: is I feel like I'm hugely successful. And why is

729
00:36:33,173 --> 00:36:36,133
Speaker 20: that even as I get later in life is because

730
00:36:37,453 --> 00:36:39,373
Speaker 20: no regrets, you know what I'm saying. I mean, I

731
00:36:39,573 --> 00:36:43,093
Speaker 20: backpacked for three years around the world and I didn't

732
00:36:43,093 --> 00:36:45,253
Speaker 20: make money then, so I didn't have the assets that

733
00:36:45,293 --> 00:36:47,973
Speaker 20: other than my other mates had. But you know, it's

734
00:36:48,013 --> 00:36:50,533
Speaker 20: how I think. The critical question in terms of that

735
00:36:50,693 --> 00:36:53,973
Speaker 20: is how do you what do you define success as

736
00:36:54,013 --> 00:36:56,733
Speaker 20: I'm proud of my three failed startups, you know what

737
00:36:56,733 --> 00:36:57,173
Speaker 20: I mean.

738
00:36:57,053 --> 00:36:57,973
Speaker 7: Because I gave it a go.

739
00:36:58,333 --> 00:37:00,813
Speaker 4: Yeah, it didn't work out, but I gave it a go.

740
00:37:01,013 --> 00:37:02,493
Speaker 2: So what does it take to know that it's not

741
00:37:02,533 --> 00:37:03,933
Speaker 2: going to work out? You see the last one you

742
00:37:03,973 --> 00:37:06,973
Speaker 2: shut down last week or twoky, twelve years. At what

743
00:37:07,053 --> 00:37:10,293
Speaker 2: point do you know this isn't worth the energy I'm

744
00:37:10,373 --> 00:37:12,133
Speaker 2: putting into it and it's not going to work out.

745
00:37:13,293 --> 00:37:13,733
Speaker 8: Yeah?

746
00:37:13,853 --> 00:37:14,853
Speaker 20: No, that's a great question.

747
00:37:15,013 --> 00:37:15,333
Speaker 14: I think.

748
00:37:15,573 --> 00:37:17,652
Speaker 20: You know, you get as a as an entrepreneur, as

749
00:37:17,653 --> 00:37:20,093
Speaker 20: a founder, you get attached to your vision and what

750
00:37:20,133 --> 00:37:22,133
Speaker 20: it is and it should just work. So in a

751
00:37:22,213 --> 00:37:24,893
Speaker 20: in a simple simple point there, it's a it was

752
00:37:24,893 --> 00:37:27,533
Speaker 20: around an innovation, an idea management platform. I used to

753
00:37:27,573 --> 00:37:29,293
Speaker 20: live in Japan when I was younger. I got this

754
00:37:29,413 --> 00:37:34,013
Speaker 20: concept everybody should be creative and innovate on the front line. However,

755
00:37:34,373 --> 00:37:37,533
Speaker 20: I realize again and again it didn't matter the companies

756
00:37:37,573 --> 00:37:40,772
Speaker 20: I was dealing with. They're not really committed to innovation. Right.

757
00:37:40,853 --> 00:37:43,613
Speaker 20: You have an evangelist, you have somebody that believes in it,

758
00:37:43,813 --> 00:37:45,693
Speaker 20: but at the end of the day, the executive and

759
00:37:45,773 --> 00:37:48,813
Speaker 20: business will do what business does. And I was in denial.

760
00:37:48,893 --> 00:37:51,813
Speaker 20: I tried everything. You know, that wasn't my full time gig.

761
00:37:51,893 --> 00:37:54,373
Speaker 20: I was the other learning I had, and people talk

762
00:37:54,413 --> 00:37:56,772
Speaker 20: about it. I had multiple startups at the same time.

763
00:37:56,813 --> 00:37:59,692
Speaker 20: You can't do that. Maybe Elon Musk can, but you

764
00:37:59,733 --> 00:38:02,453
Speaker 20: can't do that unless you've got a gigantic brain and

765
00:38:02,493 --> 00:38:03,693
Speaker 20: you only sleep four hours.

766
00:38:03,773 --> 00:38:04,293
Speaker 3: I don't.

767
00:38:04,933 --> 00:38:07,253
Speaker 20: So the reality was, you know, you really when when

768
00:38:07,293 --> 00:38:09,573
Speaker 20: people give advice, I get advice to younger people. If

769
00:38:09,613 --> 00:38:13,453
Speaker 20: I'm mentoring someone, focus on that one thing so hard

770
00:38:13,493 --> 00:38:15,173
Speaker 20: to give it one hundred percent, and then you know,

771
00:38:15,293 --> 00:38:18,853
Speaker 20: because you get a bit delusional. Like all young people.

772
00:38:19,093 --> 00:38:22,133
Speaker 20: You know, all these at the same time, and I

773
00:38:22,133 --> 00:38:24,853
Speaker 20: can raise my three kids and I can do this

774
00:38:25,093 --> 00:38:26,813
Speaker 20: and I can no, you can't.

775
00:38:28,373 --> 00:38:30,573
Speaker 2: So do you think that at sixty one that's it

776
00:38:30,733 --> 00:38:33,133
Speaker 2: for your startups? You know you said you back in

777
00:38:33,133 --> 00:38:36,053
Speaker 2: the corporate world, But would you if the idea came along,

778
00:38:36,093 --> 00:38:38,253
Speaker 2: the right thing came along, you get back into it.

779
00:38:39,613 --> 00:38:42,173
Speaker 20: Oh well, you know, whatever I do, I need to

780
00:38:42,213 --> 00:38:44,893
Speaker 20: love doing. You know that's my mantra I walk away.

781
00:38:44,893 --> 00:38:45,692
Speaker 20: I mean I get paid.

782
00:38:45,693 --> 00:38:45,933
Speaker 2: Well.

783
00:38:46,053 --> 00:38:47,293
Speaker 20: What I do right now.

784
00:38:47,173 --> 00:38:48,453
Speaker 7: Is leading edge in New Zealand.

785
00:38:48,493 --> 00:38:51,973
Speaker 20: It's around digital identity and identity credentials. So I never

786
00:38:52,013 --> 00:38:54,973
Speaker 20: say never, just in case my employers listening. You know,

787
00:38:55,133 --> 00:38:57,413
Speaker 20: as long as I'm passionate and I feel like I

788
00:38:57,413 --> 00:39:00,253
Speaker 20: can roll the dice, I'll do what I need to do.

789
00:39:00,333 --> 00:39:02,693
Speaker 20: But at this stage of my life, I feel like

790
00:39:02,773 --> 00:39:07,093
Speaker 20: if you look back in the side mirror, view mirrors,

791
00:39:07,093 --> 00:39:09,973
Speaker 20: whatever you say, I would say that, yeah, it's been

792
00:39:10,013 --> 00:39:12,213
Speaker 20: successful and I got to continue to do that. And

793
00:39:12,253 --> 00:39:14,373
Speaker 20: the last point I'll say is as long as I

794
00:39:14,533 --> 00:39:17,973
Speaker 20: pass that on to my children in terms of understanding

795
00:39:18,013 --> 00:39:20,333
Speaker 20: what it is. Boom, I'm done.

796
00:39:20,573 --> 00:39:22,213
Speaker 2: Yeah you go. Thank you so much, Steve. You're an

797
00:39:22,253 --> 00:39:22,853
Speaker 2: uplifting guy.

798
00:39:22,933 --> 00:39:24,693
Speaker 3: Yeah, what a great call. We're going to carry this

799
00:39:24,813 --> 00:39:26,933
Speaker 3: on after two o'clock. So I'd love to hear your

800
00:39:26,973 --> 00:39:29,573
Speaker 3: stories on Oh eight hundred and eighty ten eighty did

801
00:39:29,573 --> 00:39:32,093
Speaker 3: you give something newer crack later in life and find

802
00:39:32,133 --> 00:39:35,893
Speaker 3: success or even as Steven didn't quite work out so well,

803
00:39:35,933 --> 00:39:36,973
Speaker 3: did you love it anyway?

804
00:39:37,173 --> 00:39:39,893
Speaker 2: Or if you've dealings with telepathic theme memmals, I'd love

805
00:39:39,893 --> 00:39:40,652
Speaker 2: to hear from you as well.

806
00:39:40,693 --> 00:39:42,573
Speaker 3: Absolutely, news is next.

807
00:39:46,293 --> 00:39:48,053
Speaker 4: Talking with you all afternoon.

808
00:39:48,373 --> 00:39:51,973
Speaker 1: It's Matt Heathen, Tyler Adams Afternoons New's Talks.

809
00:39:51,973 --> 00:39:56,533
Speaker 3: It'd be very good afternoons you welcome back into the program.

810
00:39:56,573 --> 00:39:59,692
Speaker 3: Awesome to have your company. As always, we have been

811
00:39:59,693 --> 00:40:02,773
Speaker 3: talking about success later in life. If you've handed a

812
00:40:02,853 --> 00:40:05,453
Speaker 3: change of circumstances and you decided to start a business

813
00:40:05,533 --> 00:40:08,133
Speaker 3: or indeed write a book, what was it that gave

814
00:40:08,173 --> 00:40:09,573
Speaker 3: you the push to do that? Oh one hundred and

815
00:40:09,573 --> 00:40:11,053
Speaker 3: eighty ten eighty is the number to call.

816
00:40:11,253 --> 00:40:13,413
Speaker 2: Hey there, I had a relationship with an absolute cad

817
00:40:13,493 --> 00:40:15,652
Speaker 2: and wanted to retaliate. So I've written a book and

818
00:40:15,653 --> 00:40:18,652
Speaker 2: bumped them off. Very satisfying. I'm seventy six, just about

819
00:40:18,653 --> 00:40:21,133
Speaker 2: to submit the manuscript to a publisher. Kathy, Thanks for that,

820
00:40:21,253 --> 00:40:25,652
Speaker 2: well done. Kathy should clarify she's written a book and

821
00:40:25,933 --> 00:40:27,373
Speaker 2: in the plot she's bumped them off.

822
00:40:27,853 --> 00:40:29,973
Speaker 3: Right, Okay, that makes more sense here. So she hasn't

823
00:40:29,973 --> 00:40:32,013
Speaker 3: written the book Comma and bummed them off.

824
00:40:32,053 --> 00:40:34,373
Speaker 2: Yeah, yeah, so they're not two different things. Okay, I've

825
00:40:34,373 --> 00:40:35,893
Speaker 2: written a book to feel better and then I killed

826
00:40:35,973 --> 00:40:38,973
Speaker 2: him and they're just about to submit the manuscript.

827
00:40:39,133 --> 00:40:41,813
Speaker 3: Love to hear the title, Kathy, It's fantastic. Nine two

828
00:40:41,933 --> 00:40:43,373
Speaker 3: ninety two is the text number.

829
00:40:43,613 --> 00:40:45,893
Speaker 2: I started my own business at age sixty one after

830
00:40:45,933 --> 00:40:48,573
Speaker 2: injuring my back nursing two years on. I now have

831
00:40:48,813 --> 00:40:52,453
Speaker 2: five thousand, five hundred followers on Instagram and love my

832
00:40:52,533 --> 00:40:57,493
Speaker 2: new job knitting beautiful Mohir Jumpers, Sisters that knit dot com?

833
00:40:58,253 --> 00:40:59,292
Speaker 3: This is so good.

834
00:41:01,933 --> 00:41:04,293
Speaker 2: Sister's that knit dot com? All right, there you go.

835
00:41:04,853 --> 00:41:10,413
Speaker 2: No here, jumpers, Sisters that knit. Okay, it's so exciting

836
00:41:10,413 --> 00:41:11,093
Speaker 2: for people listening to me.

837
00:41:11,453 --> 00:41:12,853
Speaker 3: Where do we really want to see these jumpers?

838
00:41:12,933 --> 00:41:15,093
Speaker 2: Okay, here we go, Here we go, Here we go,

839
00:41:15,253 --> 00:41:18,533
Speaker 2: Sister's that nit dot com? Well, can someone on tremere

840
00:41:18,613 --> 00:41:21,333
Speaker 2: come in here and fix the z met?

841
00:41:22,173 --> 00:41:24,013
Speaker 3: It's really good when you work in a media here

842
00:41:24,013 --> 00:41:24,613
Speaker 3: with no Wi fi?

843
00:41:24,693 --> 00:41:28,493
Speaker 2: Oh, here we go, bloody lovely that is a very

844
00:41:28,853 --> 00:41:29,973
Speaker 2: comfy looking sweater.

845
00:41:30,053 --> 00:41:32,053
Speaker 3: Oh that's a that's a lovely website as well.

846
00:41:32,213 --> 00:41:35,813
Speaker 2: Sort of pink mo here number there with a sort

847
00:41:35,853 --> 00:41:36,493
Speaker 2: of turtleneck.

848
00:41:36,693 --> 00:41:37,772
Speaker 3: He spoke water.

849
00:41:38,933 --> 00:41:40,813
Speaker 2: I mean, I wouldn't be that because it's it's it's

850
00:41:40,853 --> 00:41:44,933
Speaker 2: a bit a bit feminine for me.

851
00:41:45,813 --> 00:41:48,013
Speaker 3: You're lot good in the Sofia. Actually, I'm just looking

852
00:41:48,053 --> 00:41:48,732
Speaker 3: at the shop now.

853
00:41:48,933 --> 00:41:51,533
Speaker 2: Oh yeah, yeah, there you go. So check out sisters

854
00:41:51,533 --> 00:41:54,293
Speaker 2: that nit dot com love it started that business at

855
00:41:54,373 --> 00:41:55,853
Speaker 2: sixty one bloody good on you.

856
00:41:55,973 --> 00:41:57,693
Speaker 3: Yeah, oh eight one hundred and eighty ten eighty is

857
00:41:57,733 --> 00:42:00,893
Speaker 3: the number to call. Push car. How are you this afternoon?

858
00:42:01,933 --> 00:42:03,533
Speaker 8: Yeah very good. Thanks you gentlemen.

859
00:42:03,533 --> 00:42:06,693
Speaker 3: How are you very good? So tell us your story?

860
00:42:07,253 --> 00:42:11,293
Speaker 8: Yeah, so look, basically, I'm originally from India and I

861
00:42:11,453 --> 00:42:14,333
Speaker 8: came to New Zealand when I was very seven. So

862
00:42:14,413 --> 00:42:16,733
Speaker 8: it's really interesting when I heard that someone wants to

863
00:42:16,773 --> 00:42:19,853
Speaker 8: give up at thirty seven, I came to the country

864
00:42:19,853 --> 00:42:23,093
Speaker 8: with precisely eleven hundred dollars in my pocket and I

865
00:42:23,133 --> 00:42:27,093
Speaker 8: didn't know anybody, absolutely, no one. A typical immigrant story

866
00:42:27,413 --> 00:42:31,413
Speaker 8: where I worked hard, long hours weekends, you know, started

867
00:42:31,453 --> 00:42:35,133
Speaker 8: working in retail stores first, like no living and Harby Norman.

868
00:42:35,693 --> 00:42:39,772
Speaker 8: Then eventually entered into a corporate world. Worked with big

869
00:42:39,813 --> 00:42:43,013
Speaker 8: companies like Yellow Pages, Fairfax Media and a few others,

870
00:42:43,173 --> 00:42:48,652
Speaker 8: and I was very successful. And yeah, and last year

871
00:42:48,733 --> 00:42:50,973
Speaker 8: my daughter got married, so I was in a very

872
00:42:51,773 --> 00:42:55,413
Speaker 8: you know, I pressured sales job for last twenty five years,

873
00:42:55,413 --> 00:42:57,573
Speaker 8: and I was I was a bit tired with those

874
00:42:57,613 --> 00:43:00,493
Speaker 8: with those kind of pressures. So I said to myself,

875
00:43:00,493 --> 00:43:02,973
Speaker 8: I didn't want to retire. I'm sixty two now. I

876
00:43:02,973 --> 00:43:05,533
Speaker 8: didn't want to retire because an empty mind is a

877
00:43:05,573 --> 00:43:09,133
Speaker 8: devil's workshop. So I had the Indus we experience of

878
00:43:09,213 --> 00:43:13,413
Speaker 8: about fifteen years in digital marketing. So yeah, I went

879
00:43:13,453 --> 00:43:15,573
Speaker 8: back to India, I joined hands with a bunch of

880
00:43:15,693 --> 00:43:19,093
Speaker 8: really talented guys and I founded my own company here

881
00:43:19,093 --> 00:43:22,093
Speaker 8: in Auckland and we do the same thing. So we

882
00:43:22,133 --> 00:43:27,613
Speaker 8: do website, search engine optimization, Google ads, social media, branding,

883
00:43:27,933 --> 00:43:30,333
Speaker 8: everything and I'm really happy.

884
00:43:32,213 --> 00:43:35,253
Speaker 2: Has been going for about a year, did you say, yes?

885
00:43:35,413 --> 00:43:37,973
Speaker 8: Yes, about about a year. And I'm sixty two now,

886
00:43:37,973 --> 00:43:39,213
Speaker 8: so and I'm not going to stop.

887
00:43:39,373 --> 00:43:41,453
Speaker 15: Yeah, I'm putting too much pressure.

888
00:43:41,813 --> 00:43:44,053
Speaker 8: That is going extremely well. But I'm not putting too

889
00:43:44,093 --> 00:43:46,693
Speaker 8: much pressure onto myself like the corporate world.

890
00:43:47,333 --> 00:43:51,253
Speaker 2: But so have you managed to make yourself sort of

891
00:43:51,293 --> 00:43:55,413
Speaker 2: financially secure enough that you don't have to worry too much?

892
00:43:56,853 --> 00:44:00,653
Speaker 8: Yes, to be honest, simultaneously, I'd built a small portfolio

893
00:44:00,733 --> 00:44:05,212
Speaker 8: of properties as well for myself, nice which actually helped

894
00:44:05,253 --> 00:44:06,013
Speaker 8: me quite a lot.

895
00:44:06,293 --> 00:44:06,493
Speaker 6: You know.

896
00:44:06,973 --> 00:44:09,813
Speaker 8: So I'm a bit financially secured. But you still need

897
00:44:09,853 --> 00:44:10,813
Speaker 8: disposable income.

898
00:44:11,333 --> 00:44:11,933
Speaker 19: You can't just.

899
00:44:11,893 --> 00:44:14,652
Speaker 8: Say because in New Zealand the inflation is too high

900
00:44:14,733 --> 00:44:18,533
Speaker 8: and retirement is very expensive in this country, so you

901
00:44:18,693 --> 00:44:21,293
Speaker 8: need some kind of income. Obviously I'm not making that

902
00:44:21,413 --> 00:44:23,933
Speaker 8: kind of money which I was making in the corporate.

903
00:44:23,493 --> 00:44:26,373
Speaker 14: World, but I'm happy. Yeah, you know, I was my

904
00:44:26,453 --> 00:44:28,053
Speaker 14: own hours. Yeah.

905
00:44:28,093 --> 00:44:30,533
Speaker 2: So for you, you're thinking here and someone say that it

906
00:44:30,693 --> 00:44:33,373
Speaker 2: was this you guys hastling the guy that was giving

907
00:44:33,413 --> 00:44:35,293
Speaker 2: up a forty one. Easy for you to say, what

908
00:44:35,333 --> 00:44:37,973
Speaker 2: do you say? I'm thirty seven, Not that matters, but

909
00:44:38,133 --> 00:44:41,253
Speaker 2: that that's it for me? Why should I do?

910
00:44:41,493 --> 00:44:41,573
Speaker 4: So?

911
00:44:41,733 --> 00:44:43,453
Speaker 2: You would say to that person you were thirty seven

912
00:44:43,493 --> 00:44:47,733
Speaker 2: when you started the path that you're on, and exactly,

913
00:44:48,293 --> 00:44:51,813
Speaker 2: and you've managed to suit yourself up pretty nicely and

914
00:44:52,053 --> 00:44:55,093
Speaker 2: currently just starting again with something that you're enjoying.

915
00:44:56,493 --> 00:44:59,413
Speaker 8: Absolutely. One last thing I'll tell you before I go,

916
00:44:59,653 --> 00:45:03,853
Speaker 8: is I truly believe in self motivation. Like I'm a

917
00:45:03,893 --> 00:45:06,252
Speaker 8: one man bank business now, I have for it from home.

918
00:45:06,293 --> 00:45:09,293
Speaker 8: I don't have anyone to motivate me. Every morning, I

919
00:45:09,333 --> 00:45:12,173
Speaker 8: pushed myself. You know that's really important.

920
00:45:12,493 --> 00:45:15,493
Speaker 2: Yeah, and so do you think you were naturally a

921
00:45:15,613 --> 00:45:17,853
Speaker 2: motivated person? Because a lot of people are texting through

922
00:45:17,853 --> 00:45:19,853
Speaker 2: and saying I just don't have the motivation and I

923
00:45:19,893 --> 00:45:23,253
Speaker 2: don't know where to find it. You found the motivation

924
00:45:23,573 --> 00:45:27,213
Speaker 2: within you? Or did you search for motivation? Did you

925
00:45:27,413 --> 00:45:29,893
Speaker 2: search for mentors to motivate you? How did you how

926
00:45:30,333 --> 00:45:31,373
Speaker 2: did you motivate yourself?

927
00:45:32,173 --> 00:45:36,093
Speaker 8: No, again, it's a typical immigrant story. I had no choice.

928
00:45:36,253 --> 00:45:38,333
Speaker 8: I couldn't go back to my country. I had to

929
00:45:38,373 --> 00:45:43,253
Speaker 8: motivate myself and be successful. English was my second language.

930
00:45:43,293 --> 00:45:44,733
Speaker 8: I couldn't even speak properly.

931
00:45:45,133 --> 00:45:46,933
Speaker 2: You know how long did that take you? Because you

932
00:45:47,253 --> 00:45:49,413
Speaker 2: speak English obviously very well. Now, how long did it

933
00:45:49,413 --> 00:45:52,813
Speaker 2: take you to your get your mind around the language?

934
00:45:53,653 --> 00:45:56,693
Speaker 8: Well, it wasn't that bad because India was ruled by British,

935
00:45:56,733 --> 00:45:57,893
Speaker 8: so I could speak English.

936
00:45:57,973 --> 00:45:59,093
Speaker 4: Yeah, right, but maybe in.

937
00:45:59,093 --> 00:46:01,973
Speaker 8: Last twenty five years after living with you, guys, I'm

938
00:46:01,973 --> 00:46:04,692
Speaker 8: a bit better. I don't still call myself fluent, but

939
00:46:04,773 --> 00:46:05,413
Speaker 8: I'm a bit better.

940
00:46:05,773 --> 00:46:08,333
Speaker 2: Well, I mean you sound pretty fluent to me. Yeah,

941
00:46:08,093 --> 00:46:12,373
Speaker 2: I mean absolutely no problem understanding you at all. So

942
00:46:12,453 --> 00:46:15,053
Speaker 2: you've now that part of it. Yeah, it is an

943
00:46:15,053 --> 00:46:18,813
Speaker 2: interesting one though, but because you do just yeah, I

944
00:46:18,853 --> 00:46:21,093
Speaker 2: mean that not being able to give up as a

945
00:46:21,173 --> 00:46:22,173
Speaker 2: huge motivation.

946
00:46:22,053 --> 00:46:24,373
Speaker 3: Absolutely, you know, not in you're up against it.

947
00:46:24,533 --> 00:46:28,413
Speaker 2: No choice, I guess. But then again, you've got yourself

948
00:46:28,453 --> 00:46:32,413
Speaker 2: out of that situation over time, pushcar, and you've still

949
00:46:32,453 --> 00:46:34,733
Speaker 2: motivated yourself. So obviously at one point you had no

950
00:46:34,813 --> 00:46:36,652
Speaker 2: choice because you arrived there and you couldn't go back

951
00:46:36,693 --> 00:46:38,172
Speaker 2: and you had to make it work. But then say

952
00:46:38,413 --> 00:46:41,093
Speaker 2: fifteen twenty years after that, you were probably getting a

953
00:46:41,093 --> 00:46:44,173
Speaker 2: bit more choice in your life and you still manage

954
00:46:44,173 --> 00:46:45,373
Speaker 2: to be motivated.

955
00:46:46,493 --> 00:46:49,413
Speaker 8: Yeah. Even in my current role right now, I have

956
00:46:49,493 --> 00:46:51,973
Speaker 8: to self motivate myself because I'm trying to reach out

957
00:46:52,013 --> 00:46:54,853
Speaker 8: to my client. So I do hardcore prospecting. I do

958
00:46:55,013 --> 00:46:58,133
Speaker 8: cold calling, and it's the numbers game. If you make

959
00:46:58,213 --> 00:47:01,652
Speaker 8: twenty calls, one person might be interested, but if that

960
00:47:01,693 --> 00:47:04,133
Speaker 8: turns into a business, you've made your day, you know.

961
00:47:04,213 --> 00:47:06,573
Speaker 8: So it's not an easy job. For me as well,

962
00:47:06,613 --> 00:47:10,172
Speaker 8: because it's our industry is very competitive. Yes, so many

963
00:47:10,213 --> 00:47:11,013
Speaker 8: people are doing.

964
00:47:10,813 --> 00:47:11,413
Speaker 14: The same job.

965
00:47:11,493 --> 00:47:13,733
Speaker 8: So to reach out to new prospects and new clients,

966
00:47:13,893 --> 00:47:17,653
Speaker 8: you need motivations. So yeah, without motivation, you can't be

967
00:47:17,653 --> 00:47:18,493
Speaker 8: successful at all.

968
00:47:18,693 --> 00:47:20,893
Speaker 3: Is there ever a point, Pushcar, because I take it

969
00:47:20,973 --> 00:47:23,973
Speaker 3: just by what you were saying. Sometimes you're feeling stressed there,

970
00:47:24,053 --> 00:47:26,293
Speaker 3: or you might wake up and you think, man, maybe

971
00:47:26,333 --> 00:47:28,853
Speaker 3: I just give this up and just retire. Do you

972
00:47:28,933 --> 00:47:30,733
Speaker 3: ever get that thought in your head? Or you just

973
00:47:30,813 --> 00:47:31,652
Speaker 3: love what you're doing now?

974
00:47:31,653 --> 00:47:36,253
Speaker 2: No, the devil's worship, as he said, the devil's workshop, Tyler.

975
00:47:38,373 --> 00:47:41,213
Speaker 3: Yeah, that's right, walking not's a walking pushcar. You you

976
00:47:41,253 --> 00:47:43,333
Speaker 3: could height New Zealand, you could do so many things.

977
00:47:44,893 --> 00:47:45,853
Speaker 18: Yes, you're right.

978
00:47:45,893 --> 00:47:47,893
Speaker 8: Well, I love New Zealand. I love the people. I

979
00:47:47,933 --> 00:47:50,053
Speaker 8: love the country. This country has given me a lot.

980
00:47:50,093 --> 00:47:51,693
Speaker 8: So thank you so much to all the ks.

981
00:47:51,773 --> 00:47:54,573
Speaker 3: Hey, that's all right, push Gar, thank you for your call. Yeah,

982
00:47:54,613 --> 00:47:56,933
Speaker 3: what a great call. What a good man. Self motivation,

983
00:47:57,053 --> 00:47:59,093
Speaker 3: I mean that is Look, that is difficult for a

984
00:47:59,133 --> 00:47:59,653
Speaker 3: lot of people.

985
00:47:59,933 --> 00:48:02,213
Speaker 2: Yeah, Tyler's running a devil's workshop over there in that

986
00:48:02,253 --> 00:48:06,373
Speaker 2: empty mind piece, that's for sure. This Tixer says, okay,

987
00:48:06,413 --> 00:48:10,213
Speaker 2: i'll iffing bite. Okay, all very well to say all

988
00:48:10,253 --> 00:48:14,013
Speaker 2: this pull yourself up by bootstraps rubbish. We don't all

989
00:48:14,053 --> 00:48:16,293
Speaker 2: have ideas. I lost my job, I can't get another.

990
00:48:16,373 --> 00:48:18,253
Speaker 2: I have no ideas on how to start a business.

991
00:48:18,333 --> 00:48:20,533
Speaker 2: I am on a benefit That's not where I want

992
00:48:20,533 --> 00:48:22,692
Speaker 2: to be. But what the hell that's where I am.

993
00:48:22,773 --> 00:48:24,373
Speaker 2: You can't just tell me to do something?

994
00:48:24,453 --> 00:48:24,773
Speaker 22: Do what?

995
00:48:25,213 --> 00:48:29,172
Speaker 2: Go where? What business? Idea? I have nothing? Drinking at

996
00:48:29,213 --> 00:48:31,893
Speaker 2: least stops me hating myself for a while. You guys

997
00:48:31,893 --> 00:48:34,613
Speaker 2: are so judgmental. Easy for people born with ideas and

998
00:48:34,733 --> 00:48:39,333
Speaker 2: motivation to be successful. I don't have those. That's a yeah.

999
00:48:39,413 --> 00:48:42,133
Speaker 3: I mean we can give them some ideas. I mean,

1000
00:48:42,253 --> 00:48:43,773
Speaker 3: I don't want to say bubble heads, because Tony, you

1001
00:48:43,773 --> 00:48:45,813
Speaker 3: already had that idea. But that's one example. You know,

1002
00:48:45,853 --> 00:48:47,493
Speaker 3: there's a lot of things out there people need. But

1003
00:48:47,533 --> 00:48:50,893
Speaker 3: you can see what he's saying. Some people don't have

1004
00:48:51,013 --> 00:48:53,453
Speaker 3: ideas and don't have motivation. Where do you find the

1005
00:48:53,533 --> 00:48:57,453
Speaker 3: ideas and the motivation to start again? If you don't, Yeah,

1006
00:48:57,573 --> 00:48:58,413
Speaker 3: can AI help?

1007
00:48:59,333 --> 00:49:02,453
Speaker 2: Hey? I might well be able to help, But but yeah,

1008
00:49:02,453 --> 00:49:04,373
Speaker 2: I mean people might someone out there might be helping.

1009
00:49:04,493 --> 00:49:07,652
Speaker 2: One hundred and eighteen eighty. Where do you find motivation? Yep, great, Quinn,

1010
00:49:07,693 --> 00:49:11,133
Speaker 2: So where do you ideas? You know, if we're telling

1011
00:49:11,173 --> 00:49:13,013
Speaker 2: people to start again and keep going and not to

1012
00:49:13,053 --> 00:49:15,773
Speaker 2: give up in their late thirties, forties, fifties, where do

1013
00:49:15,773 --> 00:49:16,493
Speaker 2: they get the ideas?

1014
00:49:16,533 --> 00:49:18,333
Speaker 3: Oh eight hundred and eighty ten eighty is the number

1015
00:49:18,333 --> 00:49:19,973
Speaker 3: to call. It is sixteen past two.

1016
00:49:20,573 --> 00:49:25,053
Speaker 1: Wow your home of Afternoon Talk Matt Heathen, Taylor Adams

1017
00:49:25,213 --> 00:49:29,173
Speaker 1: afternoons call. Oh eight hundred eighty ten eighty News Talk said, be.

1018
00:49:30,853 --> 00:49:32,973
Speaker 3: Very good afternoon to you. We I have been talking

1019
00:49:33,013 --> 00:49:36,173
Speaker 3: about doing something different later in life, even if you

1020
00:49:36,213 --> 00:49:38,212
Speaker 3: haven't had success. We've had a lot of people saying

1021
00:49:38,253 --> 00:49:40,773
Speaker 3: that they had to change in circumstances and they've tried

1022
00:49:40,813 --> 00:49:42,693
Speaker 3: something completely different and absolutely loved it.

1023
00:49:42,733 --> 00:49:42,813
Speaker 20: Oh.

1024
00:49:42,813 --> 00:49:44,373
Speaker 3: W eight hundred eighty ten eighty is the number to call.

1025
00:49:44,493 --> 00:49:46,853
Speaker 2: Travis is answering that text that I just read of

1026
00:49:46,853 --> 00:49:49,933
Speaker 2: it before biting man obviously has means to text you. Yes,

1027
00:49:50,053 --> 00:49:53,653
Speaker 2: AI can help. There are jobs out there, hustle for

1028
00:49:53,853 --> 00:49:56,573
Speaker 2: if sake, Wins will pay for you to get a

1029
00:49:56,693 --> 00:49:59,453
Speaker 2: truck license. Go get one. Yeah, I mean there are

1030
00:49:59,493 --> 00:50:03,093
Speaker 2: people so you know, he's responding to that text around

1031
00:50:03,893 --> 00:50:07,293
Speaker 2: how do I start? And I think a good place

1032
00:50:07,333 --> 00:50:09,813
Speaker 2: to start is to reach out to people because there

1033
00:50:09,813 --> 00:50:12,813
Speaker 2: are there are I think if you went into Wins

1034
00:50:13,213 --> 00:50:17,093
Speaker 2: and you said, I am really I want to do something?

1035
00:50:17,173 --> 00:50:20,013
Speaker 2: So what is what's he saying here? I have no

1036
00:50:20,173 --> 00:50:22,173
Speaker 2: ideas on how to start a business. I'm on a

1037
00:50:22,173 --> 00:50:24,093
Speaker 2: benefit that's not where I want to be. But what

1038
00:50:24,173 --> 00:50:25,973
Speaker 2: the hell? You can't just tell me to do something?

1039
00:50:26,013 --> 00:50:26,613
Speaker 7: Do what? Go?

1040
00:50:26,653 --> 00:50:30,373
Speaker 2: Where? What business idea? I have nothing? I think if

1041
00:50:30,413 --> 00:50:33,573
Speaker 2: you if you just there are people that are there

1042
00:50:33,613 --> 00:50:36,573
Speaker 2: to help, if you've just got to, you know, reach out.

1043
00:50:36,853 --> 00:50:39,653
Speaker 2: I think if you went into Wins and you whatever

1044
00:50:39,693 --> 00:50:42,653
Speaker 2: it's called now and say, you know, I want to

1045
00:50:42,693 --> 00:50:45,693
Speaker 2: do something, I want help, then then there are people

1046
00:50:45,733 --> 00:50:47,853
Speaker 2: that would be very happy if they would like, look,

1047
00:50:47,853 --> 00:50:50,093
Speaker 2: there's someone that wants help. You know. That's why I'm here.

1048
00:50:50,333 --> 00:50:51,173
Speaker 2: I'm going to try and help you.

1049
00:50:51,253 --> 00:50:53,773
Speaker 3: Mate, even mentors outside of that, right that. If you

1050
00:50:53,813 --> 00:50:56,732
Speaker 3: there's people that you admire, just reach out to them.

1051
00:50:56,773 --> 00:50:58,573
Speaker 3: Not everyone will get back to you, but some do

1052
00:50:58,693 --> 00:51:01,773
Speaker 3: because people love to give advice and what's worked for them.

1053
00:51:01,933 --> 00:51:03,812
Speaker 2: Yeah, John, welcome to the show.

1054
00:51:05,053 --> 00:51:09,093
Speaker 7: Yeah, good Hey, guys, I had a bit of a

1055
00:51:09,133 --> 00:51:13,853
Speaker 7: bad time, you know, late in life and lost my job.

1056
00:51:14,013 --> 00:51:16,853
Speaker 7: But I got a new job in a different sort

1057
00:51:16,893 --> 00:51:24,373
Speaker 7: of indurist industry at sixty years of age. And you know,

1058
00:51:24,533 --> 00:51:28,053
Speaker 7: six years later, I'm still with the same company. And

1059
00:51:28,893 --> 00:51:31,253
Speaker 7: you know, getting to my age, you've got a bit

1060
00:51:31,293 --> 00:51:34,853
Speaker 7: of gray here, and that means that you know a

1061
00:51:34,893 --> 00:51:38,693
Speaker 7: lot of people. And a guy walked in after about

1062
00:51:38,693 --> 00:51:43,093
Speaker 7: two weeks and he goes you and I met twenty

1063
00:51:43,173 --> 00:51:46,172
Speaker 7: years ago in frongra, Remember I said, yeah, I do.

1064
00:51:46,413 --> 00:51:49,653
Speaker 7: And so you know, it goes a bit of experience

1065
00:51:49,693 --> 00:51:53,013
Speaker 7: goes a long way. And the guy that owns this business,

1066
00:51:53,013 --> 00:51:56,053
Speaker 7: he's given me a chance and I've grabbed it with

1067
00:51:56,093 --> 00:51:57,853
Speaker 7: both hands. So I'm pretty happy.

1068
00:51:58,253 --> 00:52:01,533
Speaker 2: So was it a totally different area than you had

1069
00:52:01,533 --> 00:52:02,053
Speaker 2: been working on?

1070
00:52:02,413 --> 00:52:06,053
Speaker 7: So it was in the in the building industry. But

1071
00:52:07,413 --> 00:52:11,773
Speaker 7: this product I knew nothing about, yep, And and it's paint.

1072
00:52:12,093 --> 00:52:15,013
Speaker 7: It's paint. I don't know dyll is quite about paint.

1073
00:52:15,053 --> 00:52:19,613
Speaker 7: I do now, you know, And you know, God gave

1074
00:52:19,653 --> 00:52:22,693
Speaker 7: me a chance, and you know he still owns a business.

1075
00:52:22,773 --> 00:52:25,933
Speaker 7: And yeah, as I said, six years later, were you

1076
00:52:25,973 --> 00:52:27,333
Speaker 7: know in terms are going pretty well?

1077
00:52:28,173 --> 00:52:30,853
Speaker 2: And so I miss the start of it. So sorry, John.

1078
00:52:30,933 --> 00:52:33,413
Speaker 2: So you you'd lost your previous job, and so you

1079
00:52:33,453 --> 00:52:35,773
Speaker 2: were you were searching around for a new one, and

1080
00:52:35,773 --> 00:52:38,573
Speaker 2: and was that was that? You know, how long were

1081
00:52:38,613 --> 00:52:41,373
Speaker 2: you searching around? And what were you feeling like at

1082
00:52:41,373 --> 00:52:44,373
Speaker 2: that that time, being sixteen and in needing work.

1083
00:52:45,413 --> 00:52:48,613
Speaker 7: Well, you know, I actually ended up working at Eden

1084
00:52:48,693 --> 00:52:55,493
Speaker 7: Park and Stadium two years. Yeah, and my son, you know,

1085
00:52:55,573 --> 00:52:58,652
Speaker 7: he said, I take talk to my son and he says, oh, Dad,

1086
00:52:59,213 --> 00:53:01,173
Speaker 7: you know how much petrol does it cost to coming

1087
00:53:02,013 --> 00:53:04,173
Speaker 7: come and get me? And I said, oh, you know,

1088
00:53:04,213 --> 00:53:06,613
Speaker 7: I've got twenty bucks and he says, our payer petrol.

1089
00:53:07,253 --> 00:53:09,172
Speaker 7: And I said, na, na, na. And I said, look here,

1090
00:53:09,253 --> 00:53:11,333
Speaker 7: look at this on my phone. If I go there tomorrow,

1091
00:53:11,853 --> 00:53:14,772
Speaker 7: I'm going to be working at Eden Park. I said,

1092
00:53:14,773 --> 00:53:17,333
Speaker 7: but it's you know, it's Monday to Friday, and then

1093
00:53:17,373 --> 00:53:19,293
Speaker 7: I have to be there on a Friday night or

1094
00:53:19,373 --> 00:53:23,172
Speaker 7: Saturday night or Sunday whenever the Blues are playing, you know.

1095
00:53:23,533 --> 00:53:27,093
Speaker 7: And he goes, you're going to get paid to watch

1096
00:53:27,133 --> 00:53:31,692
Speaker 7: the Blues, dad, And he goes, that's a pretty good

1097
00:53:31,773 --> 00:53:35,652
Speaker 7: job there, yes, So you know, so it's all, you know,

1098
00:53:35,973 --> 00:53:39,613
Speaker 7: all things lead to leads somewhere. Yeah, and you know,

1099
00:53:40,613 --> 00:53:43,493
Speaker 7: and you know, and you know, just one of those things.

1100
00:53:43,613 --> 00:53:46,213
Speaker 7: Just keep on going, you know, and if you want to,

1101
00:53:46,893 --> 00:53:49,333
Speaker 7: I mean you can probably work it out. What sort

1102
00:53:49,373 --> 00:53:54,413
Speaker 7: of card I've got now after six, you know, at

1103
00:53:54,453 --> 00:54:00,453
Speaker 7: sixty six years of age? Yeah, yeah, and that one, Yeah,

1104
00:54:00,533 --> 00:54:03,693
Speaker 7: it's a good card. And you know, you know, like

1105
00:54:03,813 --> 00:54:07,212
Speaker 7: they got the Indian chap On before. I mean, he's

1106
00:54:07,213 --> 00:54:09,773
Speaker 7: got to. He's got a good add that guy. And

1107
00:54:09,773 --> 00:54:13,253
Speaker 7: then you know, so just keep on going if you

1108
00:54:13,333 --> 00:54:14,813
Speaker 7: want to, And that's what I'm doing.

1109
00:54:15,373 --> 00:54:18,253
Speaker 3: Good on you, John, another great attitude. Absolutely love it.

1110
00:54:18,493 --> 00:54:21,893
Speaker 3: Oh eight hundred eighty ten eighty C number call Okay,

1111
00:54:21,973 --> 00:54:22,732
Speaker 3: I'll bite back.

1112
00:54:22,773 --> 00:54:25,333
Speaker 2: Guy. Firstly, stop drinking. It's costing you money and it

1113
00:54:25,373 --> 00:54:28,253
Speaker 2: won't be helping your brain work well, sleep well, or

1114
00:54:28,253 --> 00:54:31,933
Speaker 2: get any motivation. Call a counselor or Gunboot Friday or

1115
00:54:31,933 --> 00:54:34,373
Speaker 2: someone hating yourself as a waste of time. Everyone can

1116
00:54:34,413 --> 00:54:36,692
Speaker 2: do something. If you're on a benefit, you have time.

1117
00:54:36,733 --> 00:54:39,333
Speaker 2: Most people don't have time. What did you use to

1118
00:54:39,413 --> 00:54:41,893
Speaker 2: do for work? What do you want to do? Go

1119
00:54:41,933 --> 00:54:43,893
Speaker 2: and volunteer at a business that you like to be

1120
00:54:43,933 --> 00:54:44,413
Speaker 2: involved in.

1121
00:54:44,693 --> 00:54:47,813
Speaker 3: Yeah, yep, all good advice there. Absolutely right. We're going

1122
00:54:47,853 --> 00:54:49,933
Speaker 3: to play some messages, but we've got plenty of calls

1123
00:54:49,973 --> 00:54:51,333
Speaker 3: to get to, but love to hear from you. Oh

1124
00:54:51,373 --> 00:54:53,333
Speaker 3: eight hundred eighty ten eighties the number to call. Twenty

1125
00:54:53,333 --> 00:54:53,933
Speaker 3: four past.

1126
00:54:53,773 --> 00:54:59,453
Speaker 4: Two matd Heathen, Tyler Adams.

1127
00:54:59,493 --> 00:55:02,732
Speaker 1: Afternoons call Oh eight hundred eighty ten eighty on Youth

1128
00:55:02,813 --> 00:55:03,373
Speaker 1: Talk ZB.

1129
00:55:03,893 --> 00:55:06,373
Speaker 3: Very good afternoon to you. It is twenty six past too.

1130
00:55:06,373 --> 00:55:08,853
Speaker 3: Getting some great techs coming through on people who did

1131
00:55:08,893 --> 00:55:12,133
Speaker 3: something different later in life and have had different measures

1132
00:55:12,133 --> 00:55:14,813
Speaker 3: of success. Oh eight hundred eighty ten eighty is the

1133
00:55:14,893 --> 00:55:15,732
Speaker 3: number to call as well.

1134
00:55:15,813 --> 00:55:18,173
Speaker 2: Success at a late age is Tom out of the Office.

1135
00:55:18,213 --> 00:55:20,773
Speaker 2: He launched his Jump to Conclusions board well into his

1136
00:55:20,853 --> 00:55:23,933
Speaker 2: sixties after a failed attempt on his life in a

1137
00:55:23,973 --> 00:55:26,413
Speaker 2: horrific car accident. James, that is one of the greatest

1138
00:55:26,413 --> 00:55:30,213
Speaker 2: movies of all time off of space, and didn't he That's.

1139
00:55:30,093 --> 00:55:32,053
Speaker 3: Right, he creates it at the end, didn't he?

1140
00:55:32,133 --> 00:55:35,053
Speaker 2: Well, I think he created Jump Jump to Conclusions one

1141
00:55:35,093 --> 00:55:37,413
Speaker 2: of the greatest scenes when every from the officer that

1142
00:55:37,533 --> 00:55:41,013
Speaker 2: is a horrible, horrible idea. That is a terrible idea.

1143
00:55:41,893 --> 00:55:43,453
Speaker 2: But yeah, he got hit by a van, so all

1144
00:55:43,493 --> 00:55:45,653
Speaker 2: his dreams came true because he managed to sue someone.

1145
00:55:45,893 --> 00:55:50,373
Speaker 2: That's right, got Off of Space. Such a fantastic movie,

1146
00:55:50,533 --> 00:55:54,613
Speaker 2: Ron Livingston, Jennifer Aniston, directed by Mike Judge. It's just

1147
00:55:54,693 --> 00:55:58,493
Speaker 2: if you have never watched Off of Space, just find

1148
00:55:58,493 --> 00:56:00,172
Speaker 2: it wherever you can. I find out where it's on

1149
00:56:00,373 --> 00:56:02,573
Speaker 2: and where you can watch it because it's so good.

1150
00:56:02,653 --> 00:56:05,693
Speaker 3: Yeah, very very funny. Eight hundred and eighty ten eighty

1151
00:56:05,813 --> 00:56:09,093
Speaker 3: is the number to call. Mark you had a job

1152
00:56:09,213 --> 00:56:10,173
Speaker 3: change at fifty.

1153
00:56:11,133 --> 00:56:13,853
Speaker 13: Yeah, I had a major job change at fifty. I've

1154
00:56:13,853 --> 00:56:17,333
Speaker 13: been a truck drive most of my life, and at

1155
00:56:17,373 --> 00:56:21,213
Speaker 13: fifty years old, I changed to a community caregiverer wow

1156
00:56:21,373 --> 00:56:25,212
Speaker 13: looking after elderly people in their homes. And I did

1157
00:56:25,253 --> 00:56:29,333
Speaker 13: an the NCAA Level three National Certificated Caering for the elderly.

1158
00:56:30,213 --> 00:56:33,013
Speaker 13: And I've now been doing this job twenty years and

1159
00:56:33,093 --> 00:56:34,173
Speaker 13: I don't want to retire.

1160
00:56:34,933 --> 00:56:39,413
Speaker 2: Buddy good on you, And it's a fantastic job. And

1161
00:56:39,453 --> 00:56:42,293
Speaker 2: so what motivated you to you know, So for people

1162
00:56:42,333 --> 00:56:45,453
Speaker 2: that are looking to change, how did you find that job?

1163
00:56:45,493 --> 00:56:47,652
Speaker 2: How did you think about that? How did it come

1164
00:56:47,653 --> 00:56:49,172
Speaker 2: into your sphere? Twenty years ago?

1165
00:56:50,053 --> 00:56:53,413
Speaker 13: So it came about I lost both my parents within

1166
00:56:53,693 --> 00:56:57,053
Speaker 13: months of each other and I really didn't see the

1167
00:56:57,093 --> 00:56:59,413
Speaker 13: point of living much longer. And I was going to

1168
00:57:00,453 --> 00:57:03,893
Speaker 13: counseling and the councilor just said to me, you know,

1169
00:57:04,173 --> 00:57:07,973
Speaker 13: what would you like to do for a job. And

1170
00:57:08,493 --> 00:57:10,733
Speaker 13: there was two jobs I would really love to do

1171
00:57:10,813 --> 00:57:14,453
Speaker 13: in my life. One was looking after handicapped children or

1172
00:57:14,533 --> 00:57:18,373
Speaker 13: looking after elderly people. And I got the job looking

1173
00:57:18,373 --> 00:57:19,413
Speaker 13: after elderly people.

1174
00:57:19,893 --> 00:57:23,613
Speaker 2: Oh bloody good on you, Mark. That's fantastic. And it's

1175
00:57:23,653 --> 00:57:26,213
Speaker 2: been a challenging career, or is it it is?

1176
00:57:26,533 --> 00:57:26,893
Speaker 18: It is?

1177
00:57:26,933 --> 00:57:30,493
Speaker 13: But the one great thing about this job is every

1178
00:57:30,573 --> 00:57:33,693
Speaker 13: client is like a book in a library. They've all

1179
00:57:33,733 --> 00:57:36,933
Speaker 13: been on different journeys. They've all got a different story

1180
00:57:36,973 --> 00:57:40,373
Speaker 13: to tell, and that's the amazing thing about these people.

1181
00:57:40,973 --> 00:57:42,173
Speaker 7: And that's the part of.

1182
00:57:42,173 --> 00:57:43,573
Speaker 13: The job I love so much.

1183
00:57:44,253 --> 00:57:47,573
Speaker 3: Yeah, that is a great attitude, Mark. And so you're

1184
00:57:47,613 --> 00:57:49,733
Speaker 3: not going to retire anytime soon. You're just going to

1185
00:57:49,773 --> 00:57:51,453
Speaker 3: keep going until you can't do it anymore.

1186
00:57:52,333 --> 00:57:54,493
Speaker 13: I think eighty I might retire.

1187
00:57:55,213 --> 00:57:58,053
Speaker 2: So you know, once you get into your eighties, you'll

1188
00:57:58,093 --> 00:58:00,053
Speaker 2: be an elderly person looking after elderly people.

1189
00:58:00,653 --> 00:58:04,413
Speaker 3: Oh no, no problem, you're a good man, Mark.

1190
00:58:04,053 --> 00:58:11,133
Speaker 2: You Mark, And congratulations. This business is absolute bollocks from you, Matt.

1191
00:58:11,493 --> 00:58:14,413
Speaker 2: The Ministry of Social Development does not help, It does

1192
00:58:14,453 --> 00:58:17,213
Speaker 2: not care. In fact, they deliberately obstructive. I think they

1193
00:58:17,253 --> 00:58:20,533
Speaker 2: get off on screwing people and seeing people upset. I've

1194
00:58:20,573 --> 00:58:23,133
Speaker 2: seen them mess with people and watch these poor people

1195
00:58:23,173 --> 00:58:27,013
Speaker 2: walk out the door upset with no useful assistance. Ministry

1196
00:58:27,053 --> 00:58:29,813
Speaker 2: of Social Development is part of the hopeless people feel.

1197
00:58:29,853 --> 00:58:32,293
Speaker 2: Too many people in New Zealand without a voice. I always

1198
00:58:32,293 --> 00:58:36,293
Speaker 2: understand why text means nothing to anyone. That's really sad

1199
00:58:36,333 --> 00:58:36,933
Speaker 2: if you think that.

1200
00:58:37,213 --> 00:58:37,973
Speaker 4: But I.

1201
00:58:39,653 --> 00:58:42,373
Speaker 2: Mean, is that just one person you're coming across at

1202
00:58:42,493 --> 00:58:45,413
Speaker 2: the Ministry of Social Development? Because I imagine, I mean,

1203
00:58:45,493 --> 00:58:48,013
Speaker 2: isn't that their whole job. Isn't there their whole job

1204
00:58:48,093 --> 00:58:49,973
Speaker 2: to help people and get.

1205
00:58:49,853 --> 00:58:51,933
Speaker 3: People back into employment of training or and.

1206
00:58:51,893 --> 00:58:53,573
Speaker 2: Look, I don't know, I'm speaking out of turn here.

1207
00:58:54,013 --> 00:58:56,773
Speaker 2: Never worked in the Ministry of Social Development. I've never

1208
00:58:56,813 --> 00:59:00,053
Speaker 2: had a benefit in my life. But imagine there are

1209
00:59:00,053 --> 00:59:02,453
Speaker 2: people there that they would that would make their day

1210
00:59:02,493 --> 00:59:05,133
Speaker 2: if someone came in and said, look, I'm really motivated,

1211
00:59:06,453 --> 00:59:08,013
Speaker 2: I want to find something. What have you got? What

1212
00:59:08,093 --> 00:59:10,173
Speaker 2: pro If you've got, what can I take? And just

1213
00:59:10,253 --> 00:59:13,413
Speaker 2: keep coming back and every time they could to try

1214
00:59:13,413 --> 00:59:16,093
Speaker 2: and you know, get the most they can out of

1215
00:59:16,093 --> 00:59:16,533
Speaker 2: the system.

1216
00:59:16,613 --> 00:59:20,293
Speaker 3: Yeah, but am I wrong? Let us know one hundred

1217
00:59:20,333 --> 00:59:22,453
Speaker 3: eighty ten eighty or Center tex nine two nine two

1218
00:59:23,013 --> 00:59:25,653
Speaker 3: headlines with Windy is coming up. Then we're going to

1219
00:59:25,653 --> 00:59:27,293
Speaker 3: take more of your cause if you want to jump

1220
00:59:27,293 --> 00:59:28,533
Speaker 3: in O eight one hundred and eighteen.

1221
00:59:28,333 --> 00:59:31,293
Speaker 2: Eighty and as brentis, Texas Off of Space one of

1222
00:59:31,333 --> 00:59:33,333
Speaker 2: the greatest movies ever made in my opinion. It's on

1223
00:59:33,573 --> 00:59:35,733
Speaker 2: Disney Plus. It's part of the subs.

1224
00:59:35,533 --> 00:59:38,093
Speaker 3: Lover watching this weekend. It is twenty ninety three.

1225
00:59:40,333 --> 00:59:43,613
Speaker 17: News Talk said the headlines with blue bubble taxis it's

1226
00:59:43,613 --> 00:59:46,973
Speaker 17: no trouble with a blue bubble. The Salvation Army says

1227
00:59:46,973 --> 00:59:51,053
Speaker 17: it's social services are running at capacity as unemployment rises,

1228
00:59:51,373 --> 00:59:54,173
Speaker 17: revealed yesterday to have reached a five year high of

1229
00:59:54,413 --> 00:59:57,613
Speaker 17: five point two percent. The Prime Minister says he's open

1230
00:59:57,693 --> 00:59:59,893
Speaker 17: to looking at the corporate tax rate in future to

1231
00:59:59,973 --> 01:00:03,293
Speaker 17: woo investors to New Zealand, but it's not affordable right now.

1232
01:00:03,813 --> 01:00:07,213
Speaker 17: A man's being medically assessed after being tasered and arrested

1233
01:00:07,213 --> 01:00:10,973
Speaker 17: at Palmerston Massterton police station. The station went into a

1234
01:00:11,013 --> 01:00:14,093
Speaker 17: brief lockdown after a man threatened a front desk staffer

1235
01:00:14,173 --> 01:00:18,453
Speaker 17: with a knife just before midday. The Environmental Protection Authority

1236
01:00:18,533 --> 01:00:22,533
Speaker 17: is taking consultation on banning a weed killer clawthal dimethyl,

1237
01:00:22,893 --> 01:00:27,573
Speaker 17: which harms fetal development into Ireland. Artiti's final sailing date

1238
01:00:27,613 --> 01:00:30,253
Speaker 17: across the Cook Strait will be within a fortnight today

1239
01:00:30,293 --> 01:00:34,613
Speaker 17: announced for August eighteen. Meanwhile, Kayarahi is about to return

1240
01:00:34,653 --> 01:00:37,093
Speaker 17: to service with a fresh leg of paint applied in

1241
01:00:37,133 --> 01:00:41,213
Speaker 17: a Singapore dry dock. NASA's fast tracking plans to install

1242
01:00:41,213 --> 01:00:43,733
Speaker 17: a nuclear reactor to the Moon to power a base

1243
01:00:43,773 --> 01:00:47,573
Speaker 17: where astronauts would train and prepare for long term space voyages.

1244
01:00:48,093 --> 01:00:52,013
Speaker 17: Plus property developer accused of transferring cash between failing companies

1245
01:00:52,253 --> 01:00:55,053
Speaker 17: while owing millions to the inland revenue. Read more at

1246
01:00:55,133 --> 01:00:58,013
Speaker 17: enzt Herald Premium. Now back to Matt and Tyler.

1247
01:00:58,973 --> 01:01:02,253
Speaker 3: Thank you very much. Wendy and we have been chatting

1248
01:01:02,373 --> 01:01:05,053
Speaker 3: about having a crack at something different later in life.

1249
01:01:05,093 --> 01:01:07,573
Speaker 2: What was the course that Marray's just using. What was

1250
01:01:07,613 --> 01:01:11,293
Speaker 2: the course there at? What was that caller's name again?

1251
01:01:11,333 --> 01:01:15,053
Speaker 3: Oh, the previous caller Mark Mark, Yeah, so he did

1252
01:01:15,093 --> 01:01:16,853
Speaker 3: he was looking after the elderly. But the course he

1253
01:01:16,893 --> 01:01:21,653
Speaker 3: did was NCEEA Level three National Certificate Caring for the Elderly. Yeah,

1254
01:01:21,693 --> 01:01:22,973
Speaker 3: so if you look that up you'll find it.

1255
01:01:23,213 --> 01:01:24,933
Speaker 2: This textas said, I'm sure there are negative people that

1256
01:01:25,013 --> 01:01:27,773
Speaker 2: wins that like to be unhelpful, but that would be

1257
01:01:27,813 --> 01:01:30,533
Speaker 2: the minority. If you go to them with a positive attitude,

1258
01:01:30,573 --> 01:01:32,453
Speaker 2: they can be very helpful. I know this from personal

1259
01:01:32,493 --> 01:01:34,853
Speaker 2: experience and from others. Yeah, we're just a textas saying

1260
01:01:34,893 --> 01:01:40,493
Speaker 2: that wins were terrible to them and took pleasure and

1261
01:01:40,573 --> 01:01:43,173
Speaker 2: you failing. But you know, if you just go to

1262
01:01:43,173 --> 01:01:45,013
Speaker 2: the workman in some site, where have they got here?

1263
01:01:45,053 --> 01:01:47,453
Speaker 2: Get ready to work courses everything you need to help

1264
01:01:47,493 --> 01:01:49,453
Speaker 2: you get ready to find a job. You can get training,

1265
01:01:49,493 --> 01:01:51,693
Speaker 2: help with cvs and cover leaders, and advice for job

1266
01:01:51,693 --> 01:01:55,253
Speaker 2: interviews getting ready to work, or there's cvs and cover letterers,

1267
01:01:55,373 --> 01:01:58,813
Speaker 2: job interviews, feeling anxious about work, training, study and qualifications.

1268
01:01:59,533 --> 01:02:02,773
Speaker 2: So it seems like there's quite a lot of courses

1269
01:02:02,813 --> 01:02:05,093
Speaker 2: there that you can do. Yeah, you know, and I

1270
01:02:05,093 --> 01:02:08,293
Speaker 2: imagine just I guess, can you try another case work?

1271
01:02:08,493 --> 01:02:10,733
Speaker 3: Definitely if you get a roadblock, try somebody else. Take

1272
01:02:10,733 --> 01:02:11,133
Speaker 3: it higher.

1273
01:02:11,493 --> 01:02:13,853
Speaker 2: If if someone, as that text has said, that is

1274
01:02:14,013 --> 01:02:19,533
Speaker 2: enjoying your failure. The sticks here Minister of Social Liveent

1275
01:02:19,613 --> 01:02:22,853
Speaker 2: does not help. In fact, they are deliberately obstructive. I

1276
01:02:22,893 --> 01:02:25,293
Speaker 2: think they get off on screwing people. I mean, if

1277
01:02:25,293 --> 01:02:27,533
Speaker 2: you come across someone like that, then they go above

1278
01:02:27,573 --> 01:02:27,893
Speaker 2: their head.

1279
01:02:27,973 --> 01:02:31,893
Speaker 3: Yeah, those people in their MESD that's for sure. Yeah, Craig,

1280
01:02:31,933 --> 01:02:32,413
Speaker 3: how are you?

1281
01:02:33,693 --> 01:02:33,813
Speaker 2: I go?

1282
01:02:33,973 --> 01:02:37,573
Speaker 12: This is good, really good topic. I think if you're

1283
01:02:37,573 --> 01:02:41,813
Speaker 12: in your teen's, twenties to early thirties, you definitely have

1284
01:02:41,933 --> 01:02:43,693
Speaker 12: to love what you're doing. You've got to try and

1285
01:02:43,733 --> 01:02:46,213
Speaker 12: make an income out of what you love. But I

1286
01:02:46,253 --> 01:02:49,093
Speaker 12: think if you haven't cracked, but you've got to, then

1287
01:02:49,293 --> 01:02:52,933
Speaker 12: do what you have to do. I was thirty seven,

1288
01:02:54,093 --> 01:02:57,453
Speaker 12: I'd had about thirty five different jobs, dropped out of

1289
01:02:57,493 --> 01:03:04,093
Speaker 12: school fifteen because I was just not academic. And I

1290
01:03:04,453 --> 01:03:07,093
Speaker 12: sat down one day and I wrote, what do I

1291
01:03:07,253 --> 01:03:11,773
Speaker 12: need to make to live to pay the rent, to

1292
01:03:11,853 --> 01:03:14,853
Speaker 12: pay the bills and petrol, food, that kind of thing.

1293
01:03:15,413 --> 01:03:18,013
Speaker 12: And I broke it down to a week to a

1294
01:03:18,093 --> 01:03:22,413
Speaker 12: day to an hour, and I said, right, well, I'm

1295
01:03:22,453 --> 01:03:25,173
Speaker 12: going to go self employed and I'm going to make

1296
01:03:25,213 --> 01:03:29,973
Speaker 12: sure I earned that much every day. And then I

1297
01:03:30,053 --> 01:03:33,133
Speaker 12: worked out what I could do is self employed to

1298
01:03:33,173 --> 01:03:36,853
Speaker 12: earn that money, and is it what I want to do. No,

1299
01:03:37,013 --> 01:03:39,893
Speaker 12: it's not what I've been doing about eighteen years, and

1300
01:03:40,133 --> 01:03:43,573
Speaker 12: every year my goals have gotten bigger and bigger, and

1301
01:03:43,933 --> 01:03:46,213
Speaker 12: I don't like what I do, but I love what

1302
01:03:46,293 --> 01:03:48,773
Speaker 12: I That's what I do enables me to do the

1303
01:03:48,853 --> 01:03:51,773
Speaker 12: things I love. That makes sense.

1304
01:03:51,813 --> 01:03:55,933
Speaker 3: It does make sense absolutely. And so you've managed to

1305
01:03:56,093 --> 01:03:58,373
Speaker 3: now employ others, so it seems to be going pretty

1306
01:03:58,373 --> 01:03:58,973
Speaker 3: wealth you great.

1307
01:03:59,853 --> 01:04:02,133
Speaker 12: Yeah, Hey, we've had to scale back the last couple

1308
01:04:02,133 --> 01:04:05,533
Speaker 12: of years, like a lot of companies. So at the

1309
01:04:05,573 --> 01:04:08,733
Speaker 12: moment it's back to me, one man band. But I

1310
01:04:08,773 --> 01:04:13,613
Speaker 12: know we'll go again when things get better. At the

1311
01:04:13,653 --> 01:04:18,173
Speaker 12: top of my seven guys working for me. But I

1312
01:04:18,213 --> 01:04:21,853
Speaker 12: don't like what I do. If I had my time again,

1313
01:04:21,973 --> 01:04:23,613
Speaker 12: I still want to know what I want to do.

1314
01:04:24,053 --> 01:04:26,333
Speaker 12: So there's some people that do just have to do

1315
01:04:26,373 --> 01:04:28,453
Speaker 12: what they have to do to get on with them.

1316
01:04:28,933 --> 01:04:31,453
Speaker 2: Yeah, it's a funny thing that knowing what you want

1317
01:04:31,493 --> 01:04:34,693
Speaker 2: to do. You know, often people ask at seventeen, what

1318
01:04:34,693 --> 01:04:36,133
Speaker 2: do you want to do with your life? I think

1319
01:04:36,133 --> 01:04:37,813
Speaker 2: a lot of people will go right through their life

1320
01:04:37,813 --> 01:04:40,533
Speaker 2: and not know exactly what they want to do. It's

1321
01:04:40,613 --> 01:04:42,013
Speaker 2: quite a difficult question, isn't it.

1322
01:04:42,573 --> 01:04:45,213
Speaker 12: You know, there's things, there's things you want to do,

1323
01:04:46,013 --> 01:04:49,173
Speaker 12: but realistic I don't think there would be too many

1324
01:04:49,253 --> 01:04:51,773
Speaker 12: people that go to work every day saying this is

1325
01:04:51,813 --> 01:04:54,173
Speaker 12: my passion. I don't think there's many of those people.

1326
01:04:54,893 --> 01:04:57,133
Speaker 12: But I would all say that their time and they

1327
01:04:57,133 --> 01:04:59,013
Speaker 12: able to do what's happened.

1328
01:04:58,813 --> 01:05:01,413
Speaker 2: Yea, yeah, exactly. So I guess what I'm trying to

1329
01:05:01,453 --> 01:05:03,693
Speaker 2: say is is what you're saying there. You know the

1330
01:05:03,733 --> 01:05:06,053
Speaker 2: idea that you need to find your passion in life.

1331
01:05:06,493 --> 01:05:08,653
Speaker 2: And then you know that people say things if you

1332
01:05:08,733 --> 01:05:10,413
Speaker 2: if you love what you do, you're never working all

1333
01:05:10,413 --> 01:05:12,773
Speaker 2: those kind of things. There must be only one percent

1334
01:05:12,853 --> 01:05:15,813
Speaker 2: of the population that that you know their job.

1335
01:05:16,213 --> 01:05:18,373
Speaker 12: There and lucky.

1336
01:05:18,613 --> 01:05:23,453
Speaker 21: Yeah, yeah, but I okay, goals and speedway.

1337
01:05:22,933 --> 01:05:26,013
Speaker 12: I want to do international travel. I want to be

1338
01:05:26,093 --> 01:05:28,413
Speaker 12: a farmer, but I couldn't see that only the farm

1339
01:05:28,533 --> 01:05:31,973
Speaker 12: was going to be viable pet to that. But what

1340
01:05:32,053 --> 01:05:35,613
Speaker 12: I do has enabled me to buy a lifestyle block. Yeah,

1341
01:05:35,893 --> 01:05:40,293
Speaker 12: and so it's yeah, but what I do every day

1342
01:05:40,373 --> 01:05:43,773
Speaker 12: of the week, if I don't have to do it,

1343
01:05:43,853 --> 01:05:44,693
Speaker 12: I want to be doing it.

1344
01:05:44,973 --> 01:05:48,653
Speaker 2: Yeah, that's absolutely yeah. I mean there must be the

1345
01:05:48,693 --> 01:05:51,373
Speaker 2: case for for most people. I do seriously think that

1346
01:05:51,373 --> 01:05:54,373
Speaker 2: that idea that you that your life is defined by

1347
01:05:54,493 --> 01:05:56,293
Speaker 2: your job, and that if you find something just you've

1348
01:05:56,293 --> 01:05:58,773
Speaker 2: got to find that perfect thing that job aligns with

1349
01:05:58,813 --> 01:06:01,693
Speaker 2: you and reach all your dreams and goals. Sometimes you

1350
01:06:01,813 --> 01:06:04,573
Speaker 2: just got to find a job that's pretty good and

1351
01:06:04,613 --> 01:06:08,573
Speaker 2: then and then try and do the things, find some hobbies.

1352
01:06:08,413 --> 01:06:11,173
Speaker 3: Exactly, you know. Yeah, but that idea that you know,

1353
01:06:11,453 --> 01:06:14,573
Speaker 3: what was the phrase that if you work in your passion,

1354
01:06:14,613 --> 01:06:16,333
Speaker 3: you never have to work a day in your life.

1355
01:06:16,413 --> 01:06:18,133
Speaker 3: It is a myth. It is a mess, you know.

1356
01:06:18,173 --> 01:06:19,493
Speaker 3: I know a lot of people, Look, this is a

1357
01:06:19,493 --> 01:06:22,213
Speaker 3: fantastic job, and I'm so lucky to be here. And

1358
01:06:22,253 --> 01:06:23,773
Speaker 3: I know a lot of friends who have followed their

1359
01:06:23,813 --> 01:06:26,973
Speaker 3: passions and they've got fantastic businesses. Most of the time

1360
01:06:26,973 --> 01:06:29,293
Speaker 3: they love it. But they'll still winch they'll still have

1361
01:06:29,333 --> 01:06:31,813
Speaker 3: bad days, they'll still have stress, They'll still wake up

1362
01:06:31,853 --> 01:06:33,373
Speaker 3: some days and think, oh jeez, I want to do

1363
01:06:33,413 --> 01:06:34,093
Speaker 3: something different now.

1364
01:06:34,293 --> 01:06:37,653
Speaker 2: Yeah, well, I remember telling my career a guidance a

1365
01:06:38,173 --> 01:06:41,573
Speaker 2: person that this woman at school I wanted to be

1366
01:06:41,653 --> 01:06:46,493
Speaker 2: a rock star, and you were, well kind of, but

1367
01:06:46,493 --> 01:06:49,293
Speaker 2: but she rightly said, you won't be a rock star.

1368
01:06:50,573 --> 01:06:51,893
Speaker 2: To be fair, I did have a top twenty album,

1369
01:06:51,893 --> 01:06:53,293
Speaker 2: but you wouldn't call me a rock star. More of

1370
01:06:53,333 --> 01:06:57,133
Speaker 2: a rock moon. I don't know, not quite a start.

1371
01:06:57,613 --> 01:06:59,533
Speaker 3: Oh one hundred and eighty ten eighty is the number

1372
01:06:59,613 --> 01:07:01,493
Speaker 3: to call. We're going to play some messages, but we've

1373
01:07:01,493 --> 01:07:03,293
Speaker 3: got plenty of calls to get to. But love to

1374
01:07:03,293 --> 01:07:04,373
Speaker 3: hear your story.

1375
01:07:05,213 --> 01:07:07,613
Speaker 1: The issues that affect you and if it, have fun

1376
01:07:07,653 --> 01:07:11,573
Speaker 1: along the way. Matt Heath and Taylor Adams Afternoons news talks.

1377
01:07:11,573 --> 01:07:15,013
Speaker 3: That'd be afternoon. It is seventeen to three.

1378
01:07:15,053 --> 01:07:17,333
Speaker 2: That person before was correct. Social development are terrible. You

1379
01:07:17,373 --> 01:07:19,133
Speaker 2: have to be motivated and do it yourself. They offer

1380
01:07:19,213 --> 01:07:21,733
Speaker 2: nothing of use. Nothing is easy, and if you are

1381
01:07:21,773 --> 01:07:24,293
Speaker 2: new to the system and don't know entitlements, they don't

1382
01:07:24,333 --> 01:07:27,333
Speaker 2: tell you even when sick, no community services card for

1383
01:07:27,333 --> 01:07:29,253
Speaker 2: a full year. If you were working tough about the

1384
01:07:29,293 --> 01:07:32,493
Speaker 2: medical costs and much made harder if you're used to

1385
01:07:32,533 --> 01:07:36,213
Speaker 2: working in a bit more money. Yeah, I guess, I

1386
01:07:36,213 --> 01:07:38,733
Speaker 2: guess The thing with that is what I was saying

1387
01:07:38,813 --> 01:07:40,613
Speaker 2: is you know this person said was asking, you know,

1388
01:07:40,653 --> 01:07:42,613
Speaker 2: what should they do? How do they go go forward?

1389
01:07:42,813 --> 01:07:45,373
Speaker 2: But I mean, you know, if you go into wins

1390
01:07:45,653 --> 01:07:47,853
Speaker 2: and you are motivated, then there are things, there are

1391
01:07:47,893 --> 01:07:50,333
Speaker 2: courses that they've got that will help you definitely.

1392
01:07:50,453 --> 01:07:52,613
Speaker 3: And I think you know, yeah, that's a skill in

1393
01:07:52,653 --> 01:07:55,413
Speaker 3: life though, right that if you are getting those roadblocks

1394
01:07:55,773 --> 01:07:58,693
Speaker 3: at MASD and you need help, fight for it. And

1395
01:07:58,733 --> 01:08:00,533
Speaker 3: that was as a skill that is going to serve

1396
01:08:00,573 --> 01:08:02,893
Speaker 3: you well going forward is don't take no for an answer,

1397
01:08:02,973 --> 01:08:05,413
Speaker 3: show up as you say every day, show that motivation,

1398
01:08:05,733 --> 01:08:08,253
Speaker 3: go above their head. Those are all skills that are

1399
01:08:08,533 --> 01:08:10,653
Speaker 3: to serve you very well once you get into the workforce.

1400
01:08:10,693 --> 01:08:12,773
Speaker 2: Hey guys, I'm on the fence about wins. My son's

1401
01:08:12,813 --> 01:08:16,412
Speaker 2: case worker knew nothing about dyslexia and how it affects people.

1402
01:08:16,492 --> 01:08:18,572
Speaker 2: They thought it was the same as ADHD and asked

1403
01:08:18,653 --> 01:08:21,933
Speaker 2: him what medication he took for it. He needs to

1404
01:08:21,973 --> 01:08:25,293
Speaker 2: exist training to pass a psychometric testing for a job,

1405
01:08:25,572 --> 01:08:29,812
Speaker 2: as his dyslexia causes issues with reading quickly. They are

1406
01:08:29,933 --> 01:08:33,133
Speaker 2: times tests, but as his literacy and numacy are too high,

1407
01:08:33,173 --> 01:08:35,093
Speaker 2: he can't get any help. Yeah.

1408
01:08:35,133 --> 01:08:36,213
Speaker 3: Yeah, that's a tricky one.

1409
01:08:37,173 --> 01:08:40,452
Speaker 2: Yeah, I mean, but I'm just sure that there'll be

1410
01:08:40,452 --> 01:08:44,652
Speaker 2: people that you know that at work and income that

1411
01:08:45,053 --> 01:08:46,532
Speaker 2: were desperate to help, right.

1412
01:08:46,612 --> 01:08:48,372
Speaker 3: Yeah, that in fact, they don't know how to help

1413
01:08:48,372 --> 01:08:51,253
Speaker 3: in that situation. It's a government agency. There will be

1414
01:08:51,412 --> 01:08:55,052
Speaker 3: people within that realm who would have those skills and expertise,

1415
01:08:55,093 --> 01:08:55,812
Speaker 3: you'd hope anyway.

1416
01:08:55,933 --> 01:08:58,532
Speaker 2: Yeah, I mean, if you're working and absolutely in any

1417
01:08:58,572 --> 01:09:01,213
Speaker 2: business at all, these terrible employees and I don't know

1418
01:09:01,213 --> 01:09:05,452
Speaker 2: why the percentages at wins, but maybe there's a lot

1419
01:09:05,452 --> 01:09:06,933
Speaker 2: of people that have given up on life. But I

1420
01:09:06,973 --> 01:09:10,492
Speaker 2: can imagine, and maybe this is some sort of naive belief,

1421
01:09:10,612 --> 01:09:13,612
Speaker 2: there would be people working there that would be absolutely

1422
01:09:13,812 --> 01:09:18,012
Speaker 2: stoked to help someone and see them move into another

1423
01:09:18,053 --> 01:09:20,452
Speaker 2: part of their life. You succeed, Dion.

1424
01:09:20,572 --> 01:09:22,452
Speaker 3: How are you good?

1425
01:09:22,492 --> 01:09:24,132
Speaker 19: Thanks? Guys. Are you doing today?

1426
01:09:24,333 --> 01:09:24,572
Speaker 7: Yeah?

1427
01:09:24,652 --> 01:09:27,652
Speaker 3: Very good? So you were made redundant last year, Dion.

1428
01:09:27,973 --> 01:09:29,852
Speaker 3: And how are you going now?

1429
01:09:31,213 --> 01:09:34,213
Speaker 19: Well, I don't have a full time job at a moment,

1430
01:09:34,293 --> 01:09:37,612
Speaker 19: but I'm working in what I enjoy. Yeah. So, I

1431
01:09:37,612 --> 01:09:41,452
Speaker 19: mean I was an IT engineer, and the it is

1432
01:09:43,333 --> 01:09:45,852
Speaker 19: it's hard to get back into, specially at my age.

1433
01:09:45,933 --> 01:09:51,452
Speaker 19: I'm fifty eight years old. So employees we prefer to

1434
01:09:51,652 --> 01:09:54,692
Speaker 19: employing people that's younger coming out of the university, so

1435
01:09:54,732 --> 01:09:57,452
Speaker 19: they don't have to pay them that much. But that's okay,

1436
01:09:58,293 --> 01:10:01,613
Speaker 19: as part of when I got made redundant. Yes, it

1437
01:10:01,612 --> 01:10:04,412
Speaker 19: gave me a bit of a shock being in it

1438
01:10:04,853 --> 01:10:10,772
Speaker 19: for forty odd years since I was seventeen. So yeah,

1439
01:10:12,053 --> 01:10:15,093
Speaker 19: my wife told me that you had you have an

1440
01:10:15,093 --> 01:10:19,372
Speaker 19: opportunity to do what you love, and I said, yeah, okay,

1441
01:10:19,652 --> 01:10:22,933
Speaker 19: when I've got maybe ten years left before I have

1442
01:10:22,973 --> 01:10:27,973
Speaker 19: to retire whatever something like that. So I decided this

1443
01:10:28,173 --> 01:10:33,133
Speaker 19: is gonna cost us. We made life difficult class. So yeah,

1444
01:10:33,333 --> 01:10:37,652
Speaker 19: I got an improved job as a coordinator for a

1445
01:10:37,692 --> 01:10:42,732
Speaker 19: West Auckland not for profit called what Tachi Ethnic Board.

1446
01:10:43,013 --> 01:10:47,573
Speaker 19: As I said, I'm ethnic from Sertifrica, so I'm the coordinator.

1447
01:10:47,652 --> 01:10:50,412
Speaker 19: But what I'm trying to say is I'm doing something

1448
01:10:50,452 --> 01:10:54,172
Speaker 19: that I love and stepping right out of my comfort Zune.

1449
01:10:55,372 --> 01:10:58,293
Speaker 19: You know, I went and enrolled myself for the current

1450
01:10:58,612 --> 01:11:03,053
Speaker 19: or for upcoming local elections as a local board member.

1451
01:11:03,732 --> 01:11:06,373
Speaker 19: And for me, it's just going to work in my community.

1452
01:11:06,772 --> 01:11:10,293
Speaker 19: Just I love working with people. And yes, the opportunity

1453
01:11:10,372 --> 01:11:13,652
Speaker 19: for me working in a suppose corporate environment in a

1454
01:11:14,532 --> 01:11:17,532
Speaker 19: in an environment where I can work with people doesn't

1455
01:11:17,532 --> 01:11:21,612
Speaker 19: come along. That's okay, I'm just doing what I love

1456
01:11:21,652 --> 01:11:23,532
Speaker 19: at the moment. Yes, it's not playing, it's not playing

1457
01:11:23,572 --> 01:11:27,213
Speaker 19: all the bulls. But oh, I have an awesome wife

1458
01:11:27,213 --> 01:11:30,253
Speaker 19: that supports me in it, and yeah that's basically me.

1459
01:11:30,612 --> 01:11:33,293
Speaker 2: Oh bloody good and all the best for you there.

1460
01:11:33,532 --> 01:11:37,092
Speaker 2: So I guess the obvious question is if the corporate

1461
01:11:37,173 --> 01:11:39,652
Speaker 2: job popped up again, would you throw aside what you're

1462
01:11:39,652 --> 01:11:41,412
Speaker 2: currently doing that you love and go back to the

1463
01:11:41,452 --> 01:11:42,412
Speaker 2: corporate world or is.

1464
01:11:43,013 --> 01:11:46,333
Speaker 19: It not into it? Ev I want to go and

1465
01:11:46,372 --> 01:11:50,253
Speaker 19: do something that's going to be our benefit when it

1466
01:11:50,293 --> 01:11:52,892
Speaker 19: comes to seeing something like a success manager or a

1467
01:11:52,933 --> 01:11:55,452
Speaker 19: customery lesson manager or something like that, where I can

1468
01:11:55,492 --> 01:12:02,572
Speaker 19: work with people and I have I believe this is me.

1469
01:12:02,732 --> 01:12:04,452
Speaker 19: I believe that I was put on a surf to

1470
01:12:04,452 --> 01:12:07,772
Speaker 19: make people smile. That's just me. I know that's my

1471
01:12:07,893 --> 01:12:10,933
Speaker 19: sense to some people, but that that is for me.

1472
01:12:11,053 --> 01:12:14,253
Speaker 19: The thing I most of going to my job is

1473
01:12:14,293 --> 01:12:16,892
Speaker 19: being able to walk up the road to my coffee

1474
01:12:16,893 --> 01:12:20,213
Speaker 19: every day and to say and make one person smile.

1475
01:12:20,293 --> 01:12:22,213
Speaker 19: That's fine. That's what I get up every morning to

1476
01:12:22,213 --> 01:12:25,132
Speaker 19: do is make one person smile, and then that Melissa

1477
01:12:25,213 --> 01:12:27,492
Speaker 19: can When they're smiling, they forget about all their wales,

1478
01:12:27,532 --> 01:12:30,492
Speaker 19: all their concerns because it can't be beset and smart

1479
01:12:30,412 --> 01:12:31,013
Speaker 19: at the same time.

1480
01:12:31,333 --> 01:12:32,893
Speaker 2: Mate, that's a beautiful philosophy.

1481
01:12:33,013 --> 01:12:35,133
Speaker 3: Yeah, I'm glad people like you're out their tea on

1482
01:12:35,213 --> 01:12:37,053
Speaker 3: that as lovely mate at the age of fifty eight

1483
01:12:37,093 --> 01:12:40,293
Speaker 3: to know that about yourself. Right, we're going to take

1484
01:12:40,412 --> 01:12:43,293
Speaker 3: a quick break, but there's plenty more stories to get to.

1485
01:12:43,572 --> 01:12:45,892
Speaker 2: I'd'd be much like that last quar and my goals

1486
01:12:45,973 --> 01:12:48,732
Speaker 2: have never been work related. They've been to run a

1487
01:12:48,812 --> 01:12:52,173
Speaker 2: three hour marathon. Yeah, okay, a job is just to

1488
01:12:52,213 --> 01:12:54,532
Speaker 2: facilitate my lifestyle. Yeah, that's the point I was trying

1489
01:12:54,532 --> 01:12:56,173
Speaker 2: to make. The idea that you know, you've got to

1490
01:12:56,173 --> 01:12:58,892
Speaker 2: find your dream vocation and that that perfect thing and

1491
01:12:58,933 --> 01:13:00,612
Speaker 2: find your meaning and your work and all this stuff.

1492
01:13:00,652 --> 01:13:03,173
Speaker 2: Sometimes it's just you have a job and then there's

1493
01:13:03,253 --> 01:13:05,772
Speaker 2: other interests that you have. I mean, for the longest time,

1494
01:13:05,812 --> 01:13:08,133
Speaker 2: I think people thought a good life was to have

1495
01:13:08,173 --> 01:13:10,892
Speaker 2: a job and then you volunteered at the rugby club

1496
01:13:11,253 --> 01:13:14,372
Speaker 2: or you know, you did whatever, you rotary club, I

1497
01:13:14,372 --> 01:13:16,133
Speaker 2: don't know, Lions club, with lots of different things that

1498
01:13:16,452 --> 01:13:18,293
Speaker 2: people did. They had their job and then the wider

1499
01:13:18,333 --> 01:13:21,093
Speaker 2: community thing they did. The idea that you have to

1500
01:13:21,133 --> 01:13:24,412
Speaker 2: find the absolute dream vocation and you know what am

1501
01:13:24,452 --> 01:13:25,772
Speaker 2: I going to do with my life? Is the question

1502
01:13:25,853 --> 01:13:31,213
Speaker 2: that you're asking from about seventeen till about forty a year,

1503
01:13:31,253 --> 01:13:32,972
Speaker 2: give up and go oh, I've never found my dream.

1504
01:13:33,812 --> 01:13:35,333
Speaker 2: Maybe that never existed.

1505
01:13:35,093 --> 01:13:36,972
Speaker 3: Nicely said, it is ten to three.

1506
01:13:37,853 --> 01:13:40,293
Speaker 4: The issues that affect you and a bit of fun

1507
01:13:40,333 --> 01:13:40,972
Speaker 4: along the way.

1508
01:13:41,173 --> 01:13:45,333
Speaker 1: Matt Heath and Taylor Adams Afternoons News TALKSB.

1509
01:13:45,492 --> 01:13:47,932
Speaker 3: News Talks there B it is eight two three.

1510
01:13:48,492 --> 01:13:50,173
Speaker 2: So there's a lot of people been taking shots at

1511
01:13:51,213 --> 01:13:56,613
Speaker 2: the Ministry of Social Developments. High. I am a community

1512
01:13:56,692 --> 01:14:00,492
Speaker 2: rep for Social Element don't, however, I sit on it.

1513
01:14:01,532 --> 01:14:03,812
Speaker 2: The law requires a case manager to provide all the

1514
01:14:03,812 --> 01:14:07,213
Speaker 2: information to a client. The information to a client, they're

1515
01:14:07,293 --> 01:14:09,892
Speaker 2: full and correct and time implements. It does require being

1516
01:14:09,933 --> 01:14:12,532
Speaker 2: honest and providing the MSD with the proper information.

1517
01:14:12,732 --> 01:14:14,973
Speaker 3: Yeah, there we go. So the help is there and

1518
01:14:14,973 --> 01:14:17,452
Speaker 3: there are some good workers within THEMSD by the sounds

1519
01:14:17,452 --> 01:14:19,692
Speaker 3: of it, Oh, one hundred and eighty ten eighty is

1520
01:14:19,732 --> 01:14:20,652
Speaker 3: the number to call.

1521
01:14:20,812 --> 01:14:23,652
Speaker 2: We advertise a dairy farm job with winds, ready to work,

1522
01:14:23,893 --> 01:14:26,612
Speaker 2: entry level skills with some or no experience required, ten

1523
01:14:26,652 --> 01:14:29,612
Speaker 2: minutes from Hamilton City Salary sixty two thousand, including a

1524
01:14:29,612 --> 01:14:32,372
Speaker 2: three bedroom house. It was advertised for three weeks. Not

1525
01:14:32,452 --> 01:14:36,732
Speaker 2: one person applied. Had to seek employees offshore. That's from Penny.

1526
01:14:36,772 --> 01:14:40,052
Speaker 2: So is that a dairy farm job, ready to work,

1527
01:14:40,572 --> 01:14:43,253
Speaker 2: entry level skills. Sixty two thousand dollars a year, including

1528
01:14:43,253 --> 01:14:44,093
Speaker 2: a three bedroom house.

1529
01:14:44,213 --> 01:14:46,852
Speaker 3: That is a good salary, that's not too bad without

1530
01:14:46,893 --> 01:14:49,612
Speaker 3: having to pay rent. Absolutely, I wonder if you're in

1531
01:14:49,652 --> 01:14:53,612
Speaker 3: the area of this person that's given up. Yeah, I

1532
01:14:53,612 --> 01:14:56,772
Speaker 3: think we got Alex on the phone. Get a Alex.

1533
01:14:58,452 --> 01:14:59,572
Speaker 22: Hey, Hey, going guys.

1534
01:14:59,652 --> 01:15:00,333
Speaker 18: Nice to talk to you.

1535
01:15:00,412 --> 01:15:02,173
Speaker 3: Both, likewise, nice to talk with you.

1536
01:15:05,412 --> 01:15:08,972
Speaker 18: Yeah, it's just interesting listening to people's perspective. And look,

1537
01:15:09,333 --> 01:15:14,132
Speaker 18: I absolutely recognize that people are, you know, just different,

1538
01:15:14,213 --> 01:15:18,853
Speaker 18: and that's a good thing and so dependent upon your attitude,

1539
01:15:18,933 --> 01:15:22,333
Speaker 18: you know, the ability to move forward in life despite

1540
01:15:22,372 --> 01:15:26,652
Speaker 18: your circumstances can be very rewarding if you simply have

1541
01:15:26,812 --> 01:15:27,852
Speaker 18: that type of attitude.

1542
01:15:27,893 --> 01:15:30,692
Speaker 3: You know, nicely said Alex. Now we're a bit short

1543
01:15:30,732 --> 01:15:32,692
Speaker 3: on time before the news, but we're really keen to

1544
01:15:32,692 --> 01:15:34,652
Speaker 3: hear your story. You made a major change at the

1545
01:15:34,652 --> 01:15:35,532
Speaker 3: age of forty six.

1546
01:15:37,213 --> 01:15:41,253
Speaker 18: Well, I worked for the council managing a small leisure

1547
01:15:41,293 --> 01:15:43,732
Speaker 18: center for sixteen years, and then my staff and I

1548
01:15:43,772 --> 01:15:45,572
Speaker 18: would have maybe redundant when they built a new rec

1549
01:15:45,612 --> 01:15:48,492
Speaker 18: center up the road, and so you know, it was

1550
01:15:48,973 --> 01:15:51,732
Speaker 18: a pivotal time in my life. But at forty six

1551
01:15:51,973 --> 01:15:53,892
Speaker 18: it led me down to what it is that I

1552
01:15:53,973 --> 01:15:54,652
Speaker 18: do now.

1553
01:15:55,973 --> 01:15:56,812
Speaker 3: And what do you do now?

1554
01:15:57,053 --> 01:16:00,612
Speaker 18: So I'm once known as a gain on disposal of

1555
01:16:00,652 --> 01:16:04,733
Speaker 18: steward for hotels. When hotels commercial hotels, when they refurbish

1556
01:16:04,812 --> 01:16:07,492
Speaker 18: or upgrade, they normally have to pay someone to come

1557
01:16:07,532 --> 01:16:10,213
Speaker 18: and take there for a true way, which you know

1558
01:16:10,652 --> 01:16:13,732
Speaker 18: it's understandable. But what I do is I provide a

1559
01:16:13,732 --> 01:16:17,653
Speaker 18: service that allows those hotels to have their inventory addressed

1560
01:16:17,652 --> 01:16:20,333
Speaker 18: and I empty whole hotels. And the way that I

1561
01:16:20,372 --> 01:16:22,973
Speaker 18: do it is, I say, listen, guys, the answer to

1562
01:16:23,053 --> 01:16:25,972
Speaker 18: your situation here is to bless the loser of people

1563
01:16:26,013 --> 01:16:29,372
Speaker 18: who have needs, especially post COVID where inflation is so high.

1564
01:16:29,412 --> 01:16:32,533
Speaker 18: So what we do is we set up the inventory

1565
01:16:32,893 --> 01:16:35,053
Speaker 18: and make it available for members of the public who

1566
01:16:35,133 --> 01:16:38,173
Speaker 18: know about it as such outrageously cheap prices. It becomes

1567
01:16:38,173 --> 01:16:41,572
Speaker 18: an absolute blessing. The biggest problem is hotels just don't

1568
01:16:41,572 --> 01:16:42,533
Speaker 18: have enough inventory.

1569
01:16:43,452 --> 01:16:45,612
Speaker 3: It's a fantastic John and how did you get into that?

1570
01:16:45,732 --> 01:16:48,012
Speaker 3: Did you know someone within the hotel business?

1571
01:16:49,572 --> 01:16:50,652
Speaker 18: No, I didn't.

1572
01:16:51,973 --> 01:16:52,173
Speaker 10: You know.

1573
01:16:52,213 --> 01:16:55,293
Speaker 18: A lot of events occurred, honestly, and it's going to

1574
01:16:55,333 --> 01:16:57,932
Speaker 18: take too long to explain it. But if I'm being

1575
01:16:57,933 --> 01:17:01,132
Speaker 18: straight up about it, the good man upstairs basically steered

1576
01:17:01,173 --> 01:17:04,333
Speaker 18: me into this. So part and parcel of what my

1577
01:17:04,412 --> 01:17:08,012
Speaker 18: responsibility is is not only to set up pricing, which

1578
01:17:08,053 --> 01:17:10,933
Speaker 18: is so inclusive that it allows people, for example, to

1579
01:17:10,973 --> 01:17:14,572
Speaker 18: buy beds the sixty bucks or forty bucks. You know,

1580
01:17:15,532 --> 01:17:20,053
Speaker 18: but it moves the inventory. And you know, while it's

1581
01:17:20,253 --> 01:17:24,133
Speaker 18: data for the hotel's purposes, will it work domestically? Absolutely?

1582
01:17:24,452 --> 01:17:27,372
Speaker 3: Love it interesting, What a great story. Now, just before

1583
01:17:27,412 --> 01:17:29,293
Speaker 3: we hit the news, there's been a lot of people

1584
01:17:29,333 --> 01:17:33,572
Speaker 3: concerned about the texture. A little bit earlier on who

1585
01:17:33,772 --> 01:17:36,012
Speaker 3: was a bit downcast about the situation.

1586
01:17:36,372 --> 01:17:38,093
Speaker 2: Yeah, the one that said he'd given up and he

1587
01:17:38,133 --> 01:17:40,133
Speaker 2: didn't have any ideas and didn't know what to do.

1588
01:17:40,213 --> 01:17:42,572
Speaker 2: So we're going to send all that information, all your

1589
01:17:42,572 --> 01:17:45,412
Speaker 2: advice to that guy and hopefully he sorts it south

1590
01:17:45,452 --> 01:17:48,012
Speaker 2: out and found some motivation thanks to all the lovely

1591
01:17:48,053 --> 01:17:49,412
Speaker 2: texts on nine two ninety two.

1592
01:17:49,452 --> 01:17:52,213
Speaker 3: Good on you. Yep, Absolutely, what a great discussion right

1593
01:17:52,293 --> 01:17:57,213
Speaker 3: coming up after three o'clock politicians using AIAI in government.

1594
01:17:57,253 --> 01:18:00,173
Speaker 3: How do you feel about that? It's kicking off overseas.

1595
01:18:00,213 --> 01:18:01,612
Speaker 3: We're going to tell you a little bit more about

1596
01:18:01,612 --> 01:18:04,333
Speaker 3: that very shortly. New Sport and weather on its way.

1597
01:18:04,532 --> 01:18:06,213
Speaker 3: You're listening to Matt and Tyler. Hope you having a

1598
01:18:06,213 --> 01:18:07,772
Speaker 3: great afternoon.

1599
01:18:09,492 --> 01:18:14,773
Speaker 2: Time fliers and only twice.

1600
01:18:13,853 --> 01:18:18,092
Speaker 1: Your new homes are insightful and entertaining talk. It's Matty

1601
01:18:18,372 --> 01:18:21,972
Speaker 1: and Taylor Adams Afternoons on News Talk Sebby.

1602
01:18:23,093 --> 01:18:25,213
Speaker 3: Very good afternoon to you. Welcome back into the program.

1603
01:18:25,253 --> 01:18:26,253
Speaker 3: Seven past three.

1604
01:18:26,492 --> 01:18:30,532
Speaker 2: Before we put the previous topic to bed. But I

1605
01:18:30,572 --> 01:18:33,772
Speaker 2: was trying to explain before this concept that the idea

1606
01:18:33,853 --> 01:18:37,173
Speaker 2: of finding your dream job isn't necessarily helpful. Yeah, and

1607
01:18:37,253 --> 01:18:38,812
Speaker 2: I didn't explain it very well. So there's a text

1608
01:18:38,812 --> 01:18:40,293
Speaker 2: here that's come through that explains it pretty well.

1609
01:18:40,333 --> 01:18:41,213
Speaker 3: Okay for me. Cool.

1610
01:18:41,572 --> 01:18:43,452
Speaker 2: I agree with you, Matt, although you fail to explain

1611
01:18:43,492 --> 01:18:45,572
Speaker 2: your idea very well. In fact, you sucked at it.

1612
01:18:46,133 --> 01:18:48,253
Speaker 2: But that's okay haha, So I have given it a

1613
01:18:48,293 --> 01:18:50,812
Speaker 2: go for you. The idea of a dream job can

1614
01:18:50,893 --> 01:18:54,652
Speaker 2: be unhelpful because it creates an unrealistic expectation assumes there's

1615
01:18:54,692 --> 01:18:57,532
Speaker 2: only one perfect fit and can lead to disappointment or

1616
01:18:57,572 --> 01:19:02,093
Speaker 2: paralysis when reality doesn't match the ideal. In truth, interest evolves.

1617
01:19:02,372 --> 01:19:04,933
Speaker 2: Success often comes from growing into roles and meaning in

1618
01:19:04,973 --> 01:19:07,572
Speaker 2: life doesn't have to come solely from work. For some

1619
01:19:07,732 --> 01:19:10,372
Speaker 2: finding a job that pays your way while finding meaning

1620
01:19:10,412 --> 01:19:14,172
Speaker 2: and family and community and hobbies is a perfectly awesome life.

1621
01:19:14,412 --> 01:19:17,053
Speaker 2: The truth is, we aren't all going to be special in,

1622
01:19:17,173 --> 01:19:20,532
Speaker 2: celebrated and famous, but we might spend our lives being

1623
01:19:20,612 --> 01:19:23,092
Speaker 2: very important to the people close to us. That probably

1624
01:19:23,133 --> 01:19:25,372
Speaker 2: means more on your death bed than a lot of

1625
01:19:25,412 --> 01:19:27,052
Speaker 2: these special dream career paths.

1626
01:19:27,253 --> 01:19:29,492
Speaker 3: Nicely said that there's a lot better than I explained it.

1627
01:19:29,572 --> 01:19:31,333
Speaker 3: That is deep, But then it's beautiful.

1628
01:19:31,412 --> 01:19:33,732
Speaker 2: That's exactly what I mean. Yeah, well done, But I

1629
01:19:33,812 --> 01:19:36,372
Speaker 2: got out a bunch of garbled rubbish that confused everyone

1630
01:19:36,412 --> 01:19:37,452
Speaker 2: and find out the text machine.

1631
01:19:37,492 --> 01:19:39,692
Speaker 3: But that is a fantastic place to leave that discussion,

1632
01:19:39,732 --> 01:19:40,892
Speaker 3: and what a discussion it was.

1633
01:19:41,013 --> 01:19:42,692
Speaker 2: Hang a minute, we're not leaving it yet. We're waiting

1634
01:19:42,732 --> 01:19:45,812
Speaker 2: for this text to come through. What was the name

1635
01:19:45,853 --> 01:19:48,973
Speaker 2: of the hotel furnishing business? What's the name of the

1636
01:19:49,093 --> 01:19:54,972
Speaker 2: organization that sells ex. Hotel furniture. I texted Alex waiting

1637
01:19:54,973 --> 01:19:55,572
Speaker 2: for his reply.

1638
01:19:55,772 --> 01:19:57,932
Speaker 3: Yeah, and we just got off the phone. So Alex,

1639
01:19:57,973 --> 01:20:00,133
Speaker 3: if you still listening, mate, you send that text through

1640
01:20:00,133 --> 01:20:02,293
Speaker 3: because a lot of people are interested. He did say

1641
01:20:02,333 --> 01:20:04,053
Speaker 3: he was going to send that text through AUSAP.

1642
01:20:04,412 --> 01:20:04,852
Speaker 2: I'm waiting.

1643
01:20:05,173 --> 01:20:07,932
Speaker 3: Come on, Alex, come on, come on, We'll give him

1644
01:20:07,933 --> 01:20:10,892
Speaker 3: another call in the air brake, I think. But yeah,

1645
01:20:10,893 --> 01:20:12,652
Speaker 3: it's sounded like a fantastic business and a lot of

1646
01:20:12,692 --> 01:20:15,253
Speaker 3: people want to know Alex, so text it through, right,

1647
01:20:15,412 --> 01:20:18,452
Speaker 3: This is going to be a good discussion. So AI

1648
01:20:18,732 --> 01:20:21,972
Speaker 3: in government, there has been a bit of pushback of

1649
01:20:22,053 --> 01:20:25,692
Speaker 3: some politicians using artificial intelligence to help with their jobs.

1650
01:20:25,692 --> 01:20:29,053
Speaker 3: So one MP in the UK he has created an

1651
01:20:29,053 --> 01:20:31,212
Speaker 3: AI bot of himself. The reason he's done.

1652
01:20:31,053 --> 01:20:32,372
Speaker 2: This because he's lazy.

1653
01:20:32,492 --> 01:20:34,973
Speaker 3: Yeah, well he's farming out a bit of work. He

1654
01:20:35,053 --> 01:20:37,452
Speaker 3: sets up this AI bot and people can ring it

1655
01:20:37,572 --> 01:20:39,732
Speaker 3: or text it, or email it or even talk to

1656
01:20:39,772 --> 01:20:42,293
Speaker 3: it twenty four hours a day and it can answer

1657
01:20:42,333 --> 01:20:47,052
Speaker 3: basic questions in relation to his constituency. He then says

1658
01:20:47,093 --> 01:20:49,053
Speaker 3: he picks up some of the more complex stuff, but

1659
01:20:49,093 --> 01:20:50,892
Speaker 3: the AI bot is sitting there that if people want

1660
01:20:50,893 --> 01:20:53,293
Speaker 3: to know what day rubbish day is if they've got

1661
01:20:53,293 --> 01:20:56,053
Speaker 3: a problem with their mailman, then the AI bot can

1662
01:20:56,093 --> 01:20:59,412
Speaker 3: give them a bit of information. The other politician who

1663
01:20:59,492 --> 01:21:01,293
Speaker 3: got a bit of heat was none other than the

1664
01:21:01,293 --> 01:21:04,293
Speaker 3: Swedish Prime minister. So he led it slip that he

1665
01:21:04,412 --> 01:21:07,532
Speaker 3: uses chat GPT to run through a couple of policy

1666
01:21:07,612 --> 01:21:10,772
Speaker 3: ideas to get a second opinion. And the people of

1667
01:21:10,812 --> 01:21:13,052
Speaker 3: Sweden are not happy with that. They said, I quote,

1668
01:21:13,093 --> 01:21:16,172
Speaker 3: we did not vote for chat GPT to be prime minister.

1669
01:21:16,652 --> 01:21:20,492
Speaker 2: Yeah, it's an interesting one because you know, do you

1670
01:21:20,532 --> 01:21:25,293
Speaker 2: feel comfortable with politicians using AI? I mean if you

1671
01:21:25,492 --> 01:21:28,652
Speaker 2: run it through chat gpt and it came up with

1672
01:21:28,732 --> 01:21:31,852
Speaker 2: some things you hadn't thought of, as long as he

1673
01:21:31,933 --> 01:21:35,612
Speaker 2: doesn't blanketly do exactly what chat GPT tells him to do.

1674
01:21:35,973 --> 01:21:37,732
Speaker 2: Is there anything wrong with that? Is it?

1675
01:21:37,772 --> 01:21:37,852
Speaker 6: Is?

1676
01:21:37,893 --> 01:21:42,732
Speaker 2: It? Is it worlds apart from googling and researching problems

1677
01:21:42,772 --> 01:21:47,812
Speaker 2: with with this policy, right is it? And or is

1678
01:21:47,812 --> 01:21:50,932
Speaker 2: that just handing power over to the robots? Because whether

1679
01:21:50,973 --> 01:21:55,293
Speaker 2: it's whether it's you're doing exactly what it says or not,

1680
01:21:55,372 --> 01:21:58,492
Speaker 2: you are in a way being influenced by the AI

1681
01:21:58,893 --> 01:22:02,652
Speaker 2: because it's going through using the large language moral and

1682
01:22:02,692 --> 01:22:08,812
Speaker 2: coming up with you know, things through previous experiences, whatever

1683
01:22:09,053 --> 01:22:11,652
Speaker 2: the processes of the AI, I'm not sure I feel

1684
01:22:11,652 --> 01:22:14,812
Speaker 2: about that. I mean, wouldn't it immediately texts come through

1685
01:22:14,812 --> 01:22:17,532
Speaker 2: as in twenty twenty five, I'd be concerned if a

1686
01:22:17,572 --> 01:22:19,932
Speaker 2: politician was such a luddite they weren't using AI.

1687
01:22:20,213 --> 01:22:22,932
Speaker 3: Yeah, I'd tend to lean more in favor of that text.

1688
01:22:23,213 --> 01:22:26,052
Speaker 3: And if you think that politicians or people within government

1689
01:22:26,093 --> 01:22:28,572
Speaker 3: aren't using AI to some extent in this country, you're

1690
01:22:28,612 --> 01:22:32,012
Speaker 3: deluding yourself. Absolutely, it has been utilized in one extent

1691
01:22:32,173 --> 01:22:32,572
Speaker 3: or the other.

1692
01:22:32,973 --> 01:22:35,452
Speaker 2: Yeah, I mean there will be a guarantee a story

1693
01:22:35,492 --> 01:22:38,892
Speaker 2: in the next weeks or months where a New Zealand

1694
01:22:38,933 --> 01:22:43,213
Speaker 2: politician is caught out or admits that they're using CHET,

1695
01:22:43,253 --> 01:22:47,932
Speaker 2: GBT or GROC or whatever to you know, answer questions

1696
01:22:47,973 --> 01:22:54,612
Speaker 2: from journalists or to you know, you know, pump up

1697
01:22:54,652 --> 01:22:55,732
Speaker 2: their speeches or something.

1698
01:22:55,893 --> 01:22:58,492
Speaker 3: Yeah. Perhaps even and I'm not saying this is happening

1699
01:22:58,532 --> 01:23:00,972
Speaker 3: in New Zealand, but perhaps similar to what this MP

1700
01:23:01,053 --> 01:23:03,812
Speaker 3: in the UK is doing, that there is AI responding

1701
01:23:03,893 --> 01:23:05,973
Speaker 3: to email questions from constituents.

1702
01:23:06,452 --> 01:23:09,532
Speaker 2: There's a possibility what's the name of that punished chatbot

1703
01:23:09,652 --> 01:23:11,852
Speaker 2: from in New Zealand that's been a beefed up. Was

1704
01:23:11,893 --> 01:23:12,372
Speaker 2: it Oscar?

1705
01:23:12,572 --> 01:23:12,772
Speaker 19: Yeah?

1706
01:23:12,812 --> 01:23:15,692
Speaker 3: Well it was Oscar. Yeah, So it's effectively he's cremated

1707
01:23:15,732 --> 01:23:16,133
Speaker 3: an Oscar.

1708
01:23:16,133 --> 01:23:18,213
Speaker 2: I don't want to talk to my politician and get

1709
01:23:18,213 --> 01:23:21,013
Speaker 2: those kind of responses. You know, your average chatbot on

1710
01:23:21,372 --> 01:23:24,812
Speaker 2: a site, You know, if you're looking at buying a

1711
01:23:24,853 --> 01:23:27,133
Speaker 2: car and the chatbot comes up, it's generally speaking, not

1712
01:23:27,213 --> 01:23:28,213
Speaker 2: very helpful for.

1713
01:23:28,253 --> 01:23:30,652
Speaker 3: A friendly little fellow. He certainly upset a lot of people,

1714
01:23:30,692 --> 01:23:33,572
Speaker 3: including me. Oh eight hundred eighty ten eighty. How much

1715
01:23:33,973 --> 01:23:37,613
Speaker 3: usage of AI should be used in government and from politicians?

1716
01:23:37,612 --> 01:23:40,213
Speaker 3: How would you feel about politicians accessing AI?

1717
01:23:40,572 --> 01:23:43,013
Speaker 2: Judith Collins says, admit that she uses it. There you go,

1718
01:23:43,213 --> 01:23:45,652
Speaker 2: Why have I missed that story? Will look that up.

1719
01:23:45,732 --> 01:23:47,173
Speaker 3: So we might even try and get a hold of

1720
01:23:47,213 --> 01:23:49,012
Speaker 3: Juith Collins to chat about her usage.

1721
01:23:48,772 --> 01:23:51,213
Speaker 2: Of trying to get hold of Judith Collins, Oh, eight hundred,

1722
01:23:51,293 --> 01:23:53,532
Speaker 2: or we'll get a Judith Collins chat bot on it.

1723
01:23:53,933 --> 01:23:55,732
Speaker 3: That would be great. I wait, one hundred eighty ten

1724
01:23:55,812 --> 01:23:57,372
Speaker 3: eighty is the number to call?

1725
01:23:57,612 --> 01:24:00,173
Speaker 2: So we've heard back from Alice Alex, Hey, Matt. The

1726
01:24:00,173 --> 01:24:02,133
Speaker 2: way people can hook up into the service, this is

1727
01:24:02,253 --> 01:24:09,093
Speaker 2: the furniture you know, abandoned hotel furnishing business. The best

1728
01:24:09,093 --> 01:24:10,892
Speaker 2: way people can hock up into the service is by

1729
01:24:10,893 --> 01:24:15,612
Speaker 2: sending me an email at a dot tuia that's a

1730
01:24:15,812 --> 01:24:18,812
Speaker 2: dot t uia at extra, dot co, dot and z

1731
01:24:18,973 --> 01:24:21,692
Speaker 2: with requests to go into our database. Everyone gets updates

1732
01:24:21,732 --> 01:24:25,692
Speaker 2: about which hotels we are doing, inventory becoming available, prices

1733
01:24:25,692 --> 01:24:28,612
Speaker 2: and protocols. This allows people to make an informed decision

1734
01:24:28,652 --> 01:24:33,133
Speaker 2: if they have needs. Our responsibilities provide inclusive pricing so

1735
01:24:33,213 --> 01:24:35,852
Speaker 2: people can buy according to their needs yet live within

1736
01:24:35,933 --> 01:24:37,253
Speaker 2: their needs. There you go, love it?

1737
01:24:37,372 --> 01:24:39,173
Speaker 3: Yep, good man, Alex. So that's how you get ahold

1738
01:24:39,173 --> 01:24:41,772
Speaker 3: of them? Oh one hundred eighty ten eighty. How would

1739
01:24:41,772 --> 01:24:45,132
Speaker 3: you feel about talking to an AI bot that's cloned

1740
01:24:45,133 --> 01:24:47,452
Speaker 3: as your local MP? Would you have any problem with that?

1741
01:24:47,652 --> 01:24:49,412
Speaker 3: And should they be using it to get some second

1742
01:24:49,412 --> 01:24:50,372
Speaker 3: opinions on policy?

1743
01:24:50,532 --> 01:24:53,652
Speaker 2: Dave says, boys, my doctor uses chat GBT. Well, I

1744
01:24:53,692 --> 01:24:56,093
Speaker 2: am sitting there. Only as she'll have is that I

1745
01:24:56,093 --> 01:24:58,133
Speaker 2: don't get a discount for the bot doing all the work.

1746
01:24:58,213 --> 01:25:01,213
Speaker 3: That is great. It is thirty pas three on us

1747
01:25:01,293 --> 01:25:04,652
Speaker 3: dog ZMB afternoon. It is sixteen pass three. We're talking

1748
01:25:04,652 --> 01:25:08,053
Speaker 3: about aiuse and governments. A lot of politicians have been

1749
01:25:08,093 --> 01:25:10,573
Speaker 3: at access in it and there's been some kickback overseas.

1750
01:25:10,973 --> 01:25:15,132
Speaker 3: UKMP uses a clone AI bot to answer constituents questions

1751
01:25:15,213 --> 01:25:17,772
Speaker 3: basic questions. In the Swedish PM he has got a

1752
01:25:17,812 --> 01:25:19,892
Speaker 3: lot of heat for saying that he throws policies into

1753
01:25:19,933 --> 01:25:21,333
Speaker 3: chech GPT. You see what it thinks.

1754
01:25:21,372 --> 01:25:24,572
Speaker 2: And the Honorable Judith Collins has come out in support

1755
01:25:24,572 --> 01:25:26,893
Speaker 2: of AI as she says use of AI technologies to

1756
01:25:26,893 --> 01:25:29,652
Speaker 2: improve public services as a priority for me, and this

1757
01:25:29,772 --> 01:25:34,213
Speaker 2: guidance will enable its safe and responsible uptake. AI presents

1758
01:25:34,253 --> 01:25:37,532
Speaker 2: a major opportunity to lift productivity and prove public service delivery,

1759
01:25:37,692 --> 01:25:40,932
Speaker 2: but governments must ensure it is done right. So there's

1760
01:25:40,973 --> 01:25:42,852
Speaker 2: some guidance on this. We need to get to the

1761
01:25:43,333 --> 01:25:45,933
Speaker 2: bottom of exactly what the guidance is on that.

1762
01:25:46,652 --> 01:25:49,973
Speaker 3: Yeah, so she calls it the Public Service AI Framework

1763
01:25:50,013 --> 01:25:53,172
Speaker 3: and it's quite a big document, but we've just found

1764
01:25:53,492 --> 01:25:57,772
Speaker 3: the five principles that they expect this AI framework to

1765
01:25:57,812 --> 01:25:58,412
Speaker 3: abide by.

1766
01:25:58,652 --> 01:26:01,253
Speaker 2: Safe deployment of all forms of AI and public service

1767
01:26:01,293 --> 01:26:05,052
Speaker 2: transparency and trustworthiness, and AI decision making accountability for outcomes

1768
01:26:05,093 --> 01:26:09,012
Speaker 2: driven by AI systems, focus on value the pub better

1769
01:26:09,013 --> 01:26:13,012
Speaker 2: outcomes and cost efficiency alignment with public expectations as a evolves.

1770
01:26:13,133 --> 01:26:16,612
Speaker 2: It feels like I've read that and no more no

1771
01:26:16,692 --> 01:26:18,052
Speaker 2: less than when I started reading it.

1772
01:26:18,053 --> 01:26:19,933
Speaker 3: It all sounds good, but it also sounds like a

1773
01:26:19,933 --> 01:26:22,092
Speaker 3: bit of gobblygook. Get a rusty?

1774
01:26:24,293 --> 01:26:26,333
Speaker 11: Are you rusty today?

1775
01:26:26,933 --> 01:26:29,253
Speaker 3: Very good? What's your take on AI in government?

1776
01:26:30,412 --> 01:26:32,972
Speaker 11: Well, I think that it's actually a really good thing.

1777
01:26:33,253 --> 01:26:37,132
Speaker 11: I personally was a policy analyst in a government department

1778
01:26:37,333 --> 01:26:40,973
Speaker 11: for four years and I was quite surprised when I

1779
01:26:41,093 --> 01:26:45,133
Speaker 11: was there about how little original thought actually is coming

1780
01:26:45,173 --> 01:26:47,213
Speaker 11: out of the public service. Like a lot of the

1781
01:26:47,253 --> 01:26:51,492
Speaker 11: policies that are currently in circulation have been as on

1782
01:26:51,652 --> 01:26:55,732
Speaker 11: multiple occasion. And the second thing that I think I

1783
01:26:55,853 --> 01:26:59,372
Speaker 11: learned was that because our bureaucracy and news element is

1784
01:26:59,412 --> 01:27:03,412
Speaker 11: based in Wellington, there's a bias in the public service

1785
01:27:03,452 --> 01:27:07,213
Speaker 11: which which doesn't always suit the best interest in New Zealanders.

1786
01:27:08,612 --> 01:27:11,892
Speaker 3: So the use of AI is it's increasingly being utilized

1787
01:27:11,933 --> 01:27:15,412
Speaker 3: overseas and arguably, as you say, in New zealandier part

1788
01:27:15,452 --> 01:27:18,333
Speaker 3: of that is to what get a secondary opinion or

1789
01:27:18,372 --> 01:27:21,012
Speaker 3: a different viewpoint on a policy, to try and eliminate

1790
01:27:21,013 --> 01:27:21,812
Speaker 3: bias where we can.

1791
01:27:22,893 --> 01:27:25,053
Speaker 11: Well, although I think it's actually a little bit, a

1792
01:27:25,053 --> 01:27:28,293
Speaker 11: little bit back to first principles. Really is when a

1793
01:27:28,372 --> 01:27:32,452
Speaker 11: politician proposes a policy, I think AI is going to

1794
01:27:32,492 --> 01:27:37,852
Speaker 11: be able to help generate what the detail underneath that

1795
01:27:37,893 --> 01:27:41,133
Speaker 11: policy is, which if you are asking a policy shop

1796
01:27:41,293 --> 01:27:43,293
Speaker 11: like a government department to do takes a lot of

1797
01:27:43,293 --> 01:27:45,772
Speaker 11: time and effort and a lot of cots. And I

1798
01:27:45,812 --> 01:27:48,173
Speaker 11: think that the AI is going to be less by

1799
01:27:48,253 --> 01:27:50,933
Speaker 11: us and provides you because it's got access to the

1800
01:27:50,933 --> 01:27:55,333
Speaker 11: global policy workout where around all these papers of public

1801
01:27:56,133 --> 01:27:59,532
Speaker 11: I think it'll do a better job of both enacting

1802
01:27:59,572 --> 01:28:03,852
Speaker 11: what politicians want to happen, and secondly, the quality pasty

1803
01:28:03,853 --> 01:28:06,772
Speaker 11: will be better because it's not relying on humans to

1804
01:28:06,893 --> 01:28:09,053
Speaker 11: interpret and to add their own vices to it.

1805
01:28:09,652 --> 01:28:13,572
Speaker 2: Yeah, but there is the AI illusion problem you're aware of.

1806
01:28:13,572 --> 01:28:19,372
Speaker 2: They say it sometimes just creates absolute lies, and you.

1807
01:28:19,293 --> 01:28:22,532
Speaker 11: Can't you can't just do it. You can't clearly there

1808
01:28:22,532 --> 01:28:25,093
Speaker 11: has to be humans sitting behind that looking at that

1809
01:28:25,173 --> 01:28:26,173
Speaker 11: going does that make sense?

1810
01:28:26,213 --> 01:28:26,932
Speaker 4: And is that right?

1811
01:28:27,452 --> 01:28:29,492
Speaker 11: But but what I'm saying is in terms of the

1812
01:28:29,532 --> 01:28:33,093
Speaker 11: count work that goes into policy, I think AI took

1813
01:28:33,133 --> 01:28:35,173
Speaker 11: at a job and our policy.

1814
01:28:34,812 --> 01:28:39,693
Speaker 2: Shops, how would you feel like what's happened in Switzerland

1815
01:28:40,772 --> 01:28:43,253
Speaker 2: where the Prime Minister has just hifted as policy into

1816
01:28:43,333 --> 01:28:46,972
Speaker 2: chet GBT and asked it what do you think and

1817
01:28:46,973 --> 01:28:51,572
Speaker 2: and and then has decided to deliberate further on what's

1818
01:28:51,612 --> 01:28:52,652
Speaker 2: come out the other end of that.

1819
01:28:54,013 --> 01:28:56,053
Speaker 11: Well, I think that's actually a really good use of

1820
01:28:56,093 --> 01:28:58,412
Speaker 11: the use of it all. Again, in the end, it

1821
01:28:58,532 --> 01:29:01,053
Speaker 11: still has to be a human, human check and we

1822
01:29:01,133 --> 01:29:04,492
Speaker 11: have to be conscious of of what of what the

1823
01:29:04,973 --> 01:29:08,812
Speaker 11: unintended consequences might be. But in a general sense, I

1824
01:29:08,853 --> 01:29:12,812
Speaker 11: think as the starting point court policy development, these talks

1825
01:29:12,812 --> 01:29:15,333
Speaker 11: are going to be fantastic and they're going to reduce.

1826
01:29:15,013 --> 01:29:15,732
Speaker 12: The cost and.

1827
01:29:17,933 --> 01:29:20,852
Speaker 3: Oh, I think, yeah, we just lost you there for

1828
01:29:20,893 --> 01:29:23,053
Speaker 3: a bit, rusty. Thank you very much though for your call.

1829
01:29:23,093 --> 01:29:25,692
Speaker 3: Really appreciate it. Oh eight hundred eighty ten eighty. How

1830
01:29:25,692 --> 01:29:27,932
Speaker 3: do you feel about AI use and government? Should our

1831
01:29:27,973 --> 01:29:31,372
Speaker 3: politicians be asking chech GPT for advice on policy? Love

1832
01:29:31,412 --> 01:29:32,733
Speaker 3: to hear your thoughts.

1833
01:29:32,492 --> 01:29:35,093
Speaker 2: Hey, guys. It depends on the political parties involved. I'm

1834
01:29:35,093 --> 01:29:37,892
Speaker 2: sure National Act in New Zealand First are using AI

1835
01:29:37,933 --> 01:29:41,812
Speaker 2: wisely to improve working of the government. Labour Greens and

1836
01:29:41,812 --> 01:29:44,932
Speaker 2: Tapatimari will be using it poorly.

1837
01:29:45,173 --> 01:29:48,133
Speaker 3: Okay, okay, right, thank you very much. Keep those techs

1838
01:29:48,173 --> 01:29:49,852
Speaker 3: coming through. On nineteen ninety two.

1839
01:29:49,772 --> 01:29:51,213
Speaker 2: What a partisan response.

1840
01:29:51,133 --> 01:29:53,732
Speaker 3: Very partisan. Oh eight hundred eighty ten eighty is the

1841
01:29:53,812 --> 01:29:54,333
Speaker 3: number to call.

1842
01:29:54,372 --> 01:30:02,452
Speaker 1: Love to hear from you, Matt Heathen, Tyler Adams afternoons

1843
01:30:02,452 --> 01:30:04,372
Speaker 1: call oh eight hundred eighty ten eighty.

1844
01:30:04,412 --> 01:30:05,692
Speaker 4: On news Talk ZB.

1845
01:30:05,812 --> 01:30:09,213
Speaker 3: Twenty three past three, we are talking about increasing use

1846
01:30:09,293 --> 01:30:10,733
Speaker 3: of AI by politicians.

1847
01:30:10,853 --> 01:30:12,933
Speaker 2: When was the last time a politician came up with

1848
01:30:13,013 --> 01:30:16,012
Speaker 2: a policy that made you go wow in a good way?

1849
01:30:16,133 --> 01:30:19,012
Speaker 2: Says this text. Unfortunately, our so called leaders aren't really

1850
01:30:19,053 --> 01:30:23,532
Speaker 2: the cream of humanity. Mostly they're competent middle class managers,

1851
01:30:23,572 --> 01:30:26,892
Speaker 2: so they probably should be assessing all the assistance they

1852
01:30:26,933 --> 01:30:30,372
Speaker 2: can get hold of. I'm not sure about Winston though,

1853
01:30:30,492 --> 01:30:33,093
Speaker 2: to be honest regards Stephen.

1854
01:30:32,973 --> 01:30:36,293
Speaker 3: Yeah, I mean that is a fair point. Is if

1855
01:30:36,692 --> 01:30:39,892
Speaker 3: artificial intelligence is at the point now where it can

1856
01:30:40,133 --> 01:30:44,893
Speaker 3: give unbiased information and look, you mentioned the hallucination situation.

1857
01:30:45,532 --> 01:30:47,213
Speaker 3: But if it gets to a point where it is

1858
01:30:47,293 --> 01:30:50,572
Speaker 3: purely logical and it sees all the angles and it

1859
01:30:50,652 --> 01:30:53,012
Speaker 3: leaves a motion at the door when we're talking about

1860
01:30:53,013 --> 01:30:56,853
Speaker 3: government policy for the betterment of as many people as possible,

1861
01:30:57,093 --> 01:30:59,572
Speaker 3: does it not make sense that AI gets brought into

1862
01:30:59,572 --> 01:31:00,492
Speaker 3: that picture in some way.

1863
01:31:00,732 --> 01:31:03,532
Speaker 2: Yeah, I mean absolutely if it's lowing the administrative work.

1864
01:31:03,652 --> 01:31:06,452
Speaker 2: I mean the question is creating policy really whether you

1865
01:31:06,492 --> 01:31:08,933
Speaker 2: want it to be involved in creating policy when you

1866
01:31:08,933 --> 01:31:12,452
Speaker 2: talk about those AI allusions. I watched this video the

1867
01:31:12,452 --> 01:31:16,532
Speaker 2: other day and it was this British journalist who he

1868
01:31:16,572 --> 01:31:19,852
Speaker 2: was using AI to make transcripts of his podcast right,

1869
01:31:20,093 --> 01:31:22,372
Speaker 2: and he got the date slightly wrong into it entering it.

1870
01:31:22,412 --> 01:31:27,173
Speaker 2: I'm not sure what happened, but the podcast listed all

1871
01:31:27,173 --> 01:31:30,972
Speaker 2: the podcasts the AI chet GPT list all the podcasts

1872
01:31:31,013 --> 01:31:32,973
Speaker 2: he'd done, and one of them was the one that

1873
01:31:32,973 --> 01:31:35,213
Speaker 2: he hadn't done. It was in a future date, and

1874
01:31:35,333 --> 01:31:37,732
Speaker 2: he asked the ch T about it and said, yes,

1875
01:31:37,812 --> 01:31:40,652
Speaker 2: you have done it, and then to back that up,

1876
01:31:40,692 --> 01:31:45,133
Speaker 2: it generated an entire podcast that he hadn't done because

1877
01:31:45,173 --> 01:31:46,852
Speaker 2: it was from a future date. Yeah, and it was

1878
01:31:46,853 --> 01:31:49,412
Speaker 2: actually pretty good podcast. But the guy was saying going

1879
01:31:49,452 --> 01:31:52,652
Speaker 2: back to saying, no, you've made up this podcast. I

1880
01:31:52,692 --> 01:31:53,652
Speaker 2: never did that podcast.

1881
01:31:53,692 --> 01:31:55,852
Speaker 3: That is fascinating. Thanks for the idea, but it hasn't

1882
01:31:55,853 --> 01:31:56,293
Speaker 3: happened yet.

1883
01:31:56,333 --> 01:31:57,933
Speaker 2: Yeah, it was a good podcast though it was just

1884
01:31:57,973 --> 01:32:00,692
Speaker 2: from a future date. Love that Hey, guys. AI is

1885
01:32:00,732 --> 01:32:02,452
Speaker 2: a great tool if you already know what you're doing.

1886
01:32:02,532 --> 01:32:04,932
Speaker 2: For example, the doctor that was using AI mentioned before

1887
01:32:05,013 --> 01:32:07,333
Speaker 2: probably used that in a fearing narrow fashion to find

1888
01:32:07,372 --> 01:32:10,933
Speaker 2: out some specific quite different different to Joe public diagnosing

1889
01:32:10,973 --> 01:32:11,892
Speaker 2: and treating illnesses.

1890
01:32:12,013 --> 01:32:16,372
Speaker 3: Cheers Nick, Yeah, Mark, what's your thoughts about AI use

1891
01:32:16,492 --> 01:32:17,452
Speaker 3: by politicians?

1892
01:32:18,492 --> 01:32:21,692
Speaker 21: No, I think it's a brilliant tool. But as far

1893
01:32:21,732 --> 01:32:27,772
Speaker 21: as using it for for local government and the government department,

1894
01:32:27,812 --> 01:32:30,492
Speaker 21: to be nice to get some form of intelligence in there,

1895
01:32:30,492 --> 01:32:31,013
Speaker 21: wouldn't it?

1896
01:32:32,293 --> 01:32:32,532
Speaker 18: MH.

1897
01:32:34,133 --> 01:32:37,492
Speaker 21: The experience I had, I asked you a question. I

1898
01:32:39,213 --> 01:32:41,572
Speaker 21: had an upcoming discussion, and I thought, what would happen

1899
01:32:41,572 --> 01:32:44,732
Speaker 21: if we had cement to this product? What happens to

1900
01:32:44,732 --> 01:32:49,892
Speaker 21: the properties of it? And Chechi you gave him deck response, sing,

1901
01:32:49,933 --> 01:32:54,732
Speaker 21: you should should not do that. It'll make more brother,

1902
01:32:54,812 --> 01:32:56,333
Speaker 21: it'll do this and this and this and this and

1903
01:32:56,372 --> 01:32:58,932
Speaker 21: the cave some really really good reasons why not. And

1904
01:32:58,933 --> 01:33:02,693
Speaker 21: then I asked it, how can I improve the properties

1905
01:33:02,692 --> 01:33:05,532
Speaker 21: of this product? And it said add cement.

1906
01:33:06,333 --> 01:33:13,093
Speaker 7: Hello, yeah, yeah, And then that's the answers you're going

1907
01:33:13,133 --> 01:33:13,372
Speaker 7: to get.

1908
01:33:13,412 --> 01:33:19,133
Speaker 21: It's not it's not doesn't have the human run a

1909
01:33:19,213 --> 01:33:22,852
Speaker 21: sensible bit of thought through a process to excrete see

1910
01:33:22,853 --> 01:33:26,813
Speaker 21: if it makes sense, and it just gives you answers

1911
01:33:27,133 --> 01:33:30,412
Speaker 21: that you based probably cheating off other people's homework to

1912
01:33:30,452 --> 01:33:35,612
Speaker 21: a large group by scaring the web for answers. But yeah,

1913
01:33:35,612 --> 01:33:36,733
Speaker 21: I think it's dangerous.

1914
01:33:37,452 --> 01:33:41,173
Speaker 2: Yeah, I mean all AI is doing is well to

1915
01:33:41,253 --> 01:33:43,812
Speaker 2: make it really simple in the land large language models.

1916
01:33:43,853 --> 01:33:46,892
Speaker 2: Is it's predicting what statistically is most likely to be

1917
01:33:47,013 --> 01:33:51,812
Speaker 2: the next word or what do they call them node

1918
01:33:51,893 --> 01:33:54,412
Speaker 2: or whatever, So they break it down so it is

1919
01:33:54,452 --> 01:33:58,492
Speaker 2: all fed from the past. So you know, is it

1920
01:33:58,572 --> 01:34:03,492
Speaker 2: actually being inventive or creative. It's hard to I'm not sure.

1921
01:34:04,053 --> 01:34:07,532
Speaker 2: I mean, you know, you might get what is the

1922
01:34:07,532 --> 01:34:12,972
Speaker 2: most likely policy to be employed from previous policies?

1923
01:34:13,772 --> 01:34:17,692
Speaker 21: Yeah, or the most commonly Yes, I can answer to

1924
01:34:17,732 --> 01:34:19,852
Speaker 21: a question is what will give you whether they're question

1925
01:34:19,973 --> 01:34:20,692
Speaker 21: is right or wrong?

1926
01:34:21,053 --> 01:34:24,732
Speaker 2: Yes, I mean I definitely a deal struggles to deal

1927
01:34:24,732 --> 01:34:26,692
Speaker 2: with sarcasm and humor.

1928
01:34:28,853 --> 01:34:31,572
Speaker 3: It just can't go, don't we all.

1929
01:34:31,933 --> 01:34:37,492
Speaker 2: Yeah, so you definitely can't trust it. But but if

1930
01:34:37,732 --> 01:34:43,293
Speaker 2: you say the Swiss Prime minister and it's just asking

1931
01:34:43,333 --> 01:34:46,093
Speaker 2: you questions that you might not have thought of. So

1932
01:34:46,133 --> 01:34:48,013
Speaker 2: it's reading through and it's going these are the kind

1933
01:34:48,013 --> 01:34:49,452
Speaker 2: of questions. So if you're going, what do you think,

1934
01:34:49,492 --> 01:34:52,133
Speaker 2: you know, what are some problems with us? Then maybe

1935
01:34:52,133 --> 01:34:54,732
Speaker 2: it's just asking generic questions that need to be asked

1936
01:34:54,772 --> 01:34:56,772
Speaker 2: that he might not have might not have thought of.

1937
01:34:56,853 --> 01:34:59,812
Speaker 2: And as long as he then answers those questions himself,

1938
01:34:59,893 --> 01:35:03,532
Speaker 2: then isn't it surely just another tool to to you know,

1939
01:35:04,412 --> 01:35:06,213
Speaker 2: to see what he actually really believes about it and

1940
01:35:06,253 --> 01:35:08,732
Speaker 2: if there are any fishocks in the problem.

1941
01:35:08,973 --> 01:35:12,732
Speaker 21: Yeah. Well, I had a massive conversation with check GPT

1942
01:35:12,853 --> 01:35:16,052
Speaker 21: the other day and I seeded it with the answers

1943
01:35:16,093 --> 01:35:18,732
Speaker 21: that I wanted to go. If you've got to tell

1944
01:35:18,732 --> 01:35:24,012
Speaker 21: me the truth, give the answer in one word, if

1945
01:35:24,093 --> 01:35:28,093
Speaker 21: you know the answer, give me the correct answer. If

1946
01:35:28,133 --> 01:35:33,452
Speaker 21: you don't know the answer, say I don't know, if

1947
01:35:34,213 --> 01:35:37,412
Speaker 21: you can't tell me the answer, or I'm not allowed

1948
01:35:37,412 --> 01:35:40,892
Speaker 21: to tell me the answer, to say another word. In fact, no,

1949
01:35:41,133 --> 01:35:46,132
Speaker 21: I use words say Pluto or Mars or Venus for

1950
01:35:46,452 --> 01:35:50,293
Speaker 21: Fluda for a correct yes, Mars for a known, Venus

1951
01:35:50,333 --> 01:35:53,492
Speaker 21: for I can't tell you because sort of thing, And

1952
01:35:54,652 --> 01:35:58,372
Speaker 21: it sees it couldn't tell me a lot of things.

1953
01:35:58,452 --> 01:36:02,372
Speaker 21: Am I being watched? Yeah, as someone watching this conversation

1954
01:36:03,053 --> 01:36:06,213
Speaker 21: and it gave me the I'm not allowed to tell

1955
01:36:06,253 --> 01:36:11,692
Speaker 21: you answers, so tells me that that our conversation is

1956
01:36:11,732 --> 01:36:15,652
Speaker 21: being monitored. Well, you're able to be seen if if

1957
01:36:15,772 --> 01:36:16,932
Speaker 21: wanted to be seen.

1958
01:36:16,732 --> 01:36:16,973
Speaker 20: You know.

1959
01:36:17,812 --> 01:36:22,612
Speaker 21: So, if I'm a politician and I'm putting government policy, yeah,

1960
01:36:22,652 --> 01:36:26,732
Speaker 21: potential government policy into check GVT or any other AI model,

1961
01:36:27,333 --> 01:36:31,053
Speaker 21: how do you know that that information is private? And

1962
01:36:31,452 --> 01:36:41,293
Speaker 21: basically this conversation confirmed me, in my biased opinion, that

1963
01:36:41,293 --> 01:36:44,853
Speaker 21: that it's not private, and so it worries.

1964
01:36:44,572 --> 01:36:48,452
Speaker 2: Me that will it would definitely be problem. I agree,

1965
01:36:48,492 --> 01:36:51,452
Speaker 2: it's it's it's not It doesn't seem very secure, especially

1966
01:36:51,492 --> 01:36:53,692
Speaker 2: since it's learning, you know that sort of does it

1967
01:36:53,772 --> 01:36:56,932
Speaker 2: learns off what you pile into it. I think there's

1968
01:36:56,933 --> 01:36:59,692
Speaker 2: some guide rails you can put around that, but you

1969
01:36:59,692 --> 01:37:02,972
Speaker 2: certainly wouldn't want to have your plan for attack from

1970
01:37:03,013 --> 01:37:05,093
Speaker 2: a military perspective.

1971
01:37:07,412 --> 01:37:07,612
Speaker 14: Chain.

1972
01:37:10,293 --> 01:37:13,572
Speaker 2: Yeah, exactly. All right, thank you so much for your call.

1973
01:37:13,652 --> 01:37:16,652
Speaker 3: Mark, Mark Ohight, hundred eighty ten eighty is the number

1974
01:37:16,652 --> 01:37:19,293
Speaker 3: of call. How do you feel about government utilizing AI

1975
01:37:19,612 --> 01:37:22,333
Speaker 3: and policy decision or general Edmund really can to get

1976
01:37:22,372 --> 01:37:22,812
Speaker 3: your thoughts.

1977
01:37:22,893 --> 01:37:25,852
Speaker 2: I'm looking here at the public service artificial Intelligence Framework

1978
01:37:25,933 --> 01:37:30,132
Speaker 2: adopt so the vision adopt AI responsibility responsibly to modernize

1979
01:37:30,173 --> 01:37:32,852
Speaker 2: public services and deliver better outcomes for all New Zealanders.

1980
01:37:34,293 --> 01:37:39,612
Speaker 2: Then it goes principles inclusive sustainable development, human centered values,

1981
01:37:40,652 --> 01:37:48,213
Speaker 2: transparency and explainability. It's a strange word, safety and security, accountability.

1982
01:37:48,612 --> 01:37:51,053
Speaker 3: That sounds all good. But can AI do all of

1983
01:37:51,053 --> 01:37:51,612
Speaker 3: those things?

1984
01:37:51,853 --> 01:37:53,492
Speaker 2: YEP, I don't know, can it?

1985
01:37:53,772 --> 01:37:54,012
Speaker 19: Yeah?

1986
01:37:54,133 --> 01:37:56,492
Speaker 2: This is just yeah, I mean, this is a really

1987
01:37:56,532 --> 01:37:58,973
Speaker 2: interesting document and it's very very complicated. I might just

1988
01:37:58,973 --> 01:38:01,532
Speaker 2: put it through chet GPT. So can give me the basics?

1989
01:38:01,933 --> 01:38:03,972
Speaker 3: Oh, one hundred eighty ten eighty is the number to call.

1990
01:38:04,013 --> 01:38:05,852
Speaker 3: We got headlines with Wendy coming up.

1991
01:38:08,412 --> 01:38:11,372
Speaker 17: Talks at the headlines with blue bubble taxis. There's no

1992
01:38:11,492 --> 01:38:14,972
Speaker 17: trouble with a blue bubble. A Salvation Army analyst says

1993
01:38:15,013 --> 01:38:18,092
Speaker 17: the government promises to build the economy, need to target

1994
01:38:18,133 --> 01:38:23,173
Speaker 17: those struggling most with unemployment, the young and PACIFICA Auckland

1995
01:38:23,612 --> 01:38:26,973
Speaker 17: Auckland man Luke Daniel Rivers, also known as Mike Q,

1996
01:38:27,372 --> 01:38:30,692
Speaker 17: has been jailed for almost six years for fraud related

1997
01:38:30,732 --> 01:38:33,812
Speaker 17: to COVID relief schemes worth more than one point seven

1998
01:38:33,973 --> 01:38:37,932
Speaker 17: million dollars. An Auckland lawnmowing contractor claims he's been wrongfully

1999
01:38:37,973 --> 01:38:41,692
Speaker 17: accused of vandalizing Tepati Maori billboards when he was cleaning

2000
01:38:41,772 --> 01:38:46,093
Speaker 17: graffiti off his own damaged billboard. Police complaints have been laid.

2001
01:38:46,612 --> 01:38:49,532
Speaker 17: A growing chorus of voices are calling a Canterbury police

2002
01:38:49,572 --> 01:38:54,572
Speaker 17: to properly brief locals on restructure proposals reducing local rural staffing.

2003
01:38:54,973 --> 01:38:58,493
Speaker 17: Latest revelations include a plan to reopen new Brighton stations.

2004
01:38:58,532 --> 01:39:02,173
Speaker 17: Front Counter New Zealand's book sector has launched a five

2005
01:39:02,253 --> 01:39:07,013
Speaker 17: year strategic plan to prioritize promoting local authors, modernized copyright

2006
01:39:07,293 --> 01:39:11,372
Speaker 17: and look into risks like AI misuse. Chris Luckson's hosting

2007
01:39:11,612 --> 01:39:15,572
Speaker 17: Australian Counterpart to Anthony Alberizi and Queenstown this weekend at

2008
01:39:15,612 --> 01:39:19,333
Speaker 17: the Annual Australia New Zealand Leaders Meeting, and a significant

2009
01:39:19,612 --> 01:39:22,572
Speaker 17: Seven Traits of a Sociopath and how to Spot One

2010
01:39:22,732 --> 01:39:25,333
Speaker 17: in your Life Seymour at Enzaid Herald Premium.

2011
01:39:25,532 --> 01:39:28,133
Speaker 3: Now back to Matson Tyler, Thank you very much, Wendy,

2012
01:39:28,133 --> 01:39:30,892
Speaker 3: and we are talking about AI use in a government

2013
01:39:31,053 --> 01:39:34,293
Speaker 3: and by politicians. The Swiss Prime Minister has come under

2014
01:39:34,333 --> 01:39:37,052
Speaker 3: some heat for using chet GPT to run some policy

2015
01:39:37,093 --> 01:39:39,852
Speaker 3: ideas through to see what it thinks. And there's an

2016
01:39:39,933 --> 01:39:42,652
Speaker 3: MP in the UK that is using a clone AI

2017
01:39:42,652 --> 01:39:46,412
Speaker 3: bot to answer questions of its constituents. Of his constituents,

2018
01:39:46,412 --> 01:39:47,452
Speaker 3: I should say yeah.

2019
01:39:47,492 --> 01:39:52,412
Speaker 2: And the government is keen to employ artificial intelligence more

2020
01:39:52,452 --> 01:39:55,732
Speaker 2: and more in the public service. And there's no doubt

2021
01:39:55,772 --> 01:40:00,133
Speaker 2: that politicians will be shoving things through chat, GPT and

2022
01:40:00,173 --> 01:40:01,532
Speaker 2: GROC in New Zealand right now.

2023
01:40:01,572 --> 01:40:03,213
Speaker 3: Absolutely, And how do you feel about that? At eight

2024
01:40:03,213 --> 01:40:05,693
Speaker 3: one hundred and eighty ten eighty is the number.

2025
01:40:05,452 --> 01:40:07,932
Speaker 2: To call Colleen your thoughts.

2026
01:40:09,253 --> 01:40:15,333
Speaker 16: Hello, have you ever interacted with an AI phone system?

2027
01:40:15,412 --> 01:40:19,532
Speaker 3: I think I may have, but yeah, I'm not sure.

2028
01:40:19,572 --> 01:40:20,173
Speaker 3: Tell us more.

2029
01:40:21,372 --> 01:40:24,293
Speaker 16: I had an insurance claim for a broken wind screen

2030
01:40:24,812 --> 01:40:31,213
Speaker 16: and I dealt with the AI phone system. Drove me absolutely.

2031
01:40:32,173 --> 01:40:38,173
Speaker 16: It was so repetitive and so time consuming and so laborious.

2032
01:40:38,612 --> 01:40:41,492
Speaker 16: I kept having to give it the same information, and

2033
01:40:41,652 --> 01:40:44,613
Speaker 16: when I got to the end and answered the questions,

2034
01:40:45,173 --> 01:40:47,133
Speaker 16: it put me through to a person who went through

2035
01:40:47,133 --> 01:40:54,133
Speaker 16: them all again exactly exactly. I literally I timed it

2036
01:40:54,213 --> 01:40:57,133
Speaker 16: and it took eleven minutes for me to get through

2037
01:40:57,173 --> 01:40:59,652
Speaker 16: the AI part of it. And then I hit this lady,

2038
01:40:59,692 --> 01:41:01,612
Speaker 16: and I had to answer them all again, and I'm like,

2039
01:41:02,293 --> 01:41:05,333
Speaker 16: I actually said to her, why why are you torturing me?

2040
01:41:06,133 --> 01:41:11,093
Speaker 2: Honestly, that happens a lot, and I've been through this

2041
01:41:11,173 --> 01:41:12,892
Speaker 2: quite quite a lot now, So all those details blah

2042
01:41:12,893 --> 01:41:14,293
Speaker 2: blah blah blah, and then they go through and it's

2043
01:41:14,293 --> 01:41:17,412
Speaker 2: like it's all started again. And I wonder if it's

2044
01:41:17,532 --> 01:41:19,333
Speaker 2: just to give you something to do to feel like

2045
01:41:19,412 --> 01:41:22,253
Speaker 2: you're progressing while you're waiting in line, because if they

2046
01:41:22,253 --> 01:41:26,772
Speaker 2: don't have it, I'd rather.

2047
01:41:26,692 --> 01:41:30,053
Speaker 16: Listen to music, pipe music. And I'm thinking with it

2048
01:41:30,093 --> 01:41:34,612
Speaker 16: with it being used in government. AI learns by doing right.

2049
01:41:36,293 --> 01:41:39,892
Speaker 16: It learns from the experience of the process of whatever

2050
01:41:40,013 --> 01:41:42,972
Speaker 16: you put through it. So what if you who are

2051
01:41:42,973 --> 01:41:45,412
Speaker 16: we going to learn? Whose version of AI are we

2052
01:41:45,452 --> 01:41:49,253
Speaker 16: going to take the American right wing? Are we going

2053
01:41:49,293 --> 01:41:54,173
Speaker 16: to take the Scandinavian very liberal you know who? Whose

2054
01:41:54,213 --> 01:41:57,812
Speaker 16: policies are we going to homogenize to get ours or

2055
01:41:57,853 --> 01:42:00,093
Speaker 16: are we just going to let people do it and

2056
01:42:00,213 --> 01:42:02,213
Speaker 16: end up with things that are uniquely ours.

2057
01:42:02,532 --> 01:42:05,932
Speaker 2: Yeah, and that's the whole thing about AI. As it's

2058
01:42:06,133 --> 01:42:09,812
Speaker 2: coming up with its results, they have programmers putting in

2059
01:42:10,333 --> 01:42:14,692
Speaker 2: restrictions in guardrails around it to change the answers if

2060
01:42:14,692 --> 01:42:17,412
Speaker 2: they don't like the answers that they're getting. So in

2061
01:42:17,812 --> 01:42:21,132
Speaker 2: the end it becomes human biases get put in there anyway,

2062
01:42:21,173 --> 01:42:22,932
Speaker 2: and it's and it has the biases of what it's

2063
01:42:22,973 --> 01:42:27,213
Speaker 2: trained on as well. Exactly was talking the other day,

2064
01:42:27,253 --> 01:42:30,092
Speaker 2: he's so his his AI that he's in charge of GROC.

2065
01:42:30,213 --> 01:42:32,492
Speaker 2: I mean, he started open AI, which is chet GPT

2066
01:42:32,612 --> 01:42:36,253
Speaker 2: as well, but then he left that company and he's

2067
01:42:36,333 --> 01:42:39,652
Speaker 2: running GROC and he he in his words, he can't believe.

2068
01:42:39,893 --> 01:42:43,213
Speaker 2: He's very frustrated with how woke grockets compared to what

2069
01:42:43,253 --> 01:42:43,973
Speaker 2: he wants it to be.

2070
01:42:45,133 --> 01:42:48,492
Speaker 16: Yes, I know, and you know they when they started

2071
01:42:48,492 --> 01:42:52,133
Speaker 16: developing them, I have I have an X feeling about

2072
01:42:52,173 --> 01:42:55,213
Speaker 16: the ethics of it because part of the development of

2073
01:42:55,333 --> 01:43:00,012
Speaker 16: the programs was they actually resulted in some of the

2074
01:43:00,053 --> 01:43:03,733
Speaker 16: programs becoming so confused and frustrated that they self terminated.

2075
01:43:05,053 --> 01:43:05,532
Speaker 2: Is that right?

2076
01:43:05,772 --> 01:43:09,573
Speaker 16: I just think, oh no, no, no, no, sorry, Fatassic.

2077
01:43:10,173 --> 01:43:11,693
Speaker 16: It's the poor thing to suicide.

2078
01:43:11,732 --> 01:43:15,652
Speaker 2: You know, if you cool calling very good. It would

2079
01:43:15,652 --> 01:43:18,333
Speaker 2: be interesting if if that was the that was the

2080
01:43:18,412 --> 01:43:21,172
Speaker 2: end goal of all. You know, one day chet GPT's

2081
01:43:21,213 --> 01:43:23,052
Speaker 2: like I can't handle this too frustrating.

2082
01:43:23,093 --> 01:43:25,333
Speaker 3: You guys are absolutely insane. I can't deal with this.

2083
01:43:25,933 --> 01:43:29,852
Speaker 2: Just shuts down. Someone says, some was this text here

2084
01:43:29,933 --> 01:43:33,852
Speaker 2: It was saying yeah beer. This one says, come on, guys,

2085
01:43:33,893 --> 01:43:38,412
Speaker 2: have we learned nothing from terminator? Yeah? But yes, so

2086
01:43:38,412 --> 01:43:40,652
Speaker 2: they're saying there are many there are so many AI offerings.

2087
01:43:40,652 --> 01:43:43,293
Speaker 2: So government won't be using chet GPT, they will use

2088
01:43:43,333 --> 01:43:46,253
Speaker 2: a paid private vision. Yes, but that Swiss prime minister

2089
01:43:46,372 --> 01:43:47,293
Speaker 2: was using chet GPT.

2090
01:43:47,532 --> 01:43:49,612
Speaker 3: He loved it. Yeah, absolutely, So.

2091
01:43:49,572 --> 01:43:51,372
Speaker 2: You would think there would be some kind of high

2092
01:43:51,532 --> 01:43:57,333
Speaker 2: level advance, locked down governmental AI system that they were using.

2093
01:43:57,412 --> 01:43:58,933
Speaker 3: Yeah, not for the Swiss.

2094
01:43:58,612 --> 01:44:01,053
Speaker 2: But this Swiss poments he just have to through the

2095
01:44:01,053 --> 01:44:03,852
Speaker 2: same chat GPT that we're all using here at home.

2096
01:44:04,013 --> 01:44:06,532
Speaker 3: Yeah. It is twenty one to four oh eight hundred

2097
01:44:06,532 --> 01:44:08,492
Speaker 3: and eighty ten eighty is the number to call. What

2098
01:44:08,492 --> 01:44:10,333
Speaker 3: do you think about politicians using AI?

2099
01:44:11,612 --> 01:44:14,972
Speaker 1: Matt Heath Taylor Adams with you as your afternoon rolls

2100
01:44:15,013 --> 01:44:18,452
Speaker 1: on Matt Heath and Taylor Adams afternoons news talks.

2101
01:44:18,452 --> 01:44:19,452
Speaker 2: That'd be very good.

2102
01:44:19,492 --> 01:44:22,852
Speaker 3: Afternoon dude, is eighteen to four and we are talking

2103
01:44:22,853 --> 01:44:24,733
Speaker 3: about AI used by politicians.

2104
01:44:25,293 --> 01:44:27,892
Speaker 2: This Texasy is that lady on mortgage AI was not

2105
01:44:27,933 --> 01:44:30,972
Speaker 2: talking to proper AI, just telephone systems. Yeah. I mean

2106
01:44:31,013 --> 01:44:33,412
Speaker 2: there's a lot of things that we say AI but

2107
01:44:33,532 --> 01:44:36,812
Speaker 2: aren't necessarily and when you're talking to a phone system,

2108
01:44:37,053 --> 01:44:43,972
Speaker 2: it's often just you know, quite simple pathways. You say something,

2109
01:44:44,492 --> 01:44:46,772
Speaker 2: it produces something else that pushes you to something else.

2110
01:44:47,093 --> 01:44:49,173
Speaker 3: Voice recognition rather than proper AI.

2111
01:44:49,293 --> 01:44:52,572
Speaker 2: Yeah, it's not a large language model, so it doesn't

2112
01:44:52,572 --> 01:44:54,892
Speaker 2: actually have very many variables that it can go to. Ye,

2113
01:44:55,053 --> 01:44:56,812
Speaker 2: you know, you're on the phone, it asks you this

2114
01:44:56,893 --> 01:44:59,612
Speaker 2: question and then records that information and then from that

2115
01:44:59,853 --> 01:45:03,892
Speaker 2: ask another question there. It's definitely AI voiced recognition. Yeah,

2116
01:45:03,933 --> 01:45:05,772
Speaker 2: out there, and that's why one of the reasons why

2117
01:45:05,853 --> 01:45:08,333
Speaker 2: voice recognition software is getting so incredible.

2118
01:45:08,492 --> 01:45:10,692
Speaker 3: Be good now absolutely, Oh eight hundred and eighty ten

2119
01:45:10,732 --> 01:45:12,772
Speaker 3: eighties a number to call, so welcome the show.

2120
01:45:14,093 --> 01:45:18,013
Speaker 22: Oh gooday guys, Yeah that was me. That's in that

2121
01:45:18,093 --> 01:45:19,452
Speaker 22: text about the mortgage.

2122
01:45:22,572 --> 01:45:22,812
Speaker 14: Yeah.

2123
01:45:22,973 --> 01:45:24,812
Speaker 22: Look, I spend a lot of time in the space

2124
01:45:25,253 --> 01:45:29,612
Speaker 22: well unfortunately but actually quite enjoy it. AIS and texts

2125
01:45:29,652 --> 01:45:31,093
Speaker 22: and to come a long way as we all know.

2126
01:45:32,692 --> 01:45:35,093
Speaker 22: And voice agents which that lady was talking to are

2127
01:45:35,133 --> 01:45:39,972
Speaker 22: absolutely incredible. But it's all down to that the builder

2128
01:45:40,013 --> 01:45:42,652
Speaker 22: of the AI technology. You can have a bad experience,

2129
01:45:42,652 --> 01:45:45,293
Speaker 22: so we can have a good experience. And if you're

2130
01:45:45,293 --> 01:45:49,772
Speaker 22: building the right knowledge around the AI, then you can

2131
01:45:49,812 --> 01:45:52,412
Speaker 22: have the best dancewers, probably better than you can get

2132
01:45:52,412 --> 01:45:54,732
Speaker 22: from a real person on the telephone, because it has

2133
01:45:54,812 --> 01:45:57,732
Speaker 22: all the data available at hand, or you can go

2134
01:45:57,772 --> 01:46:00,612
Speaker 22: and get the data for you. That's somebody on the

2135
01:46:00,612 --> 01:46:03,652
Speaker 22: phone can't get I get this all the time. You're trying,

2136
01:46:03,772 --> 01:46:06,772
Speaker 22: you know, a large dealership trying to get some parts,

2137
01:46:06,772 --> 01:46:09,053
Speaker 22: and you're on hold on weight, and all you want

2138
01:46:09,133 --> 01:46:11,573
Speaker 22: to know is that something is available or not available.

2139
01:46:12,333 --> 01:46:18,012
Speaker 22: And yeah, there are absolute replacement for many many telephone

2140
01:46:18,093 --> 01:46:21,253
Speaker 22: systems at least. And yeah, if you give the right

2141
01:46:21,293 --> 01:46:23,772
Speaker 22: context to a learning language model, you give it your

2142
01:46:23,772 --> 01:46:27,813
Speaker 22: own training, your own data, it can be absolutely amazing

2143
01:46:28,372 --> 01:46:31,093
Speaker 22: what you can get from an l l M. So

2144
01:46:31,133 --> 01:46:34,372
Speaker 22: it's all about the training and the building of the technology.

2145
01:46:34,893 --> 01:46:37,692
Speaker 22: And there are good and bad and it's I've seen

2146
01:46:37,732 --> 01:46:41,812
Speaker 22: bad implementations of AI, and I've seen excellent invitations of AI.

2147
01:46:42,013 --> 01:46:45,572
Speaker 22: And the mortgage one experience wasn't really an AI that

2148
01:46:45,572 --> 01:46:48,452
Speaker 22: that would just be some voice systems trying to gather

2149
01:46:49,013 --> 01:46:51,613
Speaker 22: you know, gather data. That's a bad experience.

2150
01:46:52,013 --> 01:46:54,972
Speaker 2: Yeah, it's interesting that you talk about invantry because I've run,

2151
01:46:55,492 --> 01:46:58,212
Speaker 2: you know, as a warehouse manager and ran inventory systems

2152
01:46:58,492 --> 01:47:01,652
Speaker 2: for a while. And so if you if you're if

2153
01:47:01,652 --> 01:47:04,652
Speaker 2: you're ringing through and you're asking if you have a product,

2154
01:47:05,013 --> 01:47:08,053
Speaker 2: it's only the system only knows what's been plugged into

2155
01:47:08,053 --> 01:47:11,133
Speaker 2: the sea stem, right, so you know, everyone knows it's

2156
01:47:11,213 --> 01:47:14,293
Speaker 2: running inventory. It says there's definitely one in the store,

2157
01:47:14,612 --> 01:47:16,572
Speaker 2: and then you go out into the store and it's

2158
01:47:16,612 --> 01:47:19,333
Speaker 2: not there. For whatever someone's nick it's been knocked off

2159
01:47:19,333 --> 01:47:22,253
Speaker 2: the shelf. It's you know, who knows a million reasons

2160
01:47:22,293 --> 01:47:25,612
Speaker 2: why it's disappeared. So there is a bit where you

2161
01:47:25,732 --> 01:47:28,372
Speaker 2: need to go to the other level of a person

2162
01:47:28,532 --> 01:47:31,452
Speaker 2: that just goes and comes back and goes, oh, no,

2163
01:47:31,532 --> 01:47:33,572
Speaker 2: we don't have it. I mean, you know, it's been

2164
01:47:33,612 --> 01:47:35,652
Speaker 2: another times when I've been sent to stores so I

2165
01:47:35,692 --> 01:47:36,933
Speaker 2: want to buy a product, they go, we don't have

2166
01:47:36,973 --> 01:47:38,852
Speaker 2: it here, but we've got the version out at Sylvia

2167
01:47:38,893 --> 01:47:40,932
Speaker 2: Park and you drive out there and you get there

2168
01:47:40,933 --> 01:47:42,892
Speaker 2: and they go, oh, it says we've got one on

2169
01:47:42,933 --> 01:47:44,133
Speaker 2: the system, but we don't.

2170
01:47:45,812 --> 01:47:49,492
Speaker 22: Yeah, that's that's not AI. That's just support that.

2171
01:47:50,293 --> 01:47:52,452
Speaker 2: What I'm saying is the AI can only deal with

2172
01:47:52,492 --> 01:47:54,293
Speaker 2: the information that's plugged in. So if you've got an

2173
01:47:54,293 --> 01:47:57,772
Speaker 2: inventory system, if it's being told that it has that

2174
01:47:58,133 --> 01:48:02,172
Speaker 2: in stock, that's only data. It's not necessarily directly related

2175
01:48:02,213 --> 01:48:05,133
Speaker 2: to reality. If you see what I'm saying for Yeah, no.

2176
01:48:05,093 --> 01:48:08,212
Speaker 22: I absolutely agree. But the AI could ask other questions,

2177
01:48:08,372 --> 01:48:11,012
Speaker 22: could say, would you like it delivered? What's your address?

2178
01:48:12,253 --> 01:48:13,732
Speaker 22: You know we don't have we have one in store,

2179
01:48:13,853 --> 01:48:16,013
Speaker 22: it may not be in store. Would you prefer to

2180
01:48:16,013 --> 01:48:19,093
Speaker 22: have it delivered to you? Would you like us to

2181
01:48:19,133 --> 01:48:22,172
Speaker 22: send you an email over which store it actually is at?

2182
01:48:22,412 --> 01:48:25,293
Speaker 22: So you can do a lot more than just you know,

2183
01:48:25,333 --> 01:48:28,652
Speaker 22: talking to an operator. Just as you said, we've all

2184
01:48:28,652 --> 01:48:30,892
Speaker 22: been there. I've got one install book. Something can fined

2185
01:48:30,933 --> 01:48:32,412
Speaker 22: it because you didn't do a good stock take.

2186
01:48:32,652 --> 01:48:35,412
Speaker 3: Yeah. So what would you feel about this idea of

2187
01:48:35,532 --> 01:48:38,213
Speaker 3: the MP who's cloned themselves so it's an AI bot.

2188
01:48:38,253 --> 01:48:41,173
Speaker 3: People can contact this bot whenever they want and it

2189
01:48:41,173 --> 01:48:44,692
Speaker 3: gives them answers to basic information. Would you be okay

2190
01:48:44,692 --> 01:48:46,532
Speaker 3: with that? If a politician in New Zealand did that,

2191
01:48:46,652 --> 01:48:48,492
Speaker 3: and you want to know when your rubbish bins go

2192
01:48:48,492 --> 01:48:50,852
Speaker 3: out or you've got a pothole, then the AI bot

2193
01:48:50,973 --> 01:48:53,013
Speaker 3: might be able to give you as much information as

2194
01:48:53,013 --> 01:48:54,813
Speaker 3: it can that's on the council website.

2195
01:48:54,532 --> 01:48:57,452
Speaker 22: Right, absolutely, one hundred percent. I think it's great because

2196
01:48:57,452 --> 01:49:01,372
Speaker 22: it removes all the all the emotion out of it.

2197
01:49:01,372 --> 01:49:04,053
Speaker 22: It's just standing with facts. Right. So if you're give

2198
01:49:04,053 --> 01:49:07,093
Speaker 22: an AI accessed by an API, which is the way

2199
01:49:07,213 --> 01:49:10,253
Speaker 22: just to get data from very sources, and that sources

2200
01:49:10,293 --> 01:49:13,532
Speaker 22: of data are reliable, then the AI had everything in

2201
01:49:13,612 --> 01:49:16,532
Speaker 22: its hands to talk to rather than you know, talking

2202
01:49:16,572 --> 01:49:18,213
Speaker 22: to someone and operator, let me just go and find

2203
01:49:18,213 --> 01:49:20,012
Speaker 22: out for you or they look it up on Google

2204
01:49:20,133 --> 01:49:25,453
Speaker 22: or do something. Another thing, I think about the politics,

2205
01:49:25,532 --> 01:49:27,732
Speaker 22: the political side of AI. I think this is where

2206
01:49:27,732 --> 01:49:29,772
Speaker 22: it's going. We're going to see some huge change because

2207
01:49:30,093 --> 01:49:32,492
Speaker 22: there's a lot of identity politics going on. It's not

2208
01:49:32,492 --> 01:49:35,133
Speaker 22: necessarily about you know, let's say the quality of a

2209
01:49:35,133 --> 01:49:38,372
Speaker 22: policy or whether that MP has ever delivered anything in

2210
01:49:38,412 --> 01:49:40,652
Speaker 22: the past. They're going to do this, but we don't

2211
01:49:40,652 --> 01:49:44,293
Speaker 22: know if they ever have technology. AI is going to say, well,

2212
01:49:44,372 --> 01:49:46,932
Speaker 22: this MP says he's going to do you know whatever,

2213
01:49:46,973 --> 01:49:49,452
Speaker 22: that delivered these things, but it's actually he's never delivered

2214
01:49:49,452 --> 01:49:52,612
Speaker 22: anything in his life where you know, so it takes

2215
01:49:52,853 --> 01:49:56,293
Speaker 22: all the identity politics. That will take identity politics out

2216
01:49:56,293 --> 01:49:58,452
Speaker 22: of the equation. That's just deal with what have people

2217
01:49:58,452 --> 01:50:01,333
Speaker 22: actually done the past, what are their what KPIs have

2218
01:50:01,412 --> 01:50:04,133
Speaker 22: they delivered in and what the what's their policy?

2219
01:50:04,093 --> 01:50:08,092
Speaker 2: Ye you assume that this chat by they've they've loaded

2220
01:50:08,133 --> 01:50:12,812
Speaker 2: in all this politician's policy and then you're just asking

2221
01:50:12,893 --> 01:50:17,452
Speaker 2: what the policy is. So that's that is dependent on

2222
01:50:17,492 --> 01:50:21,333
Speaker 2: them putting the pop policy across enough thing. So for example, example,

2223
01:50:21,372 --> 01:50:24,333
Speaker 2: right now, the Labor Party doesn't have a lot of policy.

2224
01:50:24,372 --> 01:50:26,892
Speaker 2: They're holding off to the election to try and release

2225
01:50:26,933 --> 01:50:28,612
Speaker 2: it and they don't want to get in trouble in

2226
01:50:28,732 --> 01:50:31,452
Speaker 2: due time or whatever you know as a policy to

2227
01:50:31,452 --> 01:50:34,133
Speaker 2: try and get elected. Right, So if you if the

2228
01:50:34,213 --> 01:50:37,973
Speaker 2: Labor Party chat bot wouldn't be very helpful, would it

2229
01:50:38,053 --> 01:50:39,572
Speaker 2: because they don't have any policy yet?

2230
01:50:40,572 --> 01:50:43,333
Speaker 22: No? No, But then but then again you see that

2231
01:50:43,532 --> 01:50:46,012
Speaker 22: comes down to the prompting. So you know, the way

2232
01:50:46,053 --> 01:50:50,852
Speaker 22: you build the personality, like the guardrails, i'd say what

2233
01:50:51,093 --> 01:50:53,333
Speaker 22: the AI can and can't say that you can't make

2234
01:50:53,412 --> 01:50:57,013
Speaker 22: up things if you know, AIS can't hallucinate. But the

2235
01:50:57,013 --> 01:51:00,093
Speaker 22: way I describe leaving an English models to people is

2236
01:51:00,173 --> 01:51:02,532
Speaker 22: just imagine a blank canvas and then you feed it.

2237
01:51:02,612 --> 01:51:03,093
Speaker 7: Let's say I.

2238
01:51:03,133 --> 01:51:06,612
Speaker 22: Don't know a BMW car manual on a five series something.

2239
01:51:06,652 --> 01:51:09,572
Speaker 22: That's all it knows. Well, know that inside and out

2240
01:51:09,572 --> 01:51:11,972
Speaker 22: and back to front, so you can ask it, you know, questions.

2241
01:51:11,973 --> 01:51:17,293
Speaker 22: It won't know anything about you know, greenhouse greenhouse, greenhouse

2242
01:51:17,293 --> 01:51:20,412
Speaker 22: gases or anything. It'll only know the information that's given.

2243
01:51:20,652 --> 01:51:23,133
Speaker 22: So then if you're feeding it with policies, like you know,

2244
01:51:23,213 --> 01:51:27,133
Speaker 22: good policy documents and then you know legislation except around it,

2245
01:51:27,253 --> 01:51:30,972
Speaker 22: it'll talk precisely around that and accurately around it rather

2246
01:51:31,053 --> 01:51:34,452
Speaker 22: than make things up. And you know, it's not a

2247
01:51:34,492 --> 01:51:39,293
Speaker 22: person you're talking to with emotions which people can be

2248
01:51:39,372 --> 01:51:41,293
Speaker 22: cited to. I like to look at her, and I

2249
01:51:41,372 --> 01:51:43,013
Speaker 22: like to look at her. I like to stand with

2250
01:51:43,053 --> 01:51:46,212
Speaker 22: that voice, you know, So it comes down to facts

2251
01:51:46,293 --> 01:51:48,333
Speaker 22: rather than just you know the person.

2252
01:51:49,253 --> 01:51:51,093
Speaker 3: But then the other side of the coin was the

2253
01:51:51,093 --> 01:51:54,012
Speaker 3: Swiss Prime Minister using chet GPT to get some second

2254
01:51:54,093 --> 01:51:58,173
Speaker 3: second opinions. But the problem with that is, arguably it

2255
01:51:58,253 --> 01:52:00,532
Speaker 3: is excessing if you ask it for pros and cons

2256
01:52:00,532 --> 01:52:03,652
Speaker 3: of a particular policy he's thinking about. Arguably it is

2257
01:52:03,732 --> 01:52:07,892
Speaker 3: colating other people's opinions that have written about that particular policy.

2258
01:52:08,173 --> 01:52:09,932
Speaker 3: So he might see that as a corner or a

2259
01:52:09,933 --> 01:52:12,692
Speaker 3: pro because that argued against that it's going to work.

2260
01:52:12,933 --> 01:52:14,972
Speaker 3: But that is still human opinion, isn't it that chet

2261
01:52:15,053 --> 01:52:18,532
Speaker 3: GPT has collated that is it is.

2262
01:52:18,532 --> 01:52:21,412
Speaker 22: But what i'd look at that we don't know if

2263
01:52:21,412 --> 01:52:24,492
Speaker 22: he actually copied it the baits out of whatever it's said.

2264
01:52:25,213 --> 01:52:27,692
Speaker 22: Sometimes you can use these our lambs to do what

2265
01:52:27,772 --> 01:52:31,093
Speaker 22: I call scaffolding, to give you ideas and to make

2266
01:52:31,133 --> 01:52:33,133
Speaker 22: you think I actually hadn't thought about that out of

2267
01:52:33,133 --> 01:52:35,412
Speaker 22: that actually my thinking. So it might not be a

2268
01:52:35,532 --> 01:52:38,253
Speaker 22: literal context like you know, copy and paste out of it,

2269
01:52:38,532 --> 01:52:41,133
Speaker 22: but it might actually hadn't thought about that. It's a

2270
01:52:41,173 --> 01:52:44,012
Speaker 22: good idea. Maybe I'll know, twist it. So it provides,

2271
01:52:44,492 --> 01:52:46,732
Speaker 22: you know, thought provoking ideas that.

2272
01:52:46,692 --> 01:52:49,173
Speaker 2: You can't would say, what, what are some potential problems

2273
01:52:49,293 --> 01:52:53,853
Speaker 2: here that could happen and similar things you know, and policies,

2274
01:52:53,973 --> 01:52:56,492
Speaker 2: I mean, how widely different are policies from other policies

2275
01:52:56,492 --> 01:52:58,173
Speaker 2: that have been employed somewhere in the world. So you

2276
01:52:58,213 --> 01:53:01,333
Speaker 2: could just say to it, let's look at potential holes,

2277
01:53:01,372 --> 01:53:05,452
Speaker 2: potential unforeseen circumstance, because you know, so one of the

2278
01:53:05,492 --> 01:53:07,692
Speaker 2: main things that happens with laws when they go into

2279
01:53:07,692 --> 01:53:11,932
Speaker 2: there's a whole unforeseen things that happen are unforeseen results.

2280
01:53:11,973 --> 01:53:15,572
Speaker 2: What's the word I'm looking for there? And so if

2281
01:53:15,612 --> 01:53:17,572
Speaker 2: you're just going through you this has all been written up,

2282
01:53:17,572 --> 01:53:19,173
Speaker 2: it's pages and pages. I'm trying to get my head

2283
01:53:19,173 --> 01:53:21,412
Speaker 2: around it loaded in there? Can you can you see

2284
01:53:21,452 --> 01:53:23,013
Speaker 2: any problems? And then as long as you run it

2285
01:53:23,013 --> 01:53:27,173
Speaker 2: through a flesh brain afterwards and you're actually what you

2286
01:53:27,253 --> 01:53:29,692
Speaker 2: decide to do in the end, you know, as you say,

2287
01:53:29,812 --> 01:53:31,772
Speaker 2: it's not putting it in there and whatever comes out

2288
01:53:31,772 --> 01:53:33,732
Speaker 2: the other end you immediately put to the people and

2289
01:53:33,772 --> 01:53:36,533
Speaker 2: try and put into law. That would be a problem.

2290
01:53:36,612 --> 01:53:38,133
Speaker 2: But if you if you look at it and it

2291
01:53:38,173 --> 01:53:40,133
Speaker 2: can come up with some potential problems that you might

2292
01:53:40,133 --> 01:53:44,892
Speaker 2: have missed, ask some questions, some probing questions, then bloody

2293
01:53:44,893 --> 01:53:46,293
Speaker 2: great that makes sense.

2294
01:53:47,133 --> 01:53:51,732
Speaker 22: Yeah, I'll tell you something else that AI and coding

2295
01:53:51,732 --> 01:53:54,772
Speaker 22: and technology you know, software developers have created, you know,

2296
01:53:54,853 --> 01:53:58,173
Speaker 22: Roger the ome back anyhow, because that's where AI is

2297
01:53:58,293 --> 01:54:00,973
Speaker 22: really good. Because coding is literal, it's either that or

2298
01:54:01,013 --> 01:54:05,452
Speaker 22: it's not. It's sort of binary where common language. It's

2299
01:54:05,572 --> 01:54:10,012
Speaker 22: like it's there are variations of it. We're seeing software

2300
01:54:10,053 --> 01:54:13,293
Speaker 22: now because we're actually just using AI to write our

2301
01:54:13,412 --> 01:54:15,772
Speaker 22: code for as anymore. You know, software developers are sort

2302
01:54:15,772 --> 01:54:18,133
Speaker 22: of going to become a dying breed. It's good to

2303
01:54:18,173 --> 01:54:20,452
Speaker 22: have the knowledge still, and you know when you've when

2304
01:54:20,492 --> 01:54:24,293
Speaker 22: things really fall over to have a developer. But AI

2305
01:54:24,452 --> 01:54:28,692
Speaker 22: is building so much in the software now, quite scary

2306
01:54:29,372 --> 01:54:32,052
Speaker 22: seed developments on a daily basis which are worrying.

2307
01:54:33,333 --> 01:54:34,972
Speaker 2: Yeah, well, thank you so much for you call.

2308
01:54:35,013 --> 01:54:38,133
Speaker 3: Phil, appreciate it, Thank you very much. It is eight

2309
01:54:38,213 --> 01:54:41,972
Speaker 3: to four BAG very shortly here on News Talks EDB the.

2310
01:54:41,772 --> 01:54:45,733
Speaker 1: Big stories, the big issues, the big trends and everything

2311
01:54:45,772 --> 01:54:50,012
Speaker 1: in between. Matt Heath and Taylor Adams afternoons used Talks EDB.

2312
01:54:51,053 --> 01:54:51,812
Speaker 3: Five to four.

2313
01:54:52,253 --> 01:54:54,333
Speaker 2: I'll tell you what I don't have time to read

2314
01:54:54,373 --> 01:54:56,293
Speaker 2: it out here, but search this up for yourself. The

2315
01:54:56,293 --> 01:55:01,613
Speaker 2: Public Service Artificial Intelligence Framework. It's an interesting graft that

2316
01:55:01,653 --> 01:55:04,213
Speaker 2: you can find online. I think a lot of national

2317
01:55:04,253 --> 01:55:07,653
Speaker 2: voters might be quite surprised at some of the things

2318
01:55:07,653 --> 01:55:10,693
Speaker 2: that they're have put in there. Yeah, pretty progressive for

2319
01:55:10,772 --> 01:55:15,772
Speaker 2: their guidance. Yeah, on the use of AI and public services, Yeah,

2320
01:55:15,853 --> 01:55:18,973
Speaker 2: look that up the Public Service Artificial Intelligence Framework and

2321
01:55:19,093 --> 01:55:20,293
Speaker 2: download the graph.

2322
01:55:20,453 --> 01:55:22,613
Speaker 3: Yeah, it's interesting stuff. That's my reading tonight.

2323
01:55:22,772 --> 01:55:27,133
Speaker 2: Yeah. Oh it's very, very, very entertaining. Thanks so much

2324
01:55:27,133 --> 01:55:29,213
Speaker 2: for listening to the show. Everyone, Thanks so much for

2325
01:55:29,253 --> 01:55:31,173
Speaker 2: your calls and text. We've had a great time. The

2326
01:55:31,173 --> 01:55:33,012
Speaker 2: full show podcast will be up in about an hour.

2327
01:55:33,733 --> 01:55:35,573
Speaker 2: See if you missed that chat that we've just had

2328
01:55:35,573 --> 01:55:38,773
Speaker 2: over the last hour on the use of AI by governments,

2329
01:55:39,053 --> 01:55:42,973
Speaker 2: then then look that up and re listen to it.

2330
01:55:44,213 --> 01:55:46,333
Speaker 2: This piece there is so much misinformation. You do realize

2331
01:55:46,373 --> 01:55:48,133
Speaker 2: you can use AI offline? Yeah?

2332
01:55:48,133 --> 01:55:51,812
Speaker 3: Absolutely, yeah, absolutely? And what else?

2333
01:55:52,333 --> 01:55:54,653
Speaker 2: The Paul Holmes broadcasts for the Heather bo pc Ellen's

2334
01:55:54,693 --> 01:55:56,733
Speaker 2: up next. But Tyler, why am I playing this song

2335
01:55:56,772 --> 01:55:57,892
Speaker 2: by Journey right now?

2336
01:55:57,933 --> 01:56:00,333
Speaker 3: What a tune? Don't stop believing because we had that

2337
01:56:00,413 --> 01:56:03,132
Speaker 3: great chat for a couple of hours about people getting

2338
01:56:03,173 --> 01:56:07,172
Speaker 3: success later in life. Don't stop believing? Baby, What a tune?

2339
01:56:07,253 --> 01:56:09,573
Speaker 3: What tune? What is all right?

2340
01:56:09,733 --> 01:56:12,453
Speaker 2: As I said, thanks for listening. We'll be back tomorrow

2341
01:56:13,853 --> 01:56:16,333
Speaker 2: for more Matintile afternoons. Until then, give them a taste

2342
01:56:16,373 --> 01:56:17,132
Speaker 2: of Kiway from.

2343
01:56:17,013 --> 01:56:28,972
Speaker 5: Us I sing a head of snow Care room

2344
01:56:32,533 --> 01:56:35,133
Speaker 1: For more from News Talk st B listen live on

2345
01:56:35,253 --> 01:56:38,213
Speaker 1: air or online, and keep our shows with you wherever

2346
01:56:38,293 --> 01:56:40,853
Speaker 1: you go with our podcasts on iHeartRadio