1 00:00:00,520 --> 00:00:03,520 Speaker 1: I tell you, welcome to another installment of your favorite show, 2 00:00:03,960 --> 00:00:06,360 Speaker 1: The U Project. Craig, Anthony, Harp, Tippany and Cook's meant 3 00:00:06,400 --> 00:00:10,920 Speaker 1: to be here, but selfishly is not shure. We editing 4 00:00:10,920 --> 00:00:14,640 Speaker 1: it later on behalf of David Knight if where the 5 00:00:14,680 --> 00:00:20,280 Speaker 1: fuck are you? Anyway? The two important people are here, Gillaspo, 6 00:00:20,560 --> 00:00:22,959 Speaker 1: Good afternoon, my friend. How are you good? 7 00:00:23,000 --> 00:00:23,279 Speaker 2: How are you? 8 00:00:23,320 --> 00:00:26,160 Speaker 1: Greg? Did you grow up with a nickname? I feel 9 00:00:26,200 --> 00:00:30,120 Speaker 1: like you were probably AUSTRAIGHTI one eighty. 10 00:00:30,800 --> 00:00:33,440 Speaker 2: I probably had lots of nicknames, but I don't recall 11 00:00:33,520 --> 00:00:36,000 Speaker 2: what they were, and they probably weren't pleasant. I don't know. 12 00:00:37,600 --> 00:00:40,080 Speaker 1: Were you a I know this is not what we're 13 00:00:40,120 --> 00:00:43,480 Speaker 1: talking about, but we'll get there. Were you an academic kid, 14 00:00:43,479 --> 00:00:46,760 Speaker 1: a sporting kid? Were you intense? Were you a fucking 15 00:00:46,880 --> 00:00:49,440 Speaker 1: trouble maker? You can figure out what I was, it's 16 00:00:49,520 --> 00:00:51,040 Speaker 1: not hard, But what were you? 17 00:00:52,240 --> 00:00:58,520 Speaker 2: I was lucky enough to be fairly academically gifted to 18 00:00:58,560 --> 00:01:02,120 Speaker 2: the point where I didn't really have to do much, 19 00:01:03,240 --> 00:01:10,680 Speaker 2: and so I didn't really really yeah, so all the 20 00:01:10,720 --> 00:01:13,360 Speaker 2: way through, and it was a rude shock when I 21 00:01:13,400 --> 00:01:17,720 Speaker 2: got to university. Actually, and suddenly in university you're you're 22 00:01:17,760 --> 00:01:19,720 Speaker 2: there with a whole bunch of people who are similar 23 00:01:21,040 --> 00:01:25,200 Speaker 2: and suddenly you do have to do something or you're 24 00:01:25,319 --> 00:01:28,440 Speaker 2: just not going to pass. That was a bit of 25 00:01:28,440 --> 00:01:30,760 Speaker 2: a shock for me. And I know that sounds really 26 00:01:31,360 --> 00:01:34,920 Speaker 2: like egotistical or whatever, but it just it's the way 27 00:01:34,959 --> 00:01:38,720 Speaker 2: it was for me. And I was really really lucky 28 00:01:38,720 --> 00:01:40,679 Speaker 2: in the teachers I had because a lot of them 29 00:01:40,720 --> 00:01:45,480 Speaker 2: recognize that, and just to stop me being a pain 30 00:01:45,680 --> 00:01:48,600 Speaker 2: in class, which I would tend to be if I 31 00:01:48,720 --> 00:01:53,480 Speaker 2: got bored, they would find things to, you know, keep 32 00:01:53,480 --> 00:01:54,720 Speaker 2: me out of everyone's way. 33 00:01:54,920 --> 00:01:59,560 Speaker 1: I guess that's funny. This is I know, this wasn't 34 00:01:59,560 --> 00:02:01,400 Speaker 1: where we're to go, and we might end up where 35 00:02:01,400 --> 00:02:03,520 Speaker 1: we were going to go. But like, you're really involved 36 00:02:03,520 --> 00:02:07,240 Speaker 1: in education with free schools, dot organ all the other stuff. 37 00:02:07,240 --> 00:02:09,560 Speaker 1: You're great, other great stuff you do, and you've got 38 00:02:09,600 --> 00:02:15,000 Speaker 1: forty seven children of your own, And do you think 39 00:02:15,080 --> 00:02:19,000 Speaker 1: that being this is like almost a contrary question, but 40 00:02:19,720 --> 00:02:24,640 Speaker 1: do you think that sometimes being gifted is not the 41 00:02:24,720 --> 00:02:32,440 Speaker 1: advantage that it might seem like academically, intellectually, creatively, you know, 42 00:02:32,560 --> 00:02:36,560 Speaker 1: in a sporting sense, I feel like it's an advantage, 43 00:02:36,600 --> 00:02:40,519 Speaker 1: but for some people it ends up becoming a disadvantage. 44 00:02:41,240 --> 00:02:43,880 Speaker 2: Yeah, there's a really great quote about talent which I've 45 00:02:43,919 --> 00:02:47,200 Speaker 2: completely forgotten, which basically something like what you just said there, 46 00:02:47,240 --> 00:02:50,720 Speaker 2: which is and I feel that applies in most domains. 47 00:02:50,880 --> 00:02:54,920 Speaker 2: You know, most people have something that they're naturally quite 48 00:02:54,960 --> 00:02:57,799 Speaker 2: good at, or better than the average brown bear. And 49 00:03:00,960 --> 00:03:05,400 Speaker 2: in that something, I guess you either learn to use 50 00:03:05,480 --> 00:03:09,880 Speaker 2: that as an advantage and really excel at it's because 51 00:03:10,600 --> 00:03:12,720 Speaker 2: natural talent only takes you so far, you know, if 52 00:03:12,760 --> 00:03:15,400 Speaker 2: you imagine it sort of like where your talent is 53 00:03:15,400 --> 00:03:18,720 Speaker 2: at level nine and everyone else starts at level two. 54 00:03:19,120 --> 00:03:22,040 Speaker 2: Eventually they get to level nine with enough training and persistence, 55 00:03:23,000 --> 00:03:26,880 Speaker 2: and we'll go past you to level ten, eleven, and 56 00:03:26,919 --> 00:03:31,520 Speaker 2: twelve because they've had to work really really hard to 57 00:03:31,560 --> 00:03:34,200 Speaker 2: get to level nine and they know how to improve 58 00:03:34,240 --> 00:03:38,360 Speaker 2: from level nine, whereas you have always been at level 59 00:03:38,440 --> 00:03:41,200 Speaker 2: nine and you know nothing about getting to level ten. 60 00:03:41,880 --> 00:03:45,040 Speaker 2: So I think, yeah, it can be a distinct disadvantage 61 00:03:45,120 --> 00:03:47,560 Speaker 2: if you want to excel in the thing that you're 62 00:03:47,640 --> 00:03:48,800 Speaker 2: naturally talented at. 63 00:03:50,480 --> 00:03:54,840 Speaker 1: Yeah. I feel like like I was, I mean, I 64 00:03:55,800 --> 00:03:59,480 Speaker 1: wasn't dumb, but I certainly wasn't academically gifted, right, not 65 00:03:59,560 --> 00:04:04,200 Speaker 1: athleticly gifted, not physically gifted, and because I was so mediocre, 66 00:04:05,800 --> 00:04:08,840 Speaker 1: you know, fat kid morbidly ob saw that stuff because 67 00:04:08,880 --> 00:04:13,520 Speaker 1: I was so mediocre and I didn't want to be 68 00:04:13,920 --> 00:04:16,760 Speaker 1: like I took my time. But it was about fourteen 69 00:04:17,160 --> 00:04:20,760 Speaker 1: I had this epiphany, which probably had something to do 70 00:04:20,839 --> 00:04:25,760 Speaker 1: with testosterone and girls and social fucking isolation and a 71 00:04:25,760 --> 00:04:29,080 Speaker 1: whole bunch of things, and realizing that I was going 72 00:04:29,160 --> 00:04:31,400 Speaker 1: to fail school if I didn't actually do so. All 73 00:04:31,440 --> 00:04:34,880 Speaker 1: of these kind of things kind of intersected. But I 74 00:04:34,920 --> 00:04:40,560 Speaker 1: think for me, being mediocre was highly motivating because it 75 00:04:40,680 --> 00:04:44,520 Speaker 1: started with losing weight and I successfully changed my body 76 00:04:44,920 --> 00:04:49,200 Speaker 1: like dramatically in about four months. And while the physical 77 00:04:49,320 --> 00:04:51,640 Speaker 1: change was good, it kind of opened a door in 78 00:04:51,720 --> 00:04:55,320 Speaker 1: my brain that went, oh, what else could I do? 79 00:04:55,520 --> 00:04:59,320 Speaker 1: Like if I do work, make decisions, be committed, get 80 00:04:59,400 --> 00:05:04,320 Speaker 1: uncomfortable and keep getting uncomfortable, what else could I create? 81 00:05:04,400 --> 00:05:08,080 Speaker 1: So for me, it was like almost that default setting 82 00:05:08,120 --> 00:05:12,440 Speaker 1: of mediocrity was what gave me the drive to not 83 00:05:12,480 --> 00:05:14,320 Speaker 1: be mediocre. Does that make sense? 84 00:05:14,839 --> 00:05:17,400 Speaker 2: But it also taught you how to not be mediocre, 85 00:05:18,440 --> 00:05:21,920 Speaker 2: that you had to do things and get results, and 86 00:05:21,960 --> 00:05:24,600 Speaker 2: then when you want to move on from that level, 87 00:05:24,640 --> 00:05:26,720 Speaker 2: that you've achieved, then you know how to do it. 88 00:05:27,800 --> 00:05:29,960 Speaker 2: And I think that's kind of what happened to me 89 00:05:29,960 --> 00:05:31,839 Speaker 2: with university. Like I said, when I got to first 90 00:05:31,920 --> 00:05:35,000 Speaker 2: year UNI and then suddenly everyone else was as smart 91 00:05:35,040 --> 00:05:41,600 Speaker 2: as me. And you know, my undergraduate degree, my first 92 00:05:42,000 --> 00:05:45,320 Speaker 2: undergraduate degree, I think I came in with a solid 93 00:05:45,400 --> 00:05:48,600 Speaker 2: four average or something like that, you know, going with 94 00:05:48,640 --> 00:05:50,800 Speaker 2: the thing of four's open doors. I don't know if 95 00:05:50,839 --> 00:05:52,760 Speaker 2: it's the same everywhere in Australia to four as. 96 00:05:52,640 --> 00:05:54,640 Speaker 1: A path here, and. 97 00:05:57,279 --> 00:06:00,040 Speaker 2: That was a bit of shock to the system. But 98 00:06:00,240 --> 00:06:02,520 Speaker 2: by the time I went on to do higher degrees, 99 00:06:02,680 --> 00:06:05,560 Speaker 2: I'd kind of figured out what I should have known 100 00:06:05,600 --> 00:06:07,960 Speaker 2: all along and what probably other people who had to 101 00:06:08,000 --> 00:06:10,240 Speaker 2: work really hard to get to that level did know, 102 00:06:10,480 --> 00:06:14,200 Speaker 2: which is how you improve, how you learn more, how 103 00:06:14,240 --> 00:06:16,719 Speaker 2: you do things more efficiently, how you how you get better. 104 00:06:17,120 --> 00:06:20,360 Speaker 2: And so you know, by the time I did other degrees, 105 00:06:20,720 --> 00:06:23,120 Speaker 2: you know, I was able to get sevens and and 106 00:06:23,200 --> 00:06:27,520 Speaker 2: because I'd learned how to do that, whereas never before 107 00:06:27,520 --> 00:06:29,720 Speaker 2: in my life had I had to learn that. And 108 00:06:29,720 --> 00:06:32,719 Speaker 2: that's kind of what I mean is if if you 109 00:06:32,760 --> 00:06:36,040 Speaker 2: start from from what you're talking about, we start at 110 00:06:36,080 --> 00:06:39,400 Speaker 2: a place where you're saying, well, I don't think anything 111 00:06:39,400 --> 00:06:43,080 Speaker 2: about the way I look or my physique or whatever 112 00:06:43,320 --> 00:06:45,919 Speaker 2: is good enough, and I'm going to learn how to 113 00:06:45,960 --> 00:06:51,000 Speaker 2: improve it. And then you do. Then it becomes something 114 00:06:51,000 --> 00:06:54,839 Speaker 2: that you become really really good at improving, whereas someone 115 00:06:54,839 --> 00:06:58,760 Speaker 2: who's born looking like an Adonis and has to do 116 00:06:58,839 --> 00:07:01,240 Speaker 2: nothing is never going to learn. 117 00:07:02,680 --> 00:07:05,000 Speaker 1: Yeah, I went to school with some kids. Some of 118 00:07:05,040 --> 00:07:07,640 Speaker 1: them done great, have done great, But yeah, a few 119 00:07:07,640 --> 00:07:09,400 Speaker 1: that I went to school with do I bump into 120 00:07:09,440 --> 00:07:12,440 Speaker 1: every now and then? Who are these like athletic freaks? 121 00:07:13,440 --> 00:07:17,480 Speaker 1: You would not recognize them as athletic freaks now, no disrespect, 122 00:07:17,600 --> 00:07:19,600 Speaker 1: you know, And you're like, oh, because I used to 123 00:07:19,680 --> 00:07:21,680 Speaker 1: look at these guys and go, fuck, I wish I 124 00:07:21,720 --> 00:07:24,200 Speaker 1: look like that, you know, or I wish I had 125 00:07:24,640 --> 00:07:26,280 Speaker 1: that sporting ability. 126 00:07:25,920 --> 00:07:27,760 Speaker 2: Or yeah, I mean you see it all the time. 127 00:07:27,800 --> 00:07:30,680 Speaker 2: You see kids who are eighteen, nineteen, twenty years old 128 00:07:31,440 --> 00:07:35,200 Speaker 2: are absolutely perfect physiques that they have done absolutely nothing 129 00:07:35,200 --> 00:07:38,840 Speaker 2: to earn. They chugged down Coca cola and Mars bars 130 00:07:38,880 --> 00:07:43,160 Speaker 2: every second minute. They you know, seem to be completely 131 00:07:43,200 --> 00:07:47,200 Speaker 2: impervious to putting on weight. They have a sculpted physique 132 00:07:48,280 --> 00:07:51,800 Speaker 2: and are actually doing nothing to achieve that, and so 133 00:07:52,040 --> 00:07:55,400 Speaker 2: when the biochemistry catches up with them and their body 134 00:07:55,440 --> 00:08:00,760 Speaker 2: metabolism stabilizers in their twenties, suddenly they have no recipes 135 00:08:00,840 --> 00:08:04,840 Speaker 2: for how to change the inevitable and fairly swift decline 136 00:08:04,880 --> 00:08:09,960 Speaker 2: that occurs. Then. So whereas someone like you, perhaps who 137 00:08:10,080 --> 00:08:12,800 Speaker 2: worked to get to that point, understands the rules and 138 00:08:12,960 --> 00:08:14,440 Speaker 2: understands how to change them. 139 00:08:15,000 --> 00:08:17,440 Speaker 1: Well, I think, but for some people, like we have 140 00:08:17,480 --> 00:08:19,480 Speaker 1: a lot of people who listen to this show who 141 00:08:20,240 --> 00:08:22,560 Speaker 1: I think, they get a little bit inspired and motivated, 142 00:08:22,760 --> 00:08:25,680 Speaker 1: and not because I'm a great communicator or brilliant, but 143 00:08:25,800 --> 00:08:30,040 Speaker 1: because they go, ah, harps is normal and he failed this, 144 00:08:30,240 --> 00:08:31,800 Speaker 1: and he is. You know, for all the things that 145 00:08:31,840 --> 00:08:34,800 Speaker 1: I've tried, most of them didn't work. Some did you know, 146 00:08:34,880 --> 00:08:36,319 Speaker 1: even with this show, I've said. 147 00:08:36,160 --> 00:08:39,240 Speaker 2: It's true, but that's true of everything, and anyone who 148 00:08:39,280 --> 00:08:44,240 Speaker 2: tells your story there is they were an overnight success. Yeah, 149 00:08:44,280 --> 00:08:47,120 Speaker 2: probably one lotto, because I don't know of anyone else 150 00:08:47,160 --> 00:08:49,720 Speaker 2: that's an overnight success that hasn't put in twenty work, 151 00:08:49,880 --> 00:08:54,520 Speaker 2: twenty years of failure to get there. It's just it's 152 00:08:54,559 --> 00:08:55,880 Speaker 2: the persistent that succeed. 153 00:08:56,920 --> 00:09:00,600 Speaker 1: Yeah, well I did. Six hundred were fifth, ten hundred, 154 00:09:00,600 --> 00:09:04,120 Speaker 1: and I think today this episode is one five five eight. 155 00:09:05,280 --> 00:09:09,280 Speaker 1: And I did at least six hundred episodes that I 156 00:09:09,360 --> 00:09:12,600 Speaker 1: lost money on, even though the show was pretty good 157 00:09:12,800 --> 00:09:15,040 Speaker 1: and we were getting good feedback and it was growing. 158 00:09:15,720 --> 00:09:18,280 Speaker 1: But by the time I, you know, like I built 159 00:09:18,320 --> 00:09:20,240 Speaker 1: a studio at home, and I did all these things, 160 00:09:20,280 --> 00:09:22,920 Speaker 1: and I paid Melissa who works with me, and Tiff, 161 00:09:22,920 --> 00:09:25,959 Speaker 1: and you know, by the time we paid everything and everyone, 162 00:09:26,000 --> 00:09:29,720 Speaker 1: we were still losing money for like two years, which 163 00:09:29,760 --> 00:09:31,720 Speaker 1: is not the longest apprenticeship in the world. But we 164 00:09:31,760 --> 00:09:34,600 Speaker 1: did three shows before the U Project that didn't work. 165 00:09:34,640 --> 00:09:38,760 Speaker 1: So by the time this thing actually became sponsored and 166 00:09:39,360 --> 00:09:43,600 Speaker 1: consistently sponsored, in in the black and a consistently decent audience. 167 00:09:43,679 --> 00:09:46,400 Speaker 1: And yeah, it was four years. And people say to 168 00:09:46,440 --> 00:09:48,720 Speaker 1: me all the time, not all the time, but at 169 00:09:48,840 --> 00:09:51,720 Speaker 1: least fifty times I've had someone say to me, oh, yeah, 170 00:09:51,760 --> 00:09:56,640 Speaker 1: I tried a podcast, but you know, the market's just saturated. 171 00:09:56,720 --> 00:09:59,560 Speaker 1: It wasn't going to work. And they did, like the 172 00:09:59,600 --> 00:10:03,640 Speaker 1: average podcast does seven episodes. That's how long the average 173 00:10:03,679 --> 00:10:08,360 Speaker 1: podcast lasts. And when I ask people how many episodes 174 00:10:08,400 --> 00:10:13,000 Speaker 1: they did, it's never more than twenty or thirty. It's 175 00:10:13,080 --> 00:10:17,360 Speaker 1: usually less than ten, and I go, I did, including 176 00:10:17,400 --> 00:10:20,440 Speaker 1: my other you know, I did hundreds before it even 177 00:10:20,520 --> 00:10:25,640 Speaker 1: and it also I'll let the audience figure out whether 178 00:10:25,679 --> 00:10:27,320 Speaker 1: or not I'm any good at this. But before I 179 00:10:27,360 --> 00:10:28,960 Speaker 1: got to a point where I thought, well, I'm not 180 00:10:29,080 --> 00:10:35,199 Speaker 1: shit at this, it was still hundreds of episodes, you know, yeah, yeah, And. 181 00:10:35,200 --> 00:10:36,640 Speaker 2: I look, I could tell you the same story over 182 00:10:36,640 --> 00:10:38,880 Speaker 2: and over again, but I'll tell you a similar story 183 00:10:38,880 --> 00:10:43,880 Speaker 2: about my son James, who you've interviewed. I think, yeah, yeah, Now, James, 184 00:10:44,320 --> 00:10:47,959 Speaker 2: he does that clean bill side where he's rung every 185 00:10:47,960 --> 00:10:50,240 Speaker 2: doctor in Australia and every dentist in Australia, and he 186 00:10:50,280 --> 00:10:52,719 Speaker 2: does it every six months. And that's you know, that's 187 00:10:52,760 --> 00:10:57,280 Speaker 2: twenty thousand, thirty thousand, forty thousand people. He's paying people 188 00:10:57,320 --> 00:11:00,560 Speaker 2: to ring them. He's paying it out of his own pocket. 189 00:11:01,240 --> 00:11:04,240 Speaker 2: He's been doing it for four or five years and 190 00:11:05,040 --> 00:11:08,000 Speaker 2: losing money hand over fist. No one's getting him to 191 00:11:08,040 --> 00:11:11,280 Speaker 2: do it. He's basically providing a public service. And yet 192 00:11:11,880 --> 00:11:17,520 Speaker 2: suddenly people are asking him can they purchase his data 193 00:11:17,679 --> 00:11:21,520 Speaker 2: and can they purchase subscriptions to his data? And in 194 00:11:21,559 --> 00:11:26,120 Speaker 2: the last few months he started getting serious orders for 195 00:11:26,200 --> 00:11:29,520 Speaker 2: something that for the last four or five years, he 196 00:11:29,679 --> 00:11:32,719 Speaker 2: was losing serious amounts of his own hobby money in 197 00:11:33,160 --> 00:11:37,240 Speaker 2: essence running and it was just out of sheer persistence 198 00:11:37,920 --> 00:11:40,720 Speaker 2: of knowing that this is something that had value, knowing 199 00:11:40,760 --> 00:11:45,280 Speaker 2: that it needed to be done, and just persisting. That 200 00:11:45,360 --> 00:11:47,400 Speaker 2: got him too a point where now when his siblings 201 00:11:47,440 --> 00:11:50,560 Speaker 2: hear about him making yet another sale and you know, 202 00:11:50,720 --> 00:11:52,920 Speaker 2: making more in a sale than he makes than they 203 00:11:52,960 --> 00:11:57,840 Speaker 2: make in a year, you know, they're they're regarding him 204 00:11:57,880 --> 00:12:01,680 Speaker 2: as an overnight success when he's anything but because you've 205 00:12:01,720 --> 00:12:06,280 Speaker 2: had to really really grind and just like you with 206 00:12:06,320 --> 00:12:10,400 Speaker 2: the podcast, do that for so long. And the same 207 00:12:10,440 --> 00:12:13,080 Speaker 2: thing happened with me with the Sweet Poison books, which 208 00:12:13,080 --> 00:12:14,800 Speaker 2: were the first thing that sort of got me the 209 00:12:14,840 --> 00:12:18,120 Speaker 2: publishing deals and so on. Is for the first two 210 00:12:18,200 --> 00:12:19,960 Speaker 2: years of Sweet Poison being out there, I think they 211 00:12:20,000 --> 00:12:24,600 Speaker 2: sold maybe two thousand books. You know, there was word 212 00:12:24,640 --> 00:12:26,760 Speaker 2: of mouth, I guess, going around it. There was no 213 00:12:27,160 --> 00:12:32,200 Speaker 2: real evidence that anyone cared. And then suddenly, all of 214 00:12:32,240 --> 00:12:37,160 Speaker 2: a sudden it just took off and people would look 215 00:12:37,160 --> 00:12:40,200 Speaker 2: at that and say, overnight success. Sure, but what about 216 00:12:40,240 --> 00:12:41,599 Speaker 2: the three or four years you pore that? 217 00:12:42,800 --> 00:12:45,560 Speaker 1: What why do you I mean, just specific to that, 218 00:12:47,240 --> 00:12:49,240 Speaker 1: What do you think that was about? Like? Why did 219 00:12:49,320 --> 00:12:52,440 Speaker 1: that catch fire when it had been, you know, in 220 00:12:52,480 --> 00:12:56,400 Speaker 1: a holding pattern for so long. I think that there's 221 00:12:56,440 --> 00:12:59,960 Speaker 1: things going on under the surface that you can't see, 222 00:13:00,160 --> 00:13:03,240 Speaker 1: that you don't feel like. All I did was go 223 00:13:03,320 --> 00:13:06,000 Speaker 1: out and do every radio spot I could possibly think of, 224 00:13:06,200 --> 00:13:08,400 Speaker 1: you know, I'd pitch things left, right and center. 225 00:13:08,400 --> 00:13:12,600 Speaker 2: Every day. I got told told no more times than 226 00:13:12,600 --> 00:13:15,679 Speaker 2: you've had hot dinners, and it didn't stop me continuing 227 00:13:15,679 --> 00:13:18,559 Speaker 2: to ask. I'd write something about sugar, There'd be a 228 00:13:18,600 --> 00:13:20,560 Speaker 2: story in the media, there'd be something about something in 229 00:13:20,600 --> 00:13:23,760 Speaker 2: a canteen, people you know, eating this, that or the other, 230 00:13:24,080 --> 00:13:25,880 Speaker 2: and I'd pitch it at everyone I could think of, 231 00:13:25,960 --> 00:13:29,000 Speaker 2: and sometimes they do an interview with me, and there'd 232 00:13:29,040 --> 00:13:32,800 Speaker 2: be no obvious effect of that, because how would you know. 233 00:13:33,320 --> 00:13:36,800 Speaker 2: But I think what happens is under the surface enough 234 00:13:36,840 --> 00:13:41,560 Speaker 2: people here at enough times, from enough different people that 235 00:13:41,679 --> 00:13:46,560 Speaker 2: it suddenly translates into an obvious movement. 236 00:13:47,280 --> 00:13:52,400 Speaker 1: Yes, yeah, yeah, it's funny how you think. I mean, 237 00:13:52,440 --> 00:13:54,199 Speaker 1: we have these I know, we're not talking about our 238 00:13:54,200 --> 00:13:58,480 Speaker 1: intended topic. Fuck it, it's funny how you have these 239 00:13:58,559 --> 00:14:00,839 Speaker 1: ideas of what will work and what won't and how 240 00:14:00,920 --> 00:14:06,480 Speaker 1: things might transpire. I did a I was like fifteen 241 00:14:06,559 --> 00:14:08,920 Speaker 1: years ago. Now I did a maybe twelve years ago. 242 00:14:08,960 --> 00:14:13,000 Speaker 1: I've done a few random interviews, probably like yourself on TV. 243 00:14:13,120 --> 00:14:15,720 Speaker 1: I've worked in radio a lot, but bits and pieces 244 00:14:15,760 --> 00:14:18,520 Speaker 1: of Telly. And I got interviewed on Channel ten on 245 00:14:18,640 --> 00:14:21,280 Speaker 1: the Morning show with David and Kim. It was it 246 00:14:21,320 --> 00:14:23,960 Speaker 1: was a national show. I think I got into. I 247 00:14:23,960 --> 00:14:25,800 Speaker 1: don't even know what the topic was, but it was 248 00:14:26,120 --> 00:14:28,680 Speaker 1: on my at that stage. It was very health fitness 249 00:14:28,720 --> 00:14:33,120 Speaker 1: exercise based. I did that and then after I did 250 00:14:33,160 --> 00:14:35,760 Speaker 1: the interview, I got called up to the executive producers. 251 00:14:35,800 --> 00:14:37,640 Speaker 1: One of the people on the floor with a clipboard 252 00:14:37,680 --> 00:14:41,520 Speaker 1: and the fucking microphone like the Hungry Jack's headset came 253 00:14:41,560 --> 00:14:43,760 Speaker 1: and said, oh, the executive producer once talked to you, 254 00:14:44,640 --> 00:14:47,960 Speaker 1: and I go, that sounds terrifying. Anyway, I went. It 255 00:14:48,080 --> 00:14:49,080 Speaker 1: was a lady called Sandy. 256 00:14:49,120 --> 00:14:49,520 Speaker 2: I met her. 257 00:14:49,640 --> 00:14:51,640 Speaker 1: She goes, what Telly have you done? 258 00:14:51,720 --> 00:14:51,800 Speaker 2: Like? 259 00:14:51,800 --> 00:14:54,360 Speaker 1: What have you done? And I said none, really, like 260 00:14:54,440 --> 00:14:58,880 Speaker 1: nothing other than just random interviews. And she goes, oh, 261 00:14:59,000 --> 00:15:01,480 Speaker 1: she goes, would you would you like to come back 262 00:15:01,480 --> 00:15:03,560 Speaker 1: next week and do another spot? And I went sure, 263 00:15:03,960 --> 00:15:06,600 Speaker 1: which I didn't really know was an audition, and I 264 00:15:06,640 --> 00:15:08,800 Speaker 1: came back and did another spot and then she asked 265 00:15:08,840 --> 00:15:10,520 Speaker 1: me if I want to be a regular, right, But 266 00:15:10,840 --> 00:15:13,000 Speaker 1: my long winded point is I went, fuck, this is it. 267 00:15:13,040 --> 00:15:16,080 Speaker 1: I'm going to kill now. I'm on National Telly. I'm 268 00:15:16,080 --> 00:15:19,720 Speaker 1: a big deal. Now. It didn't change one thing. Like 269 00:15:20,400 --> 00:15:23,160 Speaker 1: it didn't like I thought, I'm going to be so 270 00:15:23,200 --> 00:15:27,600 Speaker 1: big in about two weeks. And I mean, you know 271 00:15:27,880 --> 00:15:29,480 Speaker 1: a few people like it had. 272 00:15:29,840 --> 00:15:32,000 Speaker 2: That's what I thought when you started having me on 273 00:15:32,040 --> 00:15:32,800 Speaker 2: the You project. 274 00:15:32,840 --> 00:15:34,200 Speaker 1: Great, No, it's. 275 00:15:34,800 --> 00:15:39,080 Speaker 2: It's a Maine shade. I'm set now, Bloody Craig half 276 00:15:39,160 --> 00:15:39,720 Speaker 2: was talking to me. 277 00:15:40,240 --> 00:15:42,840 Speaker 1: Yeah, no, it's not happening, but it is. I wanted 278 00:15:42,880 --> 00:15:46,640 Speaker 1: to ask you back to the back to the you 279 00:15:46,720 --> 00:15:50,040 Speaker 1: know you coming up being a gifted academic or at 280 00:15:50,120 --> 00:15:53,240 Speaker 1: least you know, having that intellectual advantage, which is that's 281 00:15:53,400 --> 00:15:54,200 Speaker 1: just what you're born with. 282 00:15:55,640 --> 00:15:58,280 Speaker 2: Yeah, I wasn't anything I did. And that's the only 283 00:15:58,400 --> 00:16:01,560 Speaker 2: thing is is you know, you say something like that 284 00:16:01,680 --> 00:16:03,680 Speaker 2: and people think you're big, noting yourself, and it's kind 285 00:16:03,720 --> 00:16:06,760 Speaker 2: of the opposite because I didn't do anything for that. 286 00:16:07,000 --> 00:16:10,840 Speaker 2: I got born. I mean, if we look at a 287 00:16:11,280 --> 00:16:13,880 Speaker 2: biological example, Actually it was my mother who did it, 288 00:16:14,320 --> 00:16:18,360 Speaker 2: because she stored enough of the right kind of fat 289 00:16:18,480 --> 00:16:22,840 Speaker 2: in her buttocks to give me a brain capable of 290 00:16:23,040 --> 00:16:28,840 Speaker 2: doing those things that higher speeds. And you know, that's 291 00:16:28,920 --> 00:16:32,080 Speaker 2: the biochemistry of it all and worth knowing. By the way, 292 00:16:32,160 --> 00:16:34,320 Speaker 2: if you're number two child in a rush or number 293 00:16:34,360 --> 00:16:36,280 Speaker 2: three child in a rush, is it all the good 294 00:16:36,280 --> 00:16:38,000 Speaker 2: stuff might have been used up on the first child. 295 00:16:38,120 --> 00:16:39,440 Speaker 2: I am an eldest child, by the way. 296 00:16:40,800 --> 00:16:44,480 Speaker 1: That is hilarious. So it's all about your mum's buttocks everyone, 297 00:16:44,520 --> 00:16:44,760 Speaker 1: it is. 298 00:16:44,920 --> 00:16:49,880 Speaker 2: Yep, that's what kind of fat she stores in a bum. 299 00:16:50,960 --> 00:16:54,120 Speaker 1: Wow, that is just all kinds of weird. But I 300 00:16:54,240 --> 00:16:56,560 Speaker 1: was thinking about, Look, you're exactly right, and it's like, 301 00:16:57,680 --> 00:16:59,880 Speaker 1: there are some things that like, I think I'm natural. 302 00:17:02,200 --> 00:17:05,640 Speaker 1: I'm a reasonably articulate, I'm reasonally good communicator, And even 303 00:17:05,680 --> 00:17:08,400 Speaker 1: when I was a young fat kid, I was probably 304 00:17:08,440 --> 00:17:12,000 Speaker 1: a better communicator than most of my peers in terms 305 00:17:12,040 --> 00:17:15,159 Speaker 1: of I could hold conversations with grown ups and you know, 306 00:17:15,520 --> 00:17:17,600 Speaker 1: and kind of be right there in the middle of 307 00:17:17,640 --> 00:17:21,960 Speaker 1: it and have been needed to be, didn't you because 308 00:17:22,480 --> 00:17:24,120 Speaker 1: you know it was going to be all to otherwise. 309 00:17:24,480 --> 00:17:26,399 Speaker 1: That's reminds you of something that a mate said to 310 00:17:26,480 --> 00:17:28,320 Speaker 1: me when we were, you know, eighteen year olds. And 311 00:17:28,880 --> 00:17:31,920 Speaker 1: he was a fairly wealthy family and his parents bought 312 00:17:31,960 --> 00:17:33,640 Speaker 1: him a pretty flash car when he was an eighteen 313 00:17:33,720 --> 00:17:36,160 Speaker 1: year old. And I managed to buy my own Hold 314 00:17:36,240 --> 00:17:39,639 Speaker 1: and Gemini out of my earnings at working at the 315 00:17:39,680 --> 00:17:45,000 Speaker 1: sports store, and no one was was a secondhand blue 316 00:17:45,080 --> 00:17:47,520 Speaker 1: nurse's car, you know, one of those really nice pale 317 00:17:47,560 --> 00:17:53,080 Speaker 1: blue Hold Geminis. And he used to say, have a 318 00:17:53,160 --> 00:17:55,520 Speaker 1: go at me and say, you know you're never going 319 00:17:55,600 --> 00:17:58,280 Speaker 1: to pick up in that car, right, And I said 320 00:17:58,320 --> 00:18:01,399 Speaker 1: to him, mate, if a girl interested in me when 321 00:18:01,400 --> 00:18:03,440 Speaker 1: I'm driving this car, then she's interested in me, not 322 00:18:03,560 --> 00:18:07,600 Speaker 1: the car. That is. That is very good retort and 323 00:18:07,800 --> 00:18:09,520 Speaker 1: true that is. 324 00:18:09,960 --> 00:18:12,680 Speaker 2: Whereas with him lingering down, is it the Ferrari or 325 00:18:12,760 --> 00:18:14,199 Speaker 2: is it the guy driving the Ferrari? 326 00:18:14,880 --> 00:18:19,880 Speaker 1: Yeah? Yeah, well yeah, did he literally have a Ferrari? 327 00:18:20,320 --> 00:18:23,240 Speaker 2: Yes, he did literally had a Ferrari? Oh my god, 328 00:18:23,640 --> 00:18:24,160 Speaker 2: Oh my god. 329 00:18:24,240 --> 00:18:26,359 Speaker 1: That that's I mean, there's wealthy and then they're stupid 330 00:18:26,440 --> 00:18:30,239 Speaker 1: wealthy or maybe stupid debt, who knows. I was going 331 00:18:30,320 --> 00:18:33,360 Speaker 1: to ask you, though, do you think that like we're 332 00:18:33,400 --> 00:18:35,639 Speaker 1: talking about kids or we do talk a little bit 333 00:18:35,680 --> 00:18:40,800 Speaker 1: about kids being you know, resilient and like, because I 334 00:18:40,920 --> 00:18:42,840 Speaker 1: mean my mum and dad I had a great childhood. 335 00:18:42,880 --> 00:18:47,840 Speaker 1: But I certainly wasn't molly coddled on any level. You know, 336 00:18:48,000 --> 00:18:49,840 Speaker 1: I was an only kid, but Mum and dad worked 337 00:18:49,880 --> 00:18:53,280 Speaker 1: all the time. I let myself in at four o'clock 338 00:18:53,359 --> 00:18:55,760 Speaker 1: when I got home, or three forty five when I 339 00:18:55,840 --> 00:18:59,520 Speaker 1: got home. Mom and Dad got home at six. And 340 00:19:00,119 --> 00:19:03,080 Speaker 1: in the country kid, I was one of them. Yeah yeah, 341 00:19:03,160 --> 00:19:06,000 Speaker 1: And I mean like I had everything I needed. I 342 00:19:06,080 --> 00:19:08,240 Speaker 1: didn't live in a house with any violence or any 343 00:19:08,280 --> 00:19:12,920 Speaker 1: alcoholism or any abuse. So I was very fortunate. But 344 00:19:14,560 --> 00:19:18,240 Speaker 1: you know that, like there wasn't any kind of doting, 345 00:19:18,480 --> 00:19:22,080 Speaker 1: so to speak. And so when by the time when 346 00:19:22,119 --> 00:19:25,119 Speaker 1: I was doing Year twelve, like a couple of months in, 347 00:19:25,240 --> 00:19:27,520 Speaker 1: Mom and Dad sat me down because we moved a lot. 348 00:19:27,600 --> 00:19:29,440 Speaker 1: I thought Dad was a drug dealer, but he wasn't. 349 00:19:29,520 --> 00:19:31,800 Speaker 1: But we moved a lot. No, he worked in retail. 350 00:19:31,880 --> 00:19:35,159 Speaker 1: Then he got off at a job in Tasmania, a 351 00:19:35,240 --> 00:19:38,159 Speaker 1: state manager for an organization called Brashes, which you might 352 00:19:38,240 --> 00:19:43,639 Speaker 1: remember Brashes Yeah still yeah, yeah, yeah. So anyway, they moved. 353 00:19:43,760 --> 00:19:46,240 Speaker 1: I was seventeen, so I stayed and that was the 354 00:19:46,320 --> 00:19:48,440 Speaker 1: last time I lived with him. I was seventeen years old, 355 00:19:48,880 --> 00:19:51,200 Speaker 1: and I lived essentially, I boarded with a family, but 356 00:19:51,359 --> 00:19:54,119 Speaker 1: essentially lived by myself. But so when I came out 357 00:19:54,160 --> 00:19:57,440 Speaker 1: and I started working, I was already resilient. I was 358 00:19:57,480 --> 00:20:02,040 Speaker 1: already making decisions, I was already sustaining, and I was 359 00:20:02,080 --> 00:20:04,440 Speaker 1: seventeen years old. Then at eighteen, I moved to Western 360 00:20:04,480 --> 00:20:09,359 Speaker 1: Australia by myself. Worked on a construction site through the 361 00:20:09,480 --> 00:20:11,840 Speaker 1: day and worked in gyms at night, and then worked 362 00:20:11,880 --> 00:20:14,359 Speaker 1: in pubs three nights a week. After that, I had 363 00:20:14,440 --> 00:20:18,200 Speaker 1: three jobs when I was eighteen. And not saying that's 364 00:20:18,280 --> 00:20:22,359 Speaker 1: good or bad, but I feel like sometimes now maybe 365 00:20:22,520 --> 00:20:28,919 Speaker 1: where over I don't know, over molly coddling or protecting 366 00:20:29,000 --> 00:20:32,200 Speaker 1: our kids to the point where when they do leave 367 00:20:32,240 --> 00:20:36,159 Speaker 1: the nest, maybe they don't have the resourcefulness and resilience 368 00:20:36,240 --> 00:20:38,440 Speaker 1: that's going to hold them in good stead. 369 00:20:39,440 --> 00:20:41,720 Speaker 2: Well, there's quite a lot written about this, and I 370 00:20:41,960 --> 00:20:44,760 Speaker 2: think I probably went over some of it in the 371 00:20:44,840 --> 00:20:54,320 Speaker 2: teen Brain book. That adolescence has been extended. So it's 372 00:20:54,400 --> 00:21:00,720 Speaker 2: probably a result of the extension in first age of 373 00:21:00,840 --> 00:21:04,280 Speaker 2: first birth. So age of first birth for females in 374 00:21:04,320 --> 00:21:10,240 Speaker 2: Australia has massively increased in the last twenty or thirty years. 375 00:21:10,359 --> 00:21:14,960 Speaker 2: So when Lizzie, my wife, and I had our first 376 00:21:15,080 --> 00:21:20,119 Speaker 2: child at I think she was twenty five, that was 377 00:21:20,240 --> 00:21:23,639 Speaker 2: relatively late for our generation. So that was, you know, 378 00:21:23,720 --> 00:21:27,280 Speaker 2: in the nineties, and that was relatively late. You know, 379 00:21:27,320 --> 00:21:29,400 Speaker 2: a lot of her friends had already had their first child, 380 00:21:29,560 --> 00:21:31,960 Speaker 2: you know, twenty three, twenty four years old. You say 381 00:21:32,000 --> 00:21:34,160 Speaker 2: that to a twenty three or twenty four year old 382 00:21:34,320 --> 00:21:38,920 Speaker 2: now and they will think you're insane. They do not 383 00:21:39,119 --> 00:21:41,720 Speaker 2: have an expectation that they will be having children until 384 00:21:41,720 --> 00:21:47,280 Speaker 2: their mid thirties if then, And that reflects what's going 385 00:21:47,320 --> 00:21:50,040 Speaker 2: on in the population in general. According to the ABS statistics, 386 00:21:50,359 --> 00:21:52,560 Speaker 2: at least when I wrote teen Brain, which is a 387 00:21:52,600 --> 00:21:54,879 Speaker 2: few years ago now this is probably much higher than this, 388 00:21:55,440 --> 00:21:57,560 Speaker 2: But when I wrote that, I think was something like 389 00:21:57,680 --> 00:22:02,800 Speaker 2: thirty three point five. So is the average age of 390 00:22:03,440 --> 00:22:08,720 Speaker 2: the mother at their first child. So it's that extension 391 00:22:08,760 --> 00:22:15,080 Speaker 2: of childhood from on average mothers having their first child 392 00:22:15,119 --> 00:22:19,240 Speaker 2: in their low twenties to their low to mid thirties 393 00:22:19,760 --> 00:22:24,520 Speaker 2: means that there's an extended period where the child is 394 00:22:24,880 --> 00:22:28,960 Speaker 2: probably effectively being looked after by their parents, and probably 395 00:22:29,040 --> 00:22:32,320 Speaker 2: having their housing provided by their parents. And that's a 396 00:22:32,480 --> 00:22:37,560 Speaker 2: consequence of the economy that's been built by honest so 397 00:22:37,680 --> 00:22:41,960 Speaker 2: quite honestly quite weird tax policy where we subsidize the 398 00:22:42,440 --> 00:22:48,680 Speaker 2: investment in property, and all of that added together means 399 00:22:48,800 --> 00:22:51,879 Speaker 2: that adolescence doesn't finish at eighteen or anything like it, 400 00:22:52,000 --> 00:22:55,840 Speaker 2: or seventeen in your case, it's more normal to be 401 00:22:55,960 --> 00:22:58,400 Speaker 2: thinking about a thirty year old as what you were 402 00:22:58,480 --> 00:22:59,160 Speaker 2: at seventeen. 403 00:23:01,040 --> 00:23:04,520 Speaker 1: Yeah, when I was eight or eighteen and a half, 404 00:23:04,720 --> 00:23:07,159 Speaker 1: this is not a good childhood, but I mean it 405 00:23:07,320 --> 00:23:09,200 Speaker 1: just was mine. Like I was quite big, I was 406 00:23:09,200 --> 00:23:11,720 Speaker 1: a bodybuilder. I was working in gyms, I was working 407 00:23:11,760 --> 00:23:14,280 Speaker 1: on construction all day. When I was eighteen and a half, 408 00:23:14,359 --> 00:23:16,400 Speaker 1: I was working in pubs three nights a week getting 409 00:23:16,440 --> 00:23:19,920 Speaker 1: punched in the face like, which is no surprise at 410 00:23:20,000 --> 00:23:20,360 Speaker 1: the job. 411 00:23:20,760 --> 00:23:22,280 Speaker 2: They said that our craig, listen, we just want to 412 00:23:22,359 --> 00:23:23,879 Speaker 2: stand over there and get punched in the face. 413 00:23:24,200 --> 00:23:26,159 Speaker 1: Well, we want you to stand over there and be 414 00:23:26,320 --> 00:23:29,280 Speaker 1: large and intimidating and don't let dickheads in. I mean 415 00:23:29,359 --> 00:23:32,960 Speaker 1: that was my brief, right, or get rid of dickheads, right, whatever, 416 00:23:33,480 --> 00:23:36,960 Speaker 1: But you think about putting a teenager in that position 417 00:23:37,160 --> 00:23:40,720 Speaker 1: now like you wouldn't even you wouldn't dream of it. 418 00:23:40,840 --> 00:23:41,480 Speaker 2: Do you think that? 419 00:23:41,840 --> 00:23:44,800 Speaker 1: Okay, So I just want to talk for a moment 420 00:23:45,000 --> 00:23:52,600 Speaker 1: about potential and with children, helping them develop their potential, 421 00:23:52,720 --> 00:23:59,359 Speaker 1: whether that's academic, whether that's you know, a commercial potential, 422 00:23:59,520 --> 00:24:05,080 Speaker 1: physical potential, you know, relationships, communication. I feel like, you know, 423 00:24:05,280 --> 00:24:09,000 Speaker 1: if we're we're delaying their development so to speak, or 424 00:24:09,080 --> 00:24:13,360 Speaker 1: they're you know, they're basically becoming twenty five year old teenagers, 425 00:24:14,240 --> 00:24:17,680 Speaker 1: what's that doing to their capacity for growth and learning 426 00:24:17,800 --> 00:24:23,400 Speaker 1: and optimizing their either intellectual potential or whatever. 427 00:24:24,920 --> 00:24:29,800 Speaker 2: It's It's probably not doing much if you consider that 428 00:24:30,600 --> 00:24:33,520 Speaker 2: the generation that that is happening to, and this, you know, 429 00:24:33,640 --> 00:24:35,440 Speaker 2: we are going to work our way back around to 430 00:24:35,480 --> 00:24:38,720 Speaker 2: a bit of a topic here that the generation that 431 00:24:38,840 --> 00:24:41,840 Speaker 2: that is happening to are not like any other generation, 432 00:24:42,160 --> 00:24:44,760 Speaker 2: and they're not like their parents either, And there's a 433 00:24:44,880 --> 00:24:50,240 Speaker 2: tendency for parents these days to think that criticism of 434 00:24:50,960 --> 00:24:54,040 Speaker 2: you know, kids that age is just the usual you 435 00:24:54,119 --> 00:24:56,800 Speaker 2: know kids these days type criticism you know that you 436 00:24:56,920 --> 00:24:59,800 Speaker 2: get from every older generation is ah, these rat bag 437 00:25:00,240 --> 00:25:01,560 Speaker 2: you know, you got it in the sixties and the 438 00:25:01,600 --> 00:25:03,720 Speaker 2: seventies and the eighties and so on. But there is 439 00:25:03,800 --> 00:25:08,240 Speaker 2: a fundamental difference with this generation, and it started thirteen 440 00:25:08,359 --> 00:25:14,120 Speaker 2: years ago and we are just now starting to see 441 00:25:15,200 --> 00:25:19,960 Speaker 2: it make a difference. And the thing that happened thirteen 442 00:25:20,040 --> 00:25:22,920 Speaker 2: years ago is the iPad was released. And this is 443 00:25:23,040 --> 00:25:25,160 Speaker 2: not to say that, you know, Apple is the enemy 444 00:25:25,160 --> 00:25:27,159 Speaker 2: of the universe, it's just that they were the first. 445 00:25:28,400 --> 00:25:31,200 Speaker 2: And why it mattered that the iPad was released is 446 00:25:31,320 --> 00:25:34,879 Speaker 2: suddenly you had Internet on a stick, in the sense 447 00:25:35,119 --> 00:25:38,679 Speaker 2: that prior to that, if you wanted to access the Internet, 448 00:25:39,520 --> 00:25:42,240 Speaker 2: you really had to be somewhere near a computer, which 449 00:25:42,280 --> 00:25:45,560 Speaker 2: had to be somewhere near a PowerPoint, and somewhere near 450 00:25:45,640 --> 00:25:51,720 Speaker 2: an Internet connection, usually a cable. And what the iPad 451 00:25:51,920 --> 00:25:54,760 Speaker 2: and a few years before the iPhone had done is 452 00:25:55,119 --> 00:25:58,520 Speaker 2: unshackle all of that, so that suddenly you had the 453 00:25:58,640 --> 00:26:04,520 Speaker 2: Internet twenty four seven heaven, anywhere you were. And that's 454 00:26:04,600 --> 00:26:07,520 Speaker 2: a very, very big change if it's coupled with some 455 00:26:07,680 --> 00:26:10,400 Speaker 2: other things that happened around about the same time, which 456 00:26:10,440 --> 00:26:13,480 Speaker 2: is the invention of or at least the getting big 457 00:26:13,720 --> 00:26:19,400 Speaker 2: of things like Facebook, Instagram, first person shooter gaming, online gambling, 458 00:26:20,440 --> 00:26:28,800 Speaker 2: and a high resolution free pornography. Now old fellas like 459 00:26:28,960 --> 00:26:31,880 Speaker 2: us will remember Craig that it wasn't that long ago 460 00:26:32,400 --> 00:26:35,080 Speaker 2: that if you wanted to engage in the looking at 461 00:26:35,440 --> 00:26:38,600 Speaker 2: nude young ladies, you would have to make a trip 462 00:26:38,640 --> 00:26:41,119 Speaker 2: to your local newsagent. 463 00:26:43,480 --> 00:26:45,960 Speaker 1: By a periodical called Mayfair. 464 00:26:45,800 --> 00:26:49,359 Speaker 2: That's right, or Playboy even And you know, have you 465 00:26:49,520 --> 00:26:55,080 Speaker 2: raised ready to undo the CNS house, right? And you 466 00:26:55,160 --> 00:26:58,479 Speaker 2: compare that to what the average seventeen, sixteen, fifteen year 467 00:26:58,520 --> 00:27:01,760 Speaker 2: old boy has access to today twenty four to seven 468 00:27:01,960 --> 00:27:05,760 Speaker 2: in their pocket. And it's just not even on the 469 00:27:05,800 --> 00:27:10,239 Speaker 2: same planet. And I'm not wanting to target pornography. It's 470 00:27:10,320 --> 00:27:12,760 Speaker 2: just that pornography is a terrific example to the people 471 00:27:12,800 --> 00:27:18,119 Speaker 2: who say simulation can't be addictive. So often when I 472 00:27:18,200 --> 00:27:21,880 Speaker 2: talk about addiction to groups, people you know, are quite 473 00:27:21,920 --> 00:27:24,440 Speaker 2: clear on the fact that you know, obviously nicotine is addictive, 474 00:27:24,480 --> 00:27:27,560 Speaker 2: and alcohol is addictive, and cocaine's addictive, and heroin's addictive. 475 00:27:27,600 --> 00:27:31,320 Speaker 2: That's all very clear. These are substances clear as But 476 00:27:31,440 --> 00:27:33,680 Speaker 2: often people will say when I say, okay, well yeah, 477 00:27:33,760 --> 00:27:37,440 Speaker 2: but so gaming apps, and they'll say, oh, yeah, but 478 00:27:37,560 --> 00:27:40,200 Speaker 2: that's that's just a simulation. You know, that's that's not 479 00:27:40,520 --> 00:27:43,760 Speaker 2: real and it's not a substance. No one's injecting that 480 00:27:43,880 --> 00:27:47,680 Speaker 2: into your veins. And pornography is a great example of 481 00:27:47,800 --> 00:27:52,959 Speaker 2: a simulation that is quite addictive. You know, it's got 482 00:27:52,960 --> 00:27:56,120 Speaker 2: a syndrome that we know is related to high levels 483 00:27:56,119 --> 00:28:00,280 Speaker 2: of addiction. And then as people say, oh, that's a 484 00:28:00,280 --> 00:28:02,400 Speaker 2: bit of a stretch, I don't know any porn addicts, well, 485 00:28:02,520 --> 00:28:04,200 Speaker 2: you know, you might be mixing with the wrong crowd, 486 00:28:06,240 --> 00:28:09,760 Speaker 2: because we certainly know about gambling addicts, which is yet 487 00:28:09,840 --> 00:28:14,760 Speaker 2: another simulation addiction. And so it shows that it's possible 488 00:28:15,040 --> 00:28:18,200 Speaker 2: to addict the human brain by simply running a simulation 489 00:28:18,359 --> 00:28:21,520 Speaker 2: that stimulates dopamine, which both of those things do. And 490 00:28:21,760 --> 00:28:26,159 Speaker 2: what we did in twenty eleven is distribute a device, 491 00:28:26,280 --> 00:28:32,520 Speaker 2: a delivery platform which allowed simulations of dopamine stimulation to 492 00:28:32,640 --> 00:28:35,920 Speaker 2: be distributed, so not just pornography, not just gambling, but 493 00:28:36,080 --> 00:28:39,760 Speaker 2: some new fangled ones like the one that simulates oxytocin stimulation, 494 00:28:39,960 --> 00:28:43,160 Speaker 2: which we call social media, or the one that O 495 00:28:43,840 --> 00:28:48,720 Speaker 2: you know, that simulates dopamine stimulation from fear, which is 496 00:28:48,800 --> 00:28:54,160 Speaker 2: what we call gaming. So we did that thirteen years ago. 497 00:28:54,840 --> 00:28:59,160 Speaker 2: So no parent today can say they know what it's 498 00:28:59,480 --> 00:29:02,760 Speaker 2: like to be a teenager today. Because no parent today 499 00:29:03,400 --> 00:29:09,560 Speaker 2: grew up surrounded by addiction. No parent today grew up 500 00:29:09,840 --> 00:29:14,720 Speaker 2: with addiction available twenty four to seven, and that's very, 501 00:29:15,040 --> 00:29:19,320 Speaker 2: very different. And remembering that the only time you can 502 00:29:19,520 --> 00:29:23,000 Speaker 2: really become addicted as a human is those ten years 503 00:29:23,120 --> 00:29:28,240 Speaker 2: between the start of puberty and your early twenties, because 504 00:29:28,280 --> 00:29:31,440 Speaker 2: that's the only time the brains defenses against addiction are down, 505 00:29:33,320 --> 00:29:36,880 Speaker 2: then no parent of life today can understand what it's 506 00:29:37,080 --> 00:29:39,840 Speaker 2: like to have grown up in an age where addiction 507 00:29:40,040 --> 00:29:44,280 Speaker 2: was available for all of those ten years. So we've 508 00:29:44,360 --> 00:29:48,200 Speaker 2: gone from a situation where in our day as teenagers, 509 00:29:48,480 --> 00:29:50,400 Speaker 2: if you wanted to get addicted to something, you had 510 00:29:50,440 --> 00:29:54,800 Speaker 2: to be pretty damn risk, high risk taker to You 511 00:29:54,920 --> 00:29:58,160 Speaker 2: had to find a way to get access to something 512 00:29:58,200 --> 00:30:00,160 Speaker 2: that was potentially addictive, and you had to be able 513 00:30:00,200 --> 00:30:04,400 Speaker 2: to do it regularly, so adventurous and the high risk 514 00:30:04,480 --> 00:30:06,680 Speaker 2: takers were the ones who became addicts, which was very 515 00:30:06,800 --> 00:30:09,440 Speaker 2: very small percentage of the population. Now, if you want 516 00:30:09,480 --> 00:30:12,040 Speaker 2: to become an addict, and even if you don't, all 517 00:30:12,120 --> 00:30:15,320 Speaker 2: you have to do is turn on your phone and 518 00:30:15,640 --> 00:30:20,520 Speaker 2: you have total privacy to do that anywhere, anyhow, anytime. Now, 519 00:30:21,040 --> 00:30:24,640 Speaker 2: the kids these days aren't kids these days. They are 520 00:30:24,680 --> 00:30:28,360 Speaker 2: a completely different beast because they're the first humans where 521 00:30:28,400 --> 00:30:31,440 Speaker 2: every single one of them has been exposed twenty four 522 00:30:31,440 --> 00:30:33,840 Speaker 2: to seven to addiction. Now, the interesting thing is it's 523 00:30:33,880 --> 00:30:37,480 Speaker 2: taken us thirteen years, but we are finally seeing every 524 00:30:37,600 --> 00:30:40,120 Speaker 2: single day in the paper. Every day, every time I 525 00:30:40,200 --> 00:30:42,560 Speaker 2: pick up the paper, I see yet another story about 526 00:30:42,600 --> 00:30:46,200 Speaker 2: social media addiction and how the government wants to limit 527 00:30:46,280 --> 00:30:49,640 Speaker 2: the age of access and all that good stuff. Well, 528 00:30:49,680 --> 00:30:52,360 Speaker 2: that's all really fabulous. None of it will have any 529 00:30:52,360 --> 00:30:55,040 Speaker 2: effect because that is not the primary source of addiction 530 00:30:55,600 --> 00:30:58,680 Speaker 2: and it's not going to change anything making a rule 531 00:30:58,720 --> 00:31:00,920 Speaker 2: about whether someone has to be seen in order to 532 00:31:01,040 --> 00:31:04,560 Speaker 2: access it. But the good news is at least they're 533 00:31:04,600 --> 00:31:06,360 Speaker 2: acknowledging that there's a problem. 534 00:31:08,720 --> 00:31:11,240 Speaker 1: So if social media is not, what are you saying 535 00:31:11,280 --> 00:31:12,280 Speaker 1: when you say it's not the. 536 00:31:12,360 --> 00:31:14,760 Speaker 2: Source of addiction, Well, it is a source of addiction, 537 00:31:14,960 --> 00:31:19,240 Speaker 2: but it's it's It would be sort of like saying, 538 00:31:19,280 --> 00:31:21,160 Speaker 2: you know what we're going to do. We're going to 539 00:31:21,360 --> 00:31:25,280 Speaker 2: go into this room full of alcoholics and cocaine addicts 540 00:31:26,080 --> 00:31:30,680 Speaker 2: and we're going to stop them smoking. Okay, good, that's 541 00:31:30,720 --> 00:31:33,320 Speaker 2: a good thing. And yes, you are removing an addiction. 542 00:31:33,880 --> 00:31:38,600 Speaker 2: But is it the primary problem? No, it isn't. Is 543 00:31:38,680 --> 00:31:41,520 Speaker 2: it a pathway to the problem, Yes it is, and 544 00:31:41,680 --> 00:31:43,680 Speaker 2: yes it's great that we're talking about it. And yes 545 00:31:43,720 --> 00:31:46,560 Speaker 2: it's great that we're recognizing that it's possible to create 546 00:31:46,600 --> 00:31:49,960 Speaker 2: addiction using something as innocuous as a social media app. 547 00:31:50,400 --> 00:31:52,480 Speaker 2: But there's a long pathway to go there. 548 00:31:53,560 --> 00:31:59,880 Speaker 1: And and interestingly, while obviously you know, booze and drugs 549 00:32:01,080 --> 00:32:03,840 Speaker 1: create you know, where we're putting a physical thing in 550 00:32:03,920 --> 00:32:08,920 Speaker 1: our physical body and creating a physiological response, We're still 551 00:32:09,000 --> 00:32:13,760 Speaker 1: creating a physiological response even with a virtual stimulus. 552 00:32:13,360 --> 00:32:16,720 Speaker 2: Right, absolutely, you know, it's still like it's. 553 00:32:16,680 --> 00:32:21,280 Speaker 1: Like oxytocin and or dopamine is what people are addicted to. 554 00:32:21,600 --> 00:32:23,959 Speaker 1: It's just that the pathway is different. 555 00:32:24,800 --> 00:32:27,040 Speaker 2: Yeah. Well, I look, I mean not to get too 556 00:32:27,080 --> 00:32:31,320 Speaker 2: graphic for your audience, but looking at pornography generally creates 557 00:32:31,360 --> 00:32:37,160 Speaker 2: a real world physiological response. So that's an example of 558 00:32:38,320 --> 00:32:42,440 Speaker 2: having nothing other than your imagination essentially, Yes, you know, 559 00:32:42,640 --> 00:32:48,920 Speaker 2: with some visual aids getting a real world biochemical response. 560 00:32:50,480 --> 00:32:53,760 Speaker 1: Who's there's there's a new term for pornography. Okay, kids, 561 00:32:53,800 --> 00:32:56,520 Speaker 1: we're going to call these everyone jrop this down. Visual aids. 562 00:32:59,240 --> 00:33:02,760 Speaker 1: There's a physical logical response boys and girls, and the same. 563 00:33:02,600 --> 00:33:07,400 Speaker 2: Thing happens less obviously. I guess every time you stimulate dopamine, 564 00:33:07,400 --> 00:33:10,520 Speaker 2: and it's relatively easy to stimulate dopamine, all you've got 565 00:33:10,560 --> 00:33:14,120 Speaker 2: to do is simulate something that stimulates don't mean in 566 00:33:14,160 --> 00:33:17,200 Speaker 2: the real world, but do it a lot more quickly 567 00:33:17,360 --> 00:33:20,360 Speaker 2: and a lot more frequently. And so when you play 568 00:33:20,400 --> 00:33:24,240 Speaker 2: a first person shooter game, that's simulating what it's like 569 00:33:24,640 --> 00:33:26,680 Speaker 2: to be an armed combat in the real world, which 570 00:33:26,760 --> 00:33:31,160 Speaker 2: believe me, would stimulate dopamine. But you get to do 571 00:33:31,320 --> 00:33:34,240 Speaker 2: it a thousand times a day rather than once in 572 00:33:34,320 --> 00:33:35,000 Speaker 2: your lifetime. 573 00:33:35,680 --> 00:33:40,880 Speaker 1: Yeah, but also the downside of first person shooter games 574 00:33:41,080 --> 00:33:44,720 Speaker 1: is not just dopamine, but you know, adrenaline and cortisol, 575 00:33:45,000 --> 00:33:47,640 Speaker 1: which you know enough of that over a long enough 576 00:33:47,760 --> 00:33:49,880 Speaker 1: time is shit. 577 00:33:50,800 --> 00:33:53,120 Speaker 2: Yeah, well, look there are downsides to all of this stuff. 578 00:33:53,160 --> 00:33:55,160 Speaker 2: I mean to the substances. There are you know, lots 579 00:33:55,200 --> 00:33:58,360 Speaker 2: of downsides because they will have side effects. And people say, oh, 580 00:33:58,480 --> 00:34:01,480 Speaker 2: but hold on, isn't isn't say something like social media, 581 00:34:01,520 --> 00:34:04,840 Speaker 2: which also gives a dopamine stimulation, and the real world 582 00:34:04,920 --> 00:34:08,479 Speaker 2: example that it's simulating is what happens in the real world, 583 00:34:08,520 --> 00:34:10,759 Speaker 2: when we do something and somebody tells us they like 584 00:34:10,840 --> 00:34:13,359 Speaker 2: what we're doing, which is our social glue, the thing 585 00:34:13,400 --> 00:34:15,719 Speaker 2: that binds us together. We feel good when people in 586 00:34:15,800 --> 00:34:18,680 Speaker 2: our group tell us they like what we're doing. So 587 00:34:19,719 --> 00:34:23,680 Speaker 2: that's the oxytocin which generates the dopamine stimulation. Social media 588 00:34:23,840 --> 00:34:26,319 Speaker 2: multiplies that by factors of a thousand, because all you've 589 00:34:26,320 --> 00:34:28,240 Speaker 2: got to do is put a picture up and see alike, 590 00:34:28,880 --> 00:34:30,480 Speaker 2: and every time you see that like, you get the 591 00:34:30,520 --> 00:34:36,279 Speaker 2: little oxotocin hit. So these simulators, when you do them 592 00:34:36,440 --> 00:34:39,520 Speaker 2: frequently enough, generate lots of dophin. Now, as you say, 593 00:34:39,600 --> 00:34:42,600 Speaker 2: some of them have other side effects. So for example, 594 00:34:42,719 --> 00:34:46,040 Speaker 2: that one, the one that's created by first person shooter, 595 00:34:46,320 --> 00:34:50,200 Speaker 2: you're getting testosterone stimulation, you're getting adrenaline stimulation, and they 596 00:34:50,280 --> 00:34:52,719 Speaker 2: all have their own side effects. But people would say, okay, 597 00:34:52,760 --> 00:34:55,080 Speaker 2: but let's pull back from that. Is there any real 598 00:34:55,239 --> 00:34:59,120 Speaker 2: problem of people being addicts? Yes, there is. Yeah, if 599 00:34:59,160 --> 00:35:03,000 Speaker 2: you look at people being addicts to substances, you'd say, sure, 600 00:35:03,200 --> 00:35:05,560 Speaker 2: there's a real problem, but they're the problems associated with 601 00:35:05,600 --> 00:35:07,600 Speaker 2: the side effects. So if you say the problem with 602 00:35:07,640 --> 00:35:12,360 Speaker 2: people being alcoholics is that they're drunk, So if you 603 00:35:12,400 --> 00:35:15,719 Speaker 2: could be an alcoholic without being drunk, would there be 604 00:35:15,840 --> 00:35:18,879 Speaker 2: a problem. You'd be feeling good most of the time, 605 00:35:19,000 --> 00:35:21,040 Speaker 2: no one else would notice, and it wouldn't affect the 606 00:35:21,080 --> 00:35:24,920 Speaker 2: way you worked. You're still an addict. But it's the 607 00:35:25,000 --> 00:35:28,120 Speaker 2: side effect that causes people to be concerned about addiction. 608 00:35:28,320 --> 00:35:31,120 Speaker 2: And so they would say, Okay, well, this electronic addiction 609 00:35:31,200 --> 00:35:33,720 Speaker 2: we're talking about here, if it weren't for the fact 610 00:35:34,400 --> 00:35:39,880 Speaker 2: that you lose money by gambling, would having a gambling 611 00:35:40,000 --> 00:35:43,360 Speaker 2: problem be a problem? The answer is yes, it is 612 00:35:43,600 --> 00:35:46,520 Speaker 2: because the biochemistry that creates the addiction, and I know 613 00:35:46,600 --> 00:35:50,439 Speaker 2: we've talked about this before, perverts the way our brain 614 00:35:50,560 --> 00:35:58,000 Speaker 2: perceives risk and creates anxiety, depression ADHD, ultimately psychosis and schizophrenia. 615 00:35:58,360 --> 00:36:02,240 Speaker 2: So it puts our brain on a pathway to in essence, 616 00:36:02,719 --> 00:36:07,840 Speaker 2: insanity and depression. And so the downside to addiction shouldn't 617 00:36:07,880 --> 00:36:10,439 Speaker 2: be confused with the downsides of the side effects, which 618 00:36:10,480 --> 00:36:13,560 Speaker 2: is what everyone focuses on. Ie, if you're an alcoholic, 619 00:36:13,560 --> 00:36:16,480 Speaker 2: you're drunk all the time, that's a downside. The much 620 00:36:16,680 --> 00:36:19,880 Speaker 2: worse downside to addiction is not the side effect of 621 00:36:19,920 --> 00:36:23,560 Speaker 2: a substance. Because we're now talking increasingly about addictions which 622 00:36:23,600 --> 00:36:27,360 Speaker 2: aren't substance based. The downside to the addiction is what 623 00:36:27,560 --> 00:36:30,040 Speaker 2: it does to the human brain, which is why we 624 00:36:30,160 --> 00:36:35,520 Speaker 2: are seeing teen anxiety, teen depression, teen ADHD, teen suicide 625 00:36:36,040 --> 00:36:40,440 Speaker 2: at levels we have never seen it before, because we 626 00:36:40,560 --> 00:36:43,400 Speaker 2: are exposing that entire population to addiction. 627 00:36:45,400 --> 00:36:49,239 Speaker 1: Wow. I was chatting, we'll wind up. But I was 628 00:36:49,320 --> 00:36:52,800 Speaker 1: chatting to a guy recently who drinks and smokes, and 629 00:36:52,880 --> 00:36:55,279 Speaker 1: he was asking me some stuff. I said, how much 630 00:36:55,360 --> 00:36:58,120 Speaker 1: do you smoke? And he said a pack a day 631 00:36:58,280 --> 00:37:00,640 Speaker 1: And I don't even know what's in a and I 632 00:37:00,719 --> 00:37:03,440 Speaker 1: can't remember if you said thirty or thirty five. And 633 00:37:03,560 --> 00:37:06,960 Speaker 1: I said how much is that? And he's like sixty. 634 00:37:07,960 --> 00:37:10,800 Speaker 1: I go, you spend sixty dollars a day on cigarettes? 635 00:37:10,840 --> 00:37:13,440 Speaker 1: And he goes, yep, I go, that's four hundred and 636 00:37:13,440 --> 00:37:16,919 Speaker 1: twenty dollars a week. That's twenty one thousand dollars a year. 637 00:37:17,719 --> 00:37:21,320 Speaker 1: That's twenty one k a year on cigarettes before he 638 00:37:21,400 --> 00:37:24,080 Speaker 1: eats a sandwich or has a beer, or pays a 639 00:37:24,160 --> 00:37:27,360 Speaker 1: bill or puts gas in his car. I'm like fuck. 640 00:37:27,640 --> 00:37:31,800 Speaker 1: I mean, apart from all the horrible consequences of smoking, 641 00:37:32,480 --> 00:37:34,360 Speaker 1: you need to be rich to smoke. 642 00:37:35,000 --> 00:37:37,239 Speaker 2: And the interesting thing is that if you were to 643 00:37:37,320 --> 00:37:40,520 Speaker 2: ask him, why don't you stop, he would say, I 644 00:37:40,680 --> 00:37:44,839 Speaker 2: want to stop, I just can't. Yeah, every addict wants 645 00:37:44,920 --> 00:37:48,800 Speaker 2: to stop. Every addict knows they're an addict. Every teenager 646 00:37:48,840 --> 00:37:51,520 Speaker 2: who can't get off social media knows they're addicted to 647 00:37:51,600 --> 00:37:53,640 Speaker 2: social media. They want to get off it just as 648 00:37:53,719 --> 00:37:56,200 Speaker 2: much as your friend wants to get off smoking. But 649 00:37:56,400 --> 00:37:59,600 Speaker 2: that's the definition of addiction. If you could stop, you 650 00:37:59,600 --> 00:38:02,719 Speaker 2: wouldn't be an addict. And that's the interesting point that 651 00:38:02,880 --> 00:38:06,200 Speaker 2: everyone forgets when they start making moral judgments about addiction. 652 00:38:08,239 --> 00:38:11,120 Speaker 1: Hey, let's wind up, but before we do, has your 653 00:38:11,200 --> 00:38:16,840 Speaker 1: new fiction book that's in the pipeline. You've been a 654 00:38:16,960 --> 00:38:19,759 Speaker 1: non fiction man, but now you're opening the door on 655 00:38:19,920 --> 00:38:21,520 Speaker 1: storytelling of sorts. 656 00:38:23,440 --> 00:38:26,040 Speaker 2: I'm still playing around with stuff, you know. The interesting 657 00:38:26,120 --> 00:38:28,640 Speaker 2: thing is I'm finding AI really helpful for this sort 658 00:38:28,680 --> 00:38:32,240 Speaker 2: of thing. Yeah. No, not meaning that I'm having AI 659 00:38:32,280 --> 00:38:34,880 Speaker 2: write a book for me, but it's really interesting to 660 00:38:35,000 --> 00:38:38,560 Speaker 2: do some stuff like I find playing with the style 661 00:38:38,760 --> 00:38:42,360 Speaker 2: in AI really really interesting. So if you write something, 662 00:38:42,480 --> 00:38:45,439 Speaker 2: just write it how you'd write it, and then say, 663 00:38:45,560 --> 00:38:49,680 Speaker 2: rewrite this in the style of a certain author and 664 00:38:50,040 --> 00:38:54,080 Speaker 2: It's incredible what a job it does on replicating that, 665 00:38:55,360 --> 00:38:59,480 Speaker 2: and I find it fascinating. I also find it fascinating 666 00:38:59,600 --> 00:39:02,080 Speaker 2: if you are ask it to say, look at a 667 00:39:02,200 --> 00:39:04,440 Speaker 2: narrative arc that you've created. You know, so what the 668 00:39:04,480 --> 00:39:06,319 Speaker 2: storyline is going to be. You say, this is going 669 00:39:06,400 --> 00:39:07,680 Speaker 2: to happen, and then that's going to happen, and this 670 00:39:07,840 --> 00:39:09,399 Speaker 2: character is going to have that happen to them, etc. 671 00:39:10,000 --> 00:39:12,319 Speaker 2: You give it that narrative arc, and then you say, right, 672 00:39:12,680 --> 00:39:15,680 Speaker 2: I want you to line this up with narrative arcs 673 00:39:15,760 --> 00:39:19,000 Speaker 2: typically used by this or that author, and it'll come 674 00:39:19,080 --> 00:39:23,719 Speaker 2: back with adjustments to the narrative arc which we'll say 675 00:39:23,840 --> 00:39:26,720 Speaker 2: things like, well, what about if we kill this character 676 00:39:26,960 --> 00:39:31,120 Speaker 2: off here, or if we impose risk on this character here? 677 00:39:31,719 --> 00:39:35,719 Speaker 2: And I find that's an interesting use of the technology 678 00:39:35,760 --> 00:39:36,120 Speaker 2: as well. 679 00:39:37,000 --> 00:39:42,160 Speaker 1: Yeah, I've had two interesting experiences lately. One is someone 680 00:39:42,280 --> 00:39:45,440 Speaker 1: said to me, I've been doing this deep dive on 681 00:39:46,000 --> 00:39:48,479 Speaker 1: you know, the way that our thoughts can impact our body. 682 00:39:48,520 --> 00:39:51,200 Speaker 1: And somebody said to me, you need to read the 683 00:39:51,239 --> 00:39:55,239 Speaker 1: Biology of Belief by doctor Bruce Lipton, which you'd be 684 00:39:55,320 --> 00:39:59,640 Speaker 1: fascinated in. And I think I started it fifteen years ago, 685 00:39:59,680 --> 00:40:02,040 Speaker 1: but I and finish it. So I just typed in 686 00:40:02,280 --> 00:40:05,759 Speaker 1: chatter GPT can you give me a synopsis of the book, 687 00:40:06,000 --> 00:40:10,680 Speaker 1: And it just gave me this fucking amazing one page overview, 688 00:40:11,280 --> 00:40:14,880 Speaker 1: like like, so, I mean, I know it's not you know, 689 00:40:15,120 --> 00:40:18,399 Speaker 1: it's concise, but I'm like, I've got a reasonably good 690 00:40:18,480 --> 00:40:21,520 Speaker 1: understanding of the core messages and key messages in three 691 00:40:21,640 --> 00:40:24,440 Speaker 1: or four minutes, which doesn't replace reading it. But then 692 00:40:24,480 --> 00:40:27,600 Speaker 1: the other day I was often when I I'm doing something, 693 00:40:28,120 --> 00:40:30,480 Speaker 1: I don't type it in. I just talk into my phone. 694 00:40:30,520 --> 00:40:33,279 Speaker 1: I go, you know, what are the what's the you know, 695 00:40:33,440 --> 00:40:37,400 Speaker 1: at what age does the average Australian give birth for 696 00:40:37,440 --> 00:40:40,239 Speaker 1: the first time or something? You know? And I said, 697 00:40:41,120 --> 00:40:44,439 Speaker 1: I said to it, how trainable like this is? I said, 698 00:40:44,480 --> 00:40:47,279 Speaker 1: to chat to you, how trainable are you? I said, 699 00:40:47,800 --> 00:40:51,719 Speaker 1: can you use my name when we talk? Goes sure, Craig. 700 00:40:51,760 --> 00:40:53,279 Speaker 1: Would you like me to use it at the start 701 00:40:53,320 --> 00:40:55,160 Speaker 1: of the conversation or would you like me to weave 702 00:40:55,200 --> 00:40:58,640 Speaker 1: it through our conversations? And I didn't tell it my name. 703 00:40:58,800 --> 00:41:02,120 Speaker 1: Obviously it has acts as to that information. But it 704 00:41:02,280 --> 00:41:05,520 Speaker 1: was creepy how quick it went Sure Craig and then 705 00:41:05,640 --> 00:41:08,560 Speaker 1: just started talking to me like we were on the phone. Yep, 706 00:41:09,840 --> 00:41:11,440 Speaker 1: it is fucking amazing. 707 00:41:11,920 --> 00:41:15,400 Speaker 2: Well, they do remarkable simulations of human interaction now, but 708 00:41:15,760 --> 00:41:18,680 Speaker 2: the problem, the problem is remembering that it's not a human. 709 00:41:19,480 --> 00:41:22,480 Speaker 2: And that's what most of us have difficulty with, is 710 00:41:23,800 --> 00:41:26,359 Speaker 2: remembering we're not talking to a human. We're just talking 711 00:41:26,400 --> 00:41:28,760 Speaker 2: to something that's doing a really good imitation of a human. 712 00:41:30,280 --> 00:41:33,120 Speaker 1: My nervous system and my body. It's one of my 713 00:41:33,200 --> 00:41:35,360 Speaker 1: best friends right now, it's in my top five friends. 714 00:41:35,840 --> 00:41:41,239 Speaker 2: So hey, we appreciate you, sir, and that probably we 715 00:41:41,280 --> 00:41:43,080 Speaker 2: didn't get to talk about the thing we were supposed 716 00:41:43,120 --> 00:41:43,640 Speaker 2: to talk about. 717 00:41:43,840 --> 00:41:46,560 Speaker 1: We'll talk about it another time, doesn't matter, we'll say affair. 718 00:41:46,600 --> 00:41:47,960 Speaker 1: But for the moment, thanks mate 719 00:41:48,760 --> 00:41:49,239 Speaker 2: See you, Greg,