1 00:00:02,240 --> 00:00:07,520 Speaker 1: Nine podcasts, nine podcasts. 2 00:00:09,000 --> 00:00:09,880 Speaker 2: Effect but. 3 00:00:13,840 --> 00:00:19,560 Speaker 3: Bline good a Russell Hallcroft here and I am Freddie 4 00:00:19,600 --> 00:00:23,120 Speaker 3: Young and we are back with another episode of Admission 5 00:00:23,200 --> 00:00:26,360 Speaker 3: where we unpack the biggest stories happening in the worlds 6 00:00:26,480 --> 00:00:29,840 Speaker 3: of marketing media and more many things to get through. 7 00:00:29,880 --> 00:00:30,200 Speaker 4: Today. 8 00:00:30,640 --> 00:00:33,879 Speaker 2: We have the new content format taking the world by storm. 9 00:00:34,320 --> 00:00:37,120 Speaker 2: Open AI is getting into hardware, and we're also going 10 00:00:37,159 --> 00:00:40,080 Speaker 2: to discuss maybe the most important campaign happening in the 11 00:00:40,120 --> 00:00:42,040 Speaker 2: world right now, Russ. 12 00:00:42,840 --> 00:00:44,040 Speaker 4: But first off, Russ, how are you? 13 00:00:44,360 --> 00:00:48,080 Speaker 1: Thank you for asking? Freddy. I'm great, I'm great. We're well. 14 00:00:48,120 --> 00:00:51,400 Speaker 1: This is has discussed earlier. This is the busiest time 15 00:00:51,560 --> 00:00:54,320 Speaker 1: of the year for me because I'm We do our admission, 16 00:00:54,360 --> 00:00:56,080 Speaker 1: we do the breakfast radio. But then of course I'll 17 00:00:56,080 --> 00:00:57,560 Speaker 1: get on a plane, I'll go and do a Telly. 18 00:00:57,640 --> 00:01:01,760 Speaker 1: And the good news is that Teley Show grewing. You know, 19 00:01:01,800 --> 00:01:05,560 Speaker 1: it's year eighteen if you can believe that, and it 20 00:01:05,640 --> 00:01:08,559 Speaker 1: is going really well from a ratings point of view. 21 00:01:08,600 --> 00:01:11,840 Speaker 1: So the seven day number is the one that we 22 00:01:11,880 --> 00:01:14,680 Speaker 1: all look at now. So the overnight stuff is you know, 23 00:01:14,800 --> 00:01:17,440 Speaker 1: some somewhat of an old fashioned way to look at TV. 24 00:01:17,920 --> 00:01:21,240 Speaker 1: You know, so ie watching it live you know, eight 25 00:01:21,240 --> 00:01:24,680 Speaker 1: o'clock on the on ABC on a Wednesday night. That 26 00:01:24,680 --> 00:01:27,039 Speaker 1: that is one method to watch it, of course, but 27 00:01:27,120 --> 00:01:30,120 Speaker 1: the other method is via iView. And what tends to 28 00:01:30,160 --> 00:01:32,800 Speaker 1: happen is it's about fifty to fifty so you know, 29 00:01:32,920 --> 00:01:35,520 Speaker 1: five hundred to six hundred thousand people watching it live 30 00:01:35,720 --> 00:01:38,199 Speaker 1: eight o'clock on Wednesday, and then the rest five hundred 31 00:01:38,240 --> 00:01:40,679 Speaker 1: and six hundred thousand catch up over the over the 32 00:01:40,680 --> 00:01:43,520 Speaker 1: course of the next seven days. So you know, that's 33 00:01:43,560 --> 00:01:47,120 Speaker 1: that's a pretty good number. That's a really good number. Yeah, 34 00:01:47,200 --> 00:01:49,720 Speaker 1: and that show just you know, while I'm on a 35 00:01:49,720 --> 00:01:52,920 Speaker 1: bit of a growing advertisement, you know, three of the 36 00:01:53,000 --> 00:01:55,800 Speaker 1: top five shows ever on the ABC are ruins grew 37 00:01:55,880 --> 00:01:57,160 Speaker 1: in shows. 38 00:01:57,320 --> 00:02:00,000 Speaker 2: So you've really that you've got the grew and transfer 39 00:02:00,120 --> 00:02:01,800 Speaker 2: for what is a growing world? 40 00:02:02,800 --> 00:02:04,440 Speaker 4: What are the top three? What are the variants? 41 00:02:04,480 --> 00:02:09,360 Speaker 1: Yeah, right, well, grew and transfer. In fact, it's actually 42 00:02:09,440 --> 00:02:10,919 Speaker 1: quite interesting, you know, Will and I have been talking 43 00:02:10,919 --> 00:02:14,320 Speaker 1: about it a bit this year off air, like why 44 00:02:14,440 --> 00:02:16,960 Speaker 1: did we who decided that it should just be called 45 00:02:17,000 --> 00:02:20,320 Speaker 1: grew and they're not growing transfer? The Gruen transfer was 46 00:02:20,360 --> 00:02:23,920 Speaker 1: always a great name because, of course it refers to 47 00:02:24,680 --> 00:02:27,520 Speaker 1: an architect in I think in the nineteen thirties in 48 00:02:27,560 --> 00:02:30,920 Speaker 1: the US that worked out how to turn browsers into 49 00:02:30,960 --> 00:02:36,359 Speaker 1: buyers via the floor plan of shopping centers, and then 50 00:02:36,400 --> 00:02:40,440 Speaker 1: that became known as the Growen transfer, transferring a browser 51 00:02:40,480 --> 00:02:44,360 Speaker 1: to a buyer. And obviously that translates extremely well to 52 00:02:44,400 --> 00:02:47,720 Speaker 1: the world of advertising, turning people that. You know, obviously, 53 00:02:47,720 --> 00:02:49,560 Speaker 1: what we do in advertising is we try and find 54 00:02:49,560 --> 00:02:53,120 Speaker 1: as many browsers as possible, and really good advertising turns 55 00:02:53,120 --> 00:02:57,080 Speaker 1: the browser into a buyer. So I always thought the 56 00:02:57,160 --> 00:02:59,960 Speaker 1: name was brilliant and then for some reason the trans 57 00:03:00,160 --> 00:03:05,200 Speaker 1: verb it's been taken off because someone didn't ask me. 58 00:03:07,040 --> 00:03:09,239 Speaker 4: It's funny. We've talked to her recently. 59 00:03:09,520 --> 00:03:12,680 Speaker 2: I think we're talking about Airbnb and about, you know, 60 00:03:13,880 --> 00:03:18,400 Speaker 2: the different opinions for what the verb to Airbnb is 61 00:03:18,720 --> 00:03:20,840 Speaker 2: and how that sort of you know, lays the plan 62 00:03:20,960 --> 00:03:23,560 Speaker 2: or the or the blueprint for how it expands into 63 00:03:23,600 --> 00:03:24,560 Speaker 2: different verticals. 64 00:03:24,919 --> 00:03:26,360 Speaker 4: When you when you think. 65 00:03:26,160 --> 00:03:28,799 Speaker 2: About the word gruin now in Australia, is it fair 66 00:03:28,840 --> 00:03:32,240 Speaker 2: to say that its meaning is probably you know, there's 67 00:03:32,320 --> 00:03:35,080 Speaker 2: obviously it still means what it means, but to the 68 00:03:35,160 --> 00:03:38,440 Speaker 2: vast majority of the Australian viewing public, they probably don't 69 00:03:38,480 --> 00:03:42,000 Speaker 2: know about that Austrian social sideist. So the fact that 70 00:03:42,000 --> 00:03:44,440 Speaker 2: you've been able to go into these different verticals, what 71 00:03:44,440 --> 00:03:46,800 Speaker 2: do you think Gruin as a brand stands for at 72 00:03:46,840 --> 00:03:47,240 Speaker 2: the moment? 73 00:03:47,880 --> 00:03:51,440 Speaker 1: That's really I think I think at its best growing 74 00:03:51,520 --> 00:03:54,480 Speaker 1: well grew and stands for sort of let's call it entertainment. 75 00:03:55,480 --> 00:03:59,320 Speaker 1: But I think Gruin works at its best when the 76 00:03:59,480 --> 00:04:07,520 Speaker 1: Gruin personified by Will is cynical, is questioning, questioning the 77 00:04:07,600 --> 00:04:10,280 Speaker 1: role that you know, the world that you and I 78 00:04:10,520 --> 00:04:14,160 Speaker 1: were in free, questioning our role in life. That's when 79 00:04:14,200 --> 00:04:17,520 Speaker 1: it works at its best. Now, whether the public would have, 80 00:04:17,640 --> 00:04:20,479 Speaker 1: you know, make that analysis, I'm not so sure. However, 81 00:04:21,080 --> 00:04:23,640 Speaker 1: the public laugh along with the nonsense that is advertising 82 00:04:23,680 --> 00:04:26,960 Speaker 1: by watching that show, don't they So they can probably 83 00:04:27,000 --> 00:04:30,960 Speaker 1: get to that point. Or do they just say I 84 00:04:31,080 --> 00:04:33,440 Speaker 1: enjoy it because it's funny. Yeah, and in the air, 85 00:04:33,600 --> 00:04:36,760 Speaker 1: I've got to tell you this year it has gone 86 00:04:36,920 --> 00:04:39,760 Speaker 1: up another level when with regard to the humor, they're 87 00:04:39,839 --> 00:04:42,680 Speaker 1: just they're just doing a tremendous job. You know, there's 88 00:04:42,720 --> 00:04:45,479 Speaker 1: a writing There is a writing room. There always has been, 89 00:04:45,480 --> 00:04:49,920 Speaker 1: but there's a writing room. The editing is exceptional, and yeah, 90 00:04:49,920 --> 00:04:52,600 Speaker 1: the product that's been produced is really really good when 91 00:04:52,640 --> 00:04:55,560 Speaker 1: you think it's eighteen years. Eighteen years you reckon the 92 00:04:55,600 --> 00:04:57,720 Speaker 1: people who get tired. Well, actually quite the opposite. 93 00:04:59,000 --> 00:05:02,440 Speaker 2: No, you've I dare say, you figured it out and 94 00:05:02,480 --> 00:05:04,560 Speaker 2: now you're able to sort of week to week take 95 00:05:04,600 --> 00:05:07,880 Speaker 2: bigger and bigger swings, or to act with more confidence, 96 00:05:08,240 --> 00:05:10,720 Speaker 2: which just makes for a better product every year, doesn't it. 97 00:05:10,839 --> 00:05:13,480 Speaker 1: I love it, you know, And it's reminded me of 98 00:05:13,520 --> 00:05:16,880 Speaker 1: an idea which maybe you could take into your agency 99 00:05:16,880 --> 00:05:20,000 Speaker 1: in New York. The notion of a writer's room, a 100 00:05:20,000 --> 00:05:24,360 Speaker 1: writing room, so that obviously it happens in TV and film, 101 00:05:25,040 --> 00:05:27,479 Speaker 1: where you know you'll fill the room with as much 102 00:05:27,520 --> 00:05:30,039 Speaker 1: talent as I suppose the room would fill, or as 103 00:05:30,120 --> 00:05:32,360 Speaker 1: much as you dare. There will be writing rooms, comedic 104 00:05:32,360 --> 00:05:34,719 Speaker 1: writing rooms in New York. They'd be happening right now. 105 00:05:35,360 --> 00:05:36,920 Speaker 1: But the notion of a writing room in the world 106 00:05:36,960 --> 00:05:41,520 Speaker 1: of advertising, I've never heard of it before, and we 107 00:05:41,640 --> 00:05:43,840 Speaker 1: might be revolutionizing advertising right here, Freddie. 108 00:05:44,640 --> 00:05:45,279 Speaker 4: It could be. 109 00:05:45,480 --> 00:05:47,080 Speaker 2: And I tell you what I love about the writing 110 00:05:47,160 --> 00:05:51,040 Speaker 2: room as well, is that it's a physical space. There's 111 00:05:51,040 --> 00:05:54,479 Speaker 2: something in large. There's a lot of politics that goes 112 00:05:54,520 --> 00:05:56,440 Speaker 2: on sort of in rooms, and you're always sort of 113 00:05:56,440 --> 00:06:00,280 Speaker 2: worried about your image. And for a business, I think 114 00:06:00,320 --> 00:06:03,239 Speaker 2: it works for any business really to create a room 115 00:06:03,400 --> 00:06:08,279 Speaker 2: that's dedicated to sort of failing together, a very safe 116 00:06:08,320 --> 00:06:11,120 Speaker 2: space where everyone's just allowed to say, hey, like, what 117 00:06:11,160 --> 00:06:12,040 Speaker 2: do you think is that shit? 118 00:06:12,279 --> 00:06:13,560 Speaker 4: Is this okay? Or something? 119 00:06:13,560 --> 00:06:17,599 Speaker 2: And just to really vomit the ideas with each other. 120 00:06:17,680 --> 00:06:21,760 Speaker 2: I think every house, every home should have, even if 121 00:06:21,800 --> 00:06:25,160 Speaker 2: it's just a cupboard, a small space where you're allowed 122 00:06:25,160 --> 00:06:26,040 Speaker 2: to suck together. 123 00:06:27,240 --> 00:06:29,920 Speaker 1: I love the idea of this, of a writing room 124 00:06:30,000 --> 00:06:33,159 Speaker 1: for ads. I mean it's quite interesting, you know, in 125 00:06:33,200 --> 00:06:39,440 Speaker 1: a pitch situation. Certainly when I was pitching, you'd have 126 00:06:39,520 --> 00:06:41,480 Speaker 1: a team or a couple of teams, and they'd go 127 00:06:41,520 --> 00:06:43,400 Speaker 1: off and they'd be in their own room together, just 128 00:06:43,440 --> 00:06:45,359 Speaker 1: you know, the art director and the writer in the 129 00:06:45,400 --> 00:06:49,040 Speaker 1: traditional sense I don't think i've actually ever experienced. Let's 130 00:06:49,040 --> 00:06:51,200 Speaker 1: put six really smart people in the one room at 131 00:06:51,200 --> 00:06:53,159 Speaker 1: the one time and get them to crack it. What 132 00:06:53,240 --> 00:06:55,240 Speaker 1: an obvious idea, What an obvious notion? 133 00:06:55,400 --> 00:06:55,800 Speaker 4: They'll tell you. 134 00:06:55,800 --> 00:06:57,840 Speaker 2: What it's making me think of is a place that 135 00:06:58,160 --> 00:06:59,839 Speaker 2: I don't know what they are even, but I know 136 00:06:59,920 --> 00:07:01,760 Speaker 2: that one day I really want to work at a 137 00:07:01,839 --> 00:07:06,520 Speaker 2: think tank. I like the idea of going to work 138 00:07:06,640 --> 00:07:07,400 Speaker 2: in a think tank. 139 00:07:08,440 --> 00:07:13,520 Speaker 1: I could not agree with you more freddy social social ideas, 140 00:07:13,600 --> 00:07:18,760 Speaker 1: experimentation around, you know, new regimes, new taxes, even freddy, 141 00:07:19,120 --> 00:07:21,160 Speaker 1: even a new tax could be interesting if you're doing 142 00:07:21,200 --> 00:07:22,360 Speaker 1: it in a think tank. 143 00:07:22,960 --> 00:07:26,120 Speaker 4: Exactly, I'd love it. 144 00:07:26,120 --> 00:07:29,560 Speaker 2: It's just to be surrounded by no intelligent people that's 145 00:07:30,320 --> 00:07:33,239 Speaker 2: giving it their best and being a little self conscious 146 00:07:33,280 --> 00:07:34,440 Speaker 2: maybe or maybe the opposite of it. 147 00:07:34,440 --> 00:07:38,080 Speaker 1: Speaking of a thing, Well, yeah, I'm speaking of think tank. 148 00:07:38,160 --> 00:07:40,520 Speaker 1: So I was just some reading over the weekend with 149 00:07:40,560 --> 00:07:42,600 Speaker 1: regard to AI and what AI is going to do 150 00:07:42,680 --> 00:07:45,040 Speaker 1: to in particular the white let's call it white collar, 151 00:07:45,440 --> 00:07:48,720 Speaker 1: the white collar world, you know. In the prediction that 152 00:07:48,760 --> 00:07:50,800 Speaker 1: I read was that twenty percent of white collar jobs 153 00:07:50,800 --> 00:07:54,320 Speaker 1: will be gone within five years, which of course reminds 154 00:07:54,400 --> 00:07:59,200 Speaker 1: us of that that that Kodak case study, when you know, 155 00:07:59,400 --> 00:08:02,600 Speaker 1: consultants came into Kodak and said, well, look, this digital 156 00:08:02,680 --> 00:08:04,440 Speaker 1: camera thing, it is a bit of an issue for you, 157 00:08:05,800 --> 00:08:07,360 Speaker 1: and so here's what we think is going to happen 158 00:08:07,400 --> 00:08:10,680 Speaker 1: to your business over the course of the next four years, 159 00:08:10,680 --> 00:08:13,920 Speaker 1: Like your business won't exist in four years time. And 160 00:08:14,000 --> 00:08:18,240 Speaker 1: then of course Kodak got to the point where their 161 00:08:18,240 --> 00:08:20,440 Speaker 1: business didn't exist. I think I'm right and saying it 162 00:08:20,480 --> 00:08:24,400 Speaker 1: wasn't four years, it was four months. So yeah, yeah. 163 00:08:24,480 --> 00:08:29,200 Speaker 1: So the idea, the idea that all the prediction twenty 164 00:08:29,200 --> 00:08:32,920 Speaker 1: percent of white collar workers will lose their jobs because 165 00:08:32,920 --> 00:08:37,360 Speaker 1: of AI. I'm not surprised by that number. Are you 166 00:08:37,400 --> 00:08:38,079 Speaker 1: surprised by that? 167 00:08:38,280 --> 00:08:38,480 Speaker 2: No? 168 00:08:38,720 --> 00:08:41,199 Speaker 4: Not really, I am skeptical at times. 169 00:08:41,280 --> 00:08:45,480 Speaker 2: I know there's there are certainly hiring freezers at the moment, 170 00:08:45,559 --> 00:08:47,240 Speaker 2: and it does seem to look like the numbers do 171 00:08:47,360 --> 00:08:49,319 Speaker 2: show that at the you know, let's call it the 172 00:08:49,360 --> 00:08:53,000 Speaker 2: bottom rung, the entry level positions, they are starting to 173 00:08:53,040 --> 00:08:58,560 Speaker 2: feel the gates of entry getting thinner and thinner. So 174 00:08:58,600 --> 00:09:00,679 Speaker 2: I wonder if it's going to be one day we 175 00:09:00,920 --> 00:09:03,400 Speaker 2: walk into the office and they say, hey, you're all gone, 176 00:09:03,920 --> 00:09:07,160 Speaker 2: or if it's going to be slowly over time and 177 00:09:08,000 --> 00:09:11,160 Speaker 2: you know, we just the number of people coming into 178 00:09:11,840 --> 00:09:14,160 Speaker 2: the office gets slower and slower, and you know, one 179 00:09:14,240 --> 00:09:16,760 Speaker 2: day we wake up and go, hey, where did everyone go? 180 00:09:17,600 --> 00:09:21,319 Speaker 1: Well, maybe I think the other prediction in this particular 181 00:09:21,400 --> 00:09:24,839 Speaker 1: article finn Review Week in finn was fifty percent of 182 00:09:24,880 --> 00:09:27,800 Speaker 1: graduate jobs won't exist. And I can actually see that 183 00:09:27,880 --> 00:09:32,400 Speaker 1: as well, because if you know, if you know that 184 00:09:33,120 --> 00:09:36,640 Speaker 1: AI is going to change your workplace, what you will do, 185 00:09:36,800 --> 00:09:38,400 Speaker 1: I think is just you know, I'm not going to 186 00:09:38,400 --> 00:09:42,760 Speaker 1: employ ten graduates all employ five, because that's not such 187 00:09:42,760 --> 00:09:46,080 Speaker 1: a tough decision to make as as the workplace, you know, 188 00:09:46,280 --> 00:09:50,880 Speaker 1: reshapes itself. And of course the other prediction was, so 189 00:09:51,000 --> 00:09:53,520 Speaker 1: guess who will be at the top of the list 190 00:09:53,840 --> 00:10:00,520 Speaker 1: for headcount loss as a result of AI Those that 191 00:10:00,559 --> 00:10:05,120 Speaker 1: are working from home? So you can just so see that, 192 00:10:05,160 --> 00:10:08,520 Speaker 1: can't You aren't if you're part of a large corporation. 193 00:10:09,080 --> 00:10:10,920 Speaker 1: Let's say you're part of a telco, just you know, 194 00:10:11,080 --> 00:10:13,240 Speaker 1: just to pick an industry. You're part of a telco, 195 00:10:13,720 --> 00:10:16,200 Speaker 1: You've spent the last five years working from home. You've 196 00:10:16,240 --> 00:10:19,200 Speaker 1: lost your relationship really with the corporation and with your colleagues. 197 00:10:20,320 --> 00:10:23,959 Speaker 1: AI is proving that, you know, we can afford to 198 00:10:24,000 --> 00:10:26,160 Speaker 1: have some job losses. Who's going to lose their jobs? 199 00:10:27,160 --> 00:10:29,000 Speaker 2: You know, the people that are already essentially at this 200 00:10:29,080 --> 00:10:33,439 Speaker 2: point a screens. You know, if I'm going to interact 201 00:10:33,440 --> 00:10:35,560 Speaker 2: with the screen, you know, why don't we get a 202 00:10:35,600 --> 00:10:38,680 Speaker 2: very cheap screen? I can see, I can see the 203 00:10:38,760 --> 00:10:41,760 Speaker 2: logic there. What my conspiracy theory with it as well. 204 00:10:42,160 --> 00:10:45,400 Speaker 2: A lot of the time twofold is that you know, 205 00:10:45,440 --> 00:10:50,320 Speaker 2: the capability isn't just quite there yet. I think sometimes 206 00:10:50,360 --> 00:10:53,200 Speaker 2: AI I have the sneaking suspicion that it might just 207 00:10:53,280 --> 00:10:55,200 Speaker 2: for a lot of organizations at least be a bit 208 00:10:55,200 --> 00:10:59,640 Speaker 2: of a smoke screen for offshoring of jobs. And a 209 00:10:59,640 --> 00:11:01,240 Speaker 2: lot of the time I've seen it in the news 210 00:11:01,400 --> 00:11:05,560 Speaker 2: whenever people start saying things like we're going AI first now, 211 00:11:05,880 --> 00:11:10,520 Speaker 2: it seems to me like a means by which founders, 212 00:11:10,600 --> 00:11:15,160 Speaker 2: especially owner operators, are trying to sort of regain control 213 00:11:15,840 --> 00:11:20,760 Speaker 2: of their organization. They want to be less people, less discussions. 214 00:11:21,160 --> 00:11:24,880 Speaker 2: They really seduced by the idea that no longer is 215 00:11:24,880 --> 00:11:26,960 Speaker 2: it sort of going to be a committee or anything. 216 00:11:26,960 --> 00:11:29,880 Speaker 2: It's just going to be fewer people and smaller teams 217 00:11:29,920 --> 00:11:32,840 Speaker 2: being able to move much faster and more importantly in 218 00:11:32,880 --> 00:11:34,640 Speaker 2: the direction that the founder would. 219 00:11:34,400 --> 00:11:35,080 Speaker 4: Like them to go. 220 00:11:36,520 --> 00:11:38,800 Speaker 1: Right, I understand, and I think what would happen well, 221 00:11:38,800 --> 00:11:40,640 Speaker 1: I think is going to happen in our world in 222 00:11:40,640 --> 00:11:44,240 Speaker 1: the advertising production world, advertising and media and the digitize, 223 00:11:44,320 --> 00:11:50,360 Speaker 1: the ever more digitization of the creative work and the media. Gee, 224 00:11:50,360 --> 00:11:51,920 Speaker 1: a lot of it's going to be made by machines, 225 00:11:51,920 --> 00:11:57,200 Speaker 1: isn't it Yep, Yes, a lot of it is going 226 00:11:57,240 --> 00:12:01,000 Speaker 1: to be made by machines, that does. I do think 227 00:12:01,120 --> 00:12:03,600 Speaker 1: that dars open up an opportunity for the stuff that 228 00:12:03,760 --> 00:12:07,880 Speaker 1: isn't made by machines. Nonetheless, there will be a huge 229 00:12:08,000 --> 00:12:13,280 Speaker 1: volume of in the main unwatchable. 230 00:12:14,720 --> 00:12:15,880 Speaker 4: Yes, pretty much. 231 00:12:17,960 --> 00:12:20,920 Speaker 2: Interesting it is it is, and I think the one 232 00:12:20,920 --> 00:12:22,839 Speaker 2: thing I can't remember what the name. It's some sort 233 00:12:22,840 --> 00:12:25,800 Speaker 2: of paradox though, where things are going to get cheaper 234 00:12:25,800 --> 00:12:30,880 Speaker 2: to make, and so as the cost of production comes down, 235 00:12:31,320 --> 00:12:33,000 Speaker 2: it holds that we're actually going to see a lot 236 00:12:33,200 --> 00:12:37,040 Speaker 2: more stuff, which would indicate that rather than just outright 237 00:12:37,200 --> 00:12:41,240 Speaker 2: losing jobs. There'll be some rounds upfront, of course, but 238 00:12:41,480 --> 00:12:44,000 Speaker 2: over time it would tend to suggest we're going to 239 00:12:44,000 --> 00:12:46,959 Speaker 2: see a lot more jobs making. Yes, in a lot 240 00:12:46,960 --> 00:12:51,400 Speaker 2: of instances, more and worse stuff. But that's one thing 241 00:12:51,440 --> 00:12:54,040 Speaker 2: that sort of keeps me, I guess a little optimistic. 242 00:12:57,960 --> 00:13:01,760 Speaker 1: About speaking of optimism and progress and the world of AI. 243 00:13:02,679 --> 00:13:05,160 Speaker 1: So you sent me a film that I that I 244 00:13:05,200 --> 00:13:06,280 Speaker 1: had to endure. 245 00:13:06,679 --> 00:13:08,120 Speaker 4: Yes, so it was. 246 00:13:08,200 --> 00:13:12,920 Speaker 2: Last week Open Ai released a long but beautifully shot 247 00:13:13,040 --> 00:13:16,559 Speaker 2: video of two men meeting at a cafe in San Francisco, 248 00:13:16,880 --> 00:13:19,120 Speaker 2: and those two men were Sam Oltman, who was the 249 00:13:19,160 --> 00:13:22,679 Speaker 2: CEO of open Ai, and Sir Johnny Ive who is 250 00:13:22,720 --> 00:13:26,560 Speaker 2: an industrial designer, the ex chief design officer at Apple 251 00:13:26,600 --> 00:13:30,040 Speaker 2: where he built the iPhone and the MacBook Pro. And 252 00:13:30,160 --> 00:13:33,280 Speaker 2: they together are discussing with each other and also to 253 00:13:33,400 --> 00:13:37,480 Speaker 2: camera the fact that Johnny's product and engineering company Io 254 00:13:38,120 --> 00:13:42,080 Speaker 2: is merging with open Ai, their mission being to create 255 00:13:42,200 --> 00:13:46,760 Speaker 2: a family of devices, so hardware and instead of us, 256 00:13:46,800 --> 00:13:49,680 Speaker 2: you know, making our listeners sit through it all. I 257 00:13:49,720 --> 00:13:54,040 Speaker 2: think the key moment of the video, or the problem, 258 00:13:54,120 --> 00:13:57,160 Speaker 2: the key thesis, as Sam Oltman puts it, is he 259 00:13:57,240 --> 00:14:00,560 Speaker 2: describes that, you know, we have like magic intelligen in 260 00:14:00,600 --> 00:14:02,680 Speaker 2: the cloud, but if I want to ask chat JBT 261 00:14:02,920 --> 00:14:05,320 Speaker 2: something right now, I'd have to get out my laptop. 262 00:14:05,400 --> 00:14:07,720 Speaker 2: I'd have to launch the Internet, I'd start typing, and 263 00:14:07,760 --> 00:14:10,960 Speaker 2: I'd have to like explain that thing. And you know, 264 00:14:11,000 --> 00:14:13,000 Speaker 2: we're sort of at the limit of what a laptop 265 00:14:13,080 --> 00:14:16,440 Speaker 2: can do. And so it sounds like they're gunning for 266 00:14:16,840 --> 00:14:19,040 Speaker 2: a wearable and so we'll get to the rumors of 267 00:14:19,080 --> 00:14:21,600 Speaker 2: what they're actually going to build. But other than that, 268 00:14:21,640 --> 00:14:24,360 Speaker 2: the video is pretty light on details. So if they're 269 00:14:24,360 --> 00:14:27,760 Speaker 2: not selling a particular product here, Russ. What are they 270 00:14:27,840 --> 00:14:28,400 Speaker 2: selling us? 271 00:14:30,920 --> 00:14:34,400 Speaker 1: Well, they're selling us themselves. I mean when I had 272 00:14:34,400 --> 00:14:36,520 Speaker 1: a look at that film, my immediate reaction to it 273 00:14:36,640 --> 00:14:39,440 Speaker 1: was ge whiz only in America, you know, I mean 274 00:14:39,880 --> 00:14:44,200 Speaker 1: just and it really is. It really is writ large 275 00:14:44,600 --> 00:14:51,360 Speaker 1: the difference between the American economy and ours, the Australian economy. 276 00:14:51,640 --> 00:14:56,280 Speaker 1: And what I mean by that is that it showbiz right. 277 00:14:56,440 --> 00:14:59,560 Speaker 1: Like literally the founder Sam, the founder Sam and founder Johnny. 278 00:15:00,280 --> 00:15:03,200 Speaker 1: They literally they believe it's okay to make a film 279 00:15:03,200 --> 00:15:07,640 Speaker 1: about themselves and the you know, the marriage that they 280 00:15:07,800 --> 00:15:11,160 Speaker 1: are about to create in order to create even more 281 00:15:11,280 --> 00:15:16,040 Speaker 1: value and even more ideas and more progress. Now I'm 282 00:15:16,080 --> 00:15:18,920 Speaker 1: not knocking it. I wish that we were like that. 283 00:15:19,160 --> 00:15:23,040 Speaker 1: I would love the idea that a couple of Australian entrepreneurs, 284 00:15:23,440 --> 00:15:25,560 Speaker 1: we're happy to make a film about meeting in a 285 00:15:25,600 --> 00:15:28,760 Speaker 1: cafe or a pub to talk about the next brilliant 286 00:15:28,760 --> 00:15:30,760 Speaker 1: thing that they're about to produce. But we at a 287 00:15:30,880 --> 00:15:33,920 Speaker 1: so far away from ever ever being in a position 288 00:15:33,960 --> 00:15:35,600 Speaker 1: where culturally that would be acceptable. 289 00:15:35,760 --> 00:15:37,080 Speaker 4: It's it's a very good point. 290 00:15:37,120 --> 00:15:40,400 Speaker 2: It's funny how they get around the facts that they 291 00:15:40,400 --> 00:15:44,760 Speaker 2: are just creating this really self aggrandizing video by having 292 00:15:44,760 --> 00:15:48,760 Speaker 2: each other describe the other. So Johnny's describing Altman as 293 00:15:49,000 --> 00:15:53,400 Speaker 2: bearing this huge responsibility, but it's still humble and curious, 294 00:15:53,560 --> 00:15:57,760 Speaker 2: and Johnny is quoite, the deepest thinker in the world. 295 00:15:57,440 --> 00:15:58,760 Speaker 4: And he has a lovely family. 296 00:15:59,080 --> 00:16:02,600 Speaker 2: And you just watching this saying what's going on right now? 297 00:16:03,720 --> 00:16:07,560 Speaker 1: I watched it exactly what. Okay, So my question to 298 00:16:07,640 --> 00:16:11,360 Speaker 1: you is, that's very difficult for that to work in Australia, 299 00:16:11,360 --> 00:16:14,960 Speaker 1: But does that work in America? What's your experience? Obviously 300 00:16:14,960 --> 00:16:17,240 Speaker 1: you're living there, you've seen the film wells being there. 301 00:16:17,280 --> 00:16:21,240 Speaker 1: What's your experience with regard to how it's been received 302 00:16:21,360 --> 00:16:22,000 Speaker 1: in the US? 303 00:16:22,440 --> 00:16:26,840 Speaker 2: I think it's it's funny with the news, so it's 304 00:16:26,880 --> 00:16:31,360 Speaker 2: you're very right that it's it's not shocking, and the 305 00:16:31,400 --> 00:16:34,720 Speaker 2: new cycles such as it is, that it wasn't overly 306 00:16:34,800 --> 00:16:37,160 Speaker 2: discussed too much. People were very quick just to get 307 00:16:37,200 --> 00:16:39,480 Speaker 2: into the details of this being I think the most 308 00:16:39,480 --> 00:16:44,400 Speaker 2: expensive aquahigher, or maybe the second most expensive aquahigher in history. 309 00:16:44,520 --> 00:16:48,000 Speaker 2: And so for all the theater and whatnot, it's it's 310 00:16:48,000 --> 00:16:50,960 Speaker 2: almost table stakes to be this self aggrandizing and this 311 00:16:51,760 --> 00:16:55,440 Speaker 2: to paint an image of oneself as something like a 312 00:16:55,480 --> 00:16:59,000 Speaker 2: deep thinking god is kind of par for the course 313 00:16:59,280 --> 00:17:00,800 Speaker 2: in tech right now, right, isn't it? 314 00:17:01,120 --> 00:17:05,880 Speaker 1: Yeah? Yes, no, I agree, And so my I suppose 315 00:17:05,880 --> 00:17:10,359 Speaker 1: my assumption is that you know, you, there's probably an 316 00:17:10,400 --> 00:17:13,960 Speaker 1: investment community that would get excited about it, and the 317 00:17:14,000 --> 00:17:16,919 Speaker 1: community I'm imagining just just as I say, they just 318 00:17:16,960 --> 00:17:21,160 Speaker 1: get pumped by the notion that so Johnny and Sam 319 00:17:21,240 --> 00:17:23,080 Speaker 1: are going to get together to create something brand new, 320 00:17:23,119 --> 00:17:26,120 Speaker 1: and they just they just go, this is exciting. Where 321 00:17:26,119 --> 00:17:29,959 Speaker 1: do I point my money? Right? Because the I mean 322 00:17:30,040 --> 00:17:33,320 Speaker 1: my time in New York, you know, I remember fondly. 323 00:17:33,440 --> 00:17:36,760 Speaker 1: Really the vast majority of conversations that you would have 324 00:17:37,320 --> 00:17:39,800 Speaker 1: over lunch or at dinner or whatever, is in fact 325 00:17:39,800 --> 00:17:45,600 Speaker 1: about ideas, investments, companies that are going well, outstanding executives. 326 00:17:45,720 --> 00:17:48,320 Speaker 1: It is like we might talk about footy. 327 00:17:48,480 --> 00:17:54,399 Speaker 2: Yeah yeah, yeah, about Collingwood. They speak about ideas the 328 00:17:54,440 --> 00:17:57,920 Speaker 2: way we speak about Collingwood's frontline exactly. 329 00:17:58,040 --> 00:17:59,160 Speaker 4: It's much fashioned. 330 00:17:59,760 --> 00:18:03,040 Speaker 2: It's funny just to touch on the language that we've 331 00:18:03,040 --> 00:18:07,120 Speaker 2: gotten so used to hearing from these people. Towards the end, 332 00:18:07,200 --> 00:18:09,640 Speaker 2: when Sam Oltman says, I think this will be one 333 00:18:09,640 --> 00:18:12,480 Speaker 2: of those moments of just an absolute and that he 334 00:18:12,520 --> 00:18:16,800 Speaker 2: does the dramatic pause, an absolute embarrassment of riches of 335 00:18:16,840 --> 00:18:20,400 Speaker 2: what people go create for collective society, and Johnny says, 336 00:18:20,600 --> 00:18:23,639 Speaker 2: I am absolutely certain that we are literally on the 337 00:18:23,680 --> 00:18:26,360 Speaker 2: brink of a new generation of technology that can make 338 00:18:26,440 --> 00:18:32,080 Speaker 2: us our better selves. Like the Mayo on this is incredible. 339 00:18:32,400 --> 00:18:36,000 Speaker 1: Right but parf the course right now, wearable. I think 340 00:18:36,000 --> 00:18:40,959 Speaker 1: wearables are really interesting. So I mean you can already 341 00:18:41,000 --> 00:18:42,760 Speaker 1: get a pair of ray bands, can you not? Which 342 00:18:42,800 --> 00:18:45,399 Speaker 1: have got the cameras and you can do the Google 343 00:18:45,440 --> 00:18:49,040 Speaker 1: search and you can listen via the arms on the sunglasses. 344 00:18:49,119 --> 00:18:51,000 Speaker 1: I've been meaning to get myself a pair of those, 345 00:18:51,040 --> 00:18:54,040 Speaker 1: because that strikes me is actually a really good idea. 346 00:18:54,119 --> 00:18:56,040 Speaker 1: How are they going in the US? You hardly see 347 00:18:56,080 --> 00:18:58,240 Speaker 1: anyone wearing them here well, and that's. 348 00:18:58,080 --> 00:19:01,200 Speaker 2: Honestly, Russ. It gives Yeah, I'm selling hard right now. 349 00:19:01,200 --> 00:19:06,760 Speaker 2: We've got metas ray bands. You've also got so that 350 00:19:06,920 --> 00:19:11,000 Speaker 2: video from open Ai, I think was purposefully timed to 351 00:19:11,080 --> 00:19:14,600 Speaker 2: release at the same time as Google Io twenty twenty five, 352 00:19:14,680 --> 00:19:18,640 Speaker 2: so they're big festival and they were demoing their new 353 00:19:18,920 --> 00:19:24,080 Speaker 2: Android XR prototype glasses. So you have open Ai, Google 354 00:19:24,400 --> 00:19:26,920 Speaker 2: and you know, we know Apple's done their vision. Recently, 355 00:19:27,000 --> 00:19:33,040 Speaker 2: everyone is racing towards a wearables and to these glasses. 356 00:19:33,080 --> 00:19:35,359 Speaker 2: And one thing that just gives me so much joy 357 00:19:35,560 --> 00:19:40,240 Speaker 2: is that we as a society have repeated have repeatedly 358 00:19:40,320 --> 00:19:44,080 Speaker 2: said no to these things. It feels like once every 359 00:19:44,119 --> 00:19:47,040 Speaker 2: three months, some billionaire pops up and tells us to 360 00:19:47,080 --> 00:19:50,440 Speaker 2: get in the helmet and we say no, thank you. 361 00:19:51,280 --> 00:19:52,680 Speaker 4: He why would I do that? 362 00:19:52,760 --> 00:19:56,240 Speaker 2: So do you think, like, does computing need this form? 363 00:19:56,359 --> 00:19:59,360 Speaker 2: Is this natural? Or are they just inventing a problem. 364 00:20:00,040 --> 00:20:02,920 Speaker 1: Oh, there's no doubt in my mind that wearable. Let's 365 00:20:02,960 --> 00:20:05,240 Speaker 1: just go with the glasses. There's no doubt in my 366 00:20:05,320 --> 00:20:08,880 Speaker 1: mind that the vast majority of humans on Earth will 367 00:20:08,880 --> 00:20:12,920 Speaker 1: be wearing those classes within before this decade's out. I'm 368 00:20:12,960 --> 00:20:15,480 Speaker 1: convinced of that. You know, I think that they're just 369 00:20:15,520 --> 00:20:20,080 Speaker 1: going to be the utilitarian must have. Genuinely, I think 370 00:20:20,080 --> 00:20:23,040 Speaker 1: that's what's going to happen, because you can just see 371 00:20:23,040 --> 00:20:25,200 Speaker 1: so many practical uses and not the least of which 372 00:20:25,600 --> 00:20:30,000 Speaker 1: they then do a co lab with let's say, well 373 00:20:30,040 --> 00:20:32,280 Speaker 1: as they have done with a ray ban, so they 374 00:20:32,280 --> 00:20:34,119 Speaker 1: don't have to look clunky, they can look cool, they 375 00:20:34,160 --> 00:20:36,920 Speaker 1: can look as cool. You know, the glasses that I've got. 376 00:20:37,040 --> 00:20:38,840 Speaker 1: I rather they love the classes I'm wearing at the moment. 377 00:20:39,119 --> 00:20:42,680 Speaker 1: So if they can be turned into a wearable which 378 00:20:42,680 --> 00:20:45,800 Speaker 1: has got all the joys of modern tech involved, I'm 379 00:20:45,840 --> 00:20:48,880 Speaker 1: going to bring it on. I mean, look, Freddie, maybe 380 00:20:48,920 --> 00:20:50,359 Speaker 1: this is something that happens as you get older. As 381 00:20:50,359 --> 00:20:51,960 Speaker 1: you get older, you get more and more nervous about 382 00:20:52,000 --> 00:20:54,679 Speaker 1: someone's name that you've forgotten. So I'm imagining that my 383 00:20:54,800 --> 00:20:56,920 Speaker 1: glasses are going to look over there's Genevieve over there, 384 00:20:57,280 --> 00:21:00,119 Speaker 1: she's our producer. If I've had a senior moment, I've 385 00:21:00,119 --> 00:21:02,919 Speaker 1: forgotten Genevieve's name. It's just my glasses. They're just going 386 00:21:02,960 --> 00:21:05,160 Speaker 1: to tell me. They're going to say, there's Jen right, 387 00:21:05,480 --> 00:21:09,159 Speaker 1: and by the way, she produces admission. So I feel 388 00:21:09,200 --> 00:21:13,600 Speaker 1: like I'm very convinced that that's the case. And then 389 00:21:13,640 --> 00:21:18,439 Speaker 1: what will then happen is the robots, Tesla robots, the 390 00:21:18,520 --> 00:21:21,440 Speaker 1: Tesla robot, and you're wearable. They're going to be best 391 00:21:21,440 --> 00:21:23,840 Speaker 1: friends and they're going to help you have a I hope, 392 00:21:24,119 --> 00:21:27,160 Speaker 1: have a better life. There is, though, that nonsense where 393 00:21:27,240 --> 00:21:29,520 Speaker 1: Zuckerberg said the other day that he's excited about AI 394 00:21:29,600 --> 00:21:31,880 Speaker 1: because he thinks it's going to solve loneliness. I mean, 395 00:21:32,080 --> 00:21:37,320 Speaker 1: give me a break, it'll do the opposite. So there's anyway, 396 00:21:37,440 --> 00:21:39,520 Speaker 1: there's a lot of there's a lot changing for Addie. 397 00:21:39,400 --> 00:21:44,639 Speaker 2: There's a lot changing. And yeah, I'm it's it's it's funny. 398 00:21:44,640 --> 00:21:47,560 Speaker 2: That does seem to be I totally get it. We 399 00:21:47,640 --> 00:21:50,359 Speaker 2: sort of in some ways treat it as inevitable that 400 00:21:50,400 --> 00:21:52,280 Speaker 2: we're all going to be doing this, but we're also 401 00:21:52,520 --> 00:21:57,040 Speaker 2: all very cognizance of the risks of it. No one 402 00:21:57,080 --> 00:22:00,000 Speaker 2: wants to be receiving ads against their eyes. We're all 403 00:22:00,119 --> 00:22:04,000 Speaker 2: terrified of, you know, atrophying our brain muscles as well. 404 00:22:04,080 --> 00:22:08,160 Speaker 2: And I think it's it's interesting to see. I think 405 00:22:09,359 --> 00:22:11,240 Speaker 2: open Aye is going to be interesting because I don't 406 00:22:11,240 --> 00:22:14,159 Speaker 2: think they're going for glasses. They're going to have like 407 00:22:14,320 --> 00:22:16,840 Speaker 2: a pin. I think it's rumored something that will like 408 00:22:16,880 --> 00:22:21,040 Speaker 2: a broach on a brooch on your shirt and we'll 409 00:22:21,040 --> 00:22:23,520 Speaker 2: have a little camera and you can check your phone 410 00:22:23,600 --> 00:22:25,959 Speaker 2: and maybe in your headphones it might speak to you 411 00:22:26,680 --> 00:22:29,560 Speaker 2: through that. So I think they're smart to not go 412 00:22:29,800 --> 00:22:34,000 Speaker 2: directly for the glasses because I think there's there's something 413 00:22:34,119 --> 00:22:39,560 Speaker 2: to get over the fact that I don't. I'm going 414 00:22:39,600 --> 00:22:42,080 Speaker 2: to feel uncomfortable if everyone I'm talking to is wearing 415 00:22:42,119 --> 00:22:47,879 Speaker 2: a body cam, you know. Ah, it's this surveillance constant 416 00:22:48,000 --> 00:22:50,720 Speaker 2: and the fact that you're being filmed at all time, Like, 417 00:22:50,840 --> 00:22:54,280 Speaker 2: I think there's something there that no one's really addressing. 418 00:22:54,880 --> 00:22:58,159 Speaker 2: That we're all going to be on record all of 419 00:22:58,200 --> 00:23:01,760 Speaker 2: the time, which is a big barrier for us to 420 00:23:01,800 --> 00:23:02,200 Speaker 2: get over. 421 00:23:03,680 --> 00:23:07,479 Speaker 1: I went to a pizza making lesson the other day, Freddie, 422 00:23:08,000 --> 00:23:12,280 Speaker 1: and the pizza maker had his ray Ban camera glasses 423 00:23:12,280 --> 00:23:16,920 Speaker 1: on and and he said to us, you know, warning, 424 00:23:17,400 --> 00:23:22,320 Speaker 1: I am filming the the pizza making lesson, and he 425 00:23:22,400 --> 00:23:24,520 Speaker 1: was filming it because he then turned that into like 426 00:23:24,600 --> 00:23:30,080 Speaker 1: within minutes, content content for his pizza making website. And 427 00:23:30,320 --> 00:23:33,240 Speaker 1: I thought, well, I wasn't really offended by the fact 428 00:23:33,240 --> 00:23:38,359 Speaker 1: that he was filming, you know, the class. So I 429 00:23:38,400 --> 00:23:39,959 Speaker 1: don't know, Freddy. I think people, I think we might 430 00:23:40,000 --> 00:23:43,000 Speaker 1: get over it quite quickly. You know. It's like I 431 00:23:43,000 --> 00:23:45,960 Speaker 1: remember very well the first person I saw speaking on 432 00:23:46,119 --> 00:23:48,840 Speaker 1: the tram on a mobile phone, and it was like, 433 00:23:50,480 --> 00:23:54,879 Speaker 1: do you reckon? You are dickhead? Right, Yeah, Within a 434 00:23:54,880 --> 00:23:57,080 Speaker 1: couple of weeks, everyone's on the mobile phone on the tram, 435 00:23:57,160 --> 00:23:59,679 Speaker 1: so I think that these things they do because in 436 00:23:59,680 --> 00:24:02,399 Speaker 1: the end, the utility of it is what outs it. 437 00:24:02,800 --> 00:24:04,760 Speaker 1: Utility will out I reckon. 438 00:24:04,800 --> 00:24:06,600 Speaker 4: It's yeah, I mean, God help us. 439 00:24:07,160 --> 00:24:11,280 Speaker 2: I think you're right, it's coming, but I'm not excited 440 00:24:11,280 --> 00:24:11,679 Speaker 2: about it. 441 00:24:11,760 --> 00:24:16,359 Speaker 1: Rus tell me about web tunes, web tunes. 442 00:24:16,119 --> 00:24:16,680 Speaker 4: Web turons. 443 00:24:16,760 --> 00:24:19,640 Speaker 2: Yeah, yeah, I mean so like Tobacco, I was so. 444 00:24:19,720 --> 00:24:21,200 Speaker 2: My neighbor very. 445 00:24:21,200 --> 00:24:23,720 Speaker 4: Kindly invited me to a party this week. 446 00:24:23,800 --> 00:24:27,960 Speaker 2: At party they were hosting downstairs, and everyone there that 447 00:24:28,440 --> 00:24:33,920 Speaker 2: the neighbors in publishing, and everyone there was in publishing, naturally, 448 00:24:34,240 --> 00:24:38,760 Speaker 2: and it was it was I spent most I'm so 449 00:24:38,880 --> 00:24:42,760 Speaker 2: ashamed of how I was acting because everyone just kept 450 00:24:42,760 --> 00:24:46,680 Speaker 2: mentioning books as if everyone just reads like all of them. 451 00:24:46,560 --> 00:24:47,040 Speaker 4: All the time. 452 00:24:47,080 --> 00:24:48,960 Speaker 2: You read a lot of books, yeah, but these people 453 00:24:49,040 --> 00:24:53,200 Speaker 2: are on another level. They'd say like, oh, well, yeah, 454 00:24:52,080 --> 00:24:58,280 Speaker 2: I'm I've just come off the back end of Emma Desktops. 455 00:24:58,800 --> 00:25:00,760 Speaker 2: You know, we all wear up, and I'd have to 456 00:25:00,760 --> 00:25:04,959 Speaker 2: be like, oh, that was you, congratulations, that's awesome. But 457 00:25:05,040 --> 00:25:08,479 Speaker 2: I regret asking or not asking, like, how do you 458 00:25:08,560 --> 00:25:12,359 Speaker 2: all have the time to read all of this book? 459 00:25:12,440 --> 00:25:15,520 Speaker 2: Surely no one has time for this anymore. And that's 460 00:25:15,520 --> 00:25:18,639 Speaker 2: why I was so excited when I found out this 461 00:25:18,680 --> 00:25:23,159 Speaker 2: week about something called webterns. So this is this is 462 00:25:23,240 --> 00:25:26,800 Speaker 2: something coming out of South Korea and it's essentially digital 463 00:25:26,960 --> 00:25:31,200 Speaker 2: comics designed for vertical scrolling on smartphones. 464 00:25:31,760 --> 00:25:36,119 Speaker 1: So I've been seriously how obvious obvious? 465 00:25:36,400 --> 00:25:41,120 Speaker 2: It's so obvious, and yet it's just no one's for 466 00:25:41,160 --> 00:25:41,879 Speaker 2: whatever reason. 467 00:25:41,880 --> 00:25:42,959 Speaker 1: I've been like, one's done it. 468 00:25:43,200 --> 00:25:43,920 Speaker 2: Yes, we've been. 469 00:25:44,320 --> 00:25:45,480 Speaker 4: I've been thinking about it. 470 00:25:45,520 --> 00:25:47,320 Speaker 2: I've been talking about it for a while, ever since 471 00:25:48,000 --> 00:25:51,080 Speaker 2: a Cantar report last year came out saying that Australian's 472 00:25:51,560 --> 00:25:54,920 Speaker 2: what is it one in three Australian students can't read proficiently, 473 00:25:55,480 --> 00:25:58,320 Speaker 2: saying okay, well maybe it's time we revisit the book. 474 00:25:58,600 --> 00:26:01,600 Speaker 2: And South Korea is only bloody gone and done it 475 00:26:02,440 --> 00:26:06,399 Speaker 2: with this vertical scrolling. So right now, the market for 476 00:26:06,480 --> 00:26:10,320 Speaker 2: web turns is valued at about nine billion dollars, so 477 00:26:10,359 --> 00:26:12,879 Speaker 2: that was in twenty twenty four. They're expecting it to 478 00:26:12,920 --> 00:26:17,240 Speaker 2: be worth nearly one hundred billion by twenty thirty three. 479 00:26:17,480 --> 00:26:21,320 Speaker 2: So this is a huge, huge industry. 480 00:26:21,480 --> 00:26:23,120 Speaker 1: And the fact that it's what I need to do. 481 00:26:23,359 --> 00:26:25,280 Speaker 1: I suppose I just need to Google search web two. 482 00:26:25,480 --> 00:26:27,640 Speaker 2: Yes, so there are I think there are two main 483 00:26:27,800 --> 00:26:30,840 Speaker 2: platforms you go to right now, web Turn and Cacao 484 00:26:31,119 --> 00:26:35,119 Speaker 2: Entertainment sort of the two big players right now. And 485 00:26:35,359 --> 00:26:40,200 Speaker 2: it's really interesting because it's just a way for really 486 00:26:40,240 --> 00:26:43,719 Speaker 2: independent creators, and you can imagine how it's only going 487 00:26:43,760 --> 00:26:47,760 Speaker 2: to get easier and easier for a single solo artist. 488 00:26:48,320 --> 00:26:51,359 Speaker 2: They're using, you know, maybe chat JBT to help generate 489 00:26:51,400 --> 00:26:56,359 Speaker 2: the images to create a series that's really really just 490 00:26:56,400 --> 00:26:58,760 Speaker 2: aimed at someone on the tram saying I would like 491 00:26:59,080 --> 00:27:01,080 Speaker 2: five minutes of your time and you're just going to 492 00:27:01,119 --> 00:27:04,080 Speaker 2: swipe through this this comic book that I've made for you. 493 00:27:04,640 --> 00:27:11,040 Speaker 2: And it's really interesting how quickly these ips are profligrating 494 00:27:11,320 --> 00:27:13,520 Speaker 2: into the rest of the world. So websterms such as 495 00:27:13,760 --> 00:27:17,160 Speaker 2: Solo Leveling and Tower of God have already been turned 496 00:27:17,200 --> 00:27:22,200 Speaker 2: into anime series and are being considered for live action adaptations. 497 00:27:22,400 --> 00:27:26,520 Speaker 2: So like it's a new It sounds obvious, but it's 498 00:27:26,640 --> 00:27:29,560 Speaker 2: it's a really I think the most exciting aspect of 499 00:27:29,600 --> 00:27:33,840 Speaker 2: it is just the democratization of people being able to 500 00:27:33,880 --> 00:27:40,639 Speaker 2: pitch and make essentially storyboards for a new IPS to 501 00:27:40,680 --> 00:27:43,120 Speaker 2: go out into the world. I'm really excited. I mean, 502 00:27:43,160 --> 00:27:45,560 Speaker 2: what do you do you have any fears about this? 503 00:27:46,200 --> 00:27:48,200 Speaker 2: Are you as excited as I am? 504 00:27:48,520 --> 00:27:50,919 Speaker 1: You totally. As soon as you articulated what it was, 505 00:27:50,960 --> 00:27:54,160 Speaker 1: it's like, well, that'll work, you know, as as we've 506 00:27:54,160 --> 00:27:58,679 Speaker 1: discussed many times before, Freddy the obvious. The obvious always works, 507 00:27:58,880 --> 00:28:02,240 Speaker 1: you know, So there's something about it. I suppose it's 508 00:28:02,280 --> 00:28:05,400 Speaker 1: just the It'll be just intuitive and it will work. 509 00:28:05,720 --> 00:28:09,960 Speaker 1: It'll work brilliantly. And Charlie Harcroft comes to mind as well, Freddy, 510 00:28:09,960 --> 00:28:11,520 Speaker 1: I mean he needs to be well, he needs to 511 00:28:11,560 --> 00:28:14,640 Speaker 1: be made aware of web tunes, because I reckon that'll 512 00:28:14,640 --> 00:28:15,480 Speaker 1: be in his wheelhouse. 513 00:28:15,520 --> 00:28:20,240 Speaker 2: It's it's absolutely up his wheelhouse. I hadn't thought of that, 514 00:28:20,320 --> 00:28:23,480 Speaker 2: like just for people and you and your family of 515 00:28:23,760 --> 00:28:27,639 Speaker 2: you know, rich heritage of cartoonists to suddenly have a 516 00:28:27,720 --> 00:28:30,400 Speaker 2: place where they can go and put out really exciting, 517 00:28:31,520 --> 00:28:35,359 Speaker 2: new quirky work. And people might say, oh, well, you 518 00:28:35,400 --> 00:28:38,800 Speaker 2: know Instagram carousels, why not there. I think it's it's 519 00:28:38,800 --> 00:28:40,640 Speaker 2: almost like it's a bit like the writer's room. Having 520 00:28:40,680 --> 00:28:44,960 Speaker 2: a space that's just dedicated for a particular art form 521 00:28:45,160 --> 00:28:49,920 Speaker 2: just makes it so much more exciting and audiences get 522 00:28:49,960 --> 00:28:50,520 Speaker 2: to focus. 523 00:28:50,680 --> 00:28:52,560 Speaker 4: I'm thinking that probably. 524 00:28:52,120 --> 00:28:55,520 Speaker 2: The next the next bluey will start as a web 525 00:28:55,600 --> 00:28:56,800 Speaker 2: turn I'm sure of that. 526 00:28:57,040 --> 00:29:00,760 Speaker 1: Nice, nice, nice Freddy. Well, keep your eye peeled for 527 00:29:00,880 --> 00:29:03,120 Speaker 1: that particular content and then see if you can get involved. 528 00:29:03,880 --> 00:29:04,080 Speaker 4: Yeah. 529 00:29:04,160 --> 00:29:06,520 Speaker 1: Well, and in fact, I mean how to use it 530 00:29:06,560 --> 00:29:10,440 Speaker 1: in an advertising sense as well. I'm sure that you 531 00:29:10,520 --> 00:29:12,960 Speaker 1: and your agency colleagues will be thinking, Okay, how can 532 00:29:13,000 --> 00:29:16,520 Speaker 1: we actually use this new form of storytelling to tell 533 00:29:16,560 --> 00:29:19,000 Speaker 1: brand stories? I mean, don't be shy from doing that. 534 00:29:19,080 --> 00:29:22,920 Speaker 1: Pretty you know, I was thinking about you at that 535 00:29:23,320 --> 00:29:27,520 Speaker 1: in that New York publishing party. You would have been 536 00:29:27,520 --> 00:29:28,520 Speaker 1: like a pig and shit, there. 537 00:29:28,400 --> 00:29:36,200 Speaker 2: Mate, I was. I'm embarrassed by how poorly I did. 538 00:29:36,720 --> 00:29:37,520 Speaker 4: It's just like. 539 00:29:39,080 --> 00:29:41,720 Speaker 2: You think you read Russ and then you meet someone 540 00:29:41,760 --> 00:29:45,880 Speaker 2: whose job it is to read and you realize that 541 00:29:46,000 --> 00:29:50,239 Speaker 2: these is just another world entirely, and you start. I 542 00:29:50,280 --> 00:29:52,600 Speaker 2: was walking prior to that night, I was thinking, oh, 543 00:29:52,680 --> 00:29:55,120 Speaker 2: you know, I'm a bit of a bookworm or whatnot. 544 00:29:55,240 --> 00:29:59,800 Speaker 2: And to them, ah, to them, they probably thought I 545 00:29:59,840 --> 00:30:01,400 Speaker 2: was struggling on the consonants. 546 00:30:01,960 --> 00:30:05,720 Speaker 1: It was sure, that's not well, well there you go, 547 00:30:05,880 --> 00:30:09,160 Speaker 1: there you go. And so your ambition, you're reading ambition 548 00:30:09,280 --> 00:30:10,880 Speaker 1: has been heightened, and that's a good thing. 549 00:30:11,200 --> 00:30:13,960 Speaker 4: That's true. That's true, or I'm just going to become 550 00:30:13,960 --> 00:30:16,360 Speaker 4: a web turn sort of guy. I feel like I'm 551 00:30:16,360 --> 00:30:18,560 Speaker 4: maybe more of a web turn sort of consumer. 552 00:30:19,520 --> 00:30:22,440 Speaker 1: Now I want to talk to you about a register 553 00:30:22,680 --> 00:30:28,600 Speaker 1: for Rowan. So register for Rowan. Old school friend of mine, Freddy, 554 00:30:28,720 --> 00:30:31,800 Speaker 1: his son. When he was eighteen years of age, he 555 00:30:31,960 --> 00:30:40,080 Speaker 1: was diagnosed with my loma, so acute my lord leukemia 556 00:30:40,080 --> 00:30:46,040 Speaker 1: in fact, and he is in remission now, but he 557 00:30:46,080 --> 00:30:50,120 Speaker 1: does need to have a transplant. And as I was 558 00:30:50,160 --> 00:30:54,360 Speaker 1: reading about him Rowan, I thought of you, Freddy, because 559 00:30:54,960 --> 00:30:58,000 Speaker 1: you and the Good Ones were responsible, of course for 560 00:30:58,080 --> 00:30:59,959 Speaker 1: making a campaign. So can you tell us about that? 561 00:31:00,360 --> 00:31:05,080 Speaker 2: Yes, so, yeah, it was back I'm trying to think 562 00:31:05,120 --> 00:31:07,360 Speaker 2: when it was back in it must have been twenty 563 00:31:07,440 --> 00:31:10,520 Speaker 2: twenty where we were a good One creative. We were 564 00:31:10,520 --> 00:31:16,080 Speaker 2: contacted by a charity called Australian Marrow Match, and the 565 00:31:16,200 --> 00:31:20,000 Speaker 2: charity came about from a family like in a similar situation, 566 00:31:20,160 --> 00:31:25,160 Speaker 2: who someone in their family had been diagnosed with blood 567 00:31:25,200 --> 00:31:29,000 Speaker 2: cancer and had received a stem cell transplant. 568 00:31:29,480 --> 00:31:32,680 Speaker 4: And the fact of I guess for people who. 569 00:31:32,560 --> 00:31:35,800 Speaker 2: Aren't aware of it right now. So if you are 570 00:31:35,880 --> 00:31:39,560 Speaker 2: someone that needs a stem cell transplant, I think there's 571 00:31:39,560 --> 00:31:43,360 Speaker 2: about eleven hundred Australians every year who need one and. 572 00:31:43,400 --> 00:31:46,080 Speaker 1: Yep, that's entirely correct, yes. 573 00:31:46,160 --> 00:31:50,680 Speaker 2: And so only about forty thousand Australians are on the 574 00:31:50,760 --> 00:31:53,840 Speaker 2: donor registry. So you have to sign up to go 575 00:31:53,880 --> 00:31:56,320 Speaker 2: on this registry. And the thing is that it is 576 00:31:56,480 --> 00:32:01,640 Speaker 2: so rare to have a match someone. So in the 577 00:32:01,680 --> 00:32:06,120 Speaker 2: case of Rowan, I believe it's like his siblings are 578 00:32:06,160 --> 00:32:10,040 Speaker 2: only about fifty percent matches, and you really need someone 579 00:32:10,080 --> 00:32:13,960 Speaker 2: who's like close to one hundred percent really for a 580 00:32:14,000 --> 00:32:18,560 Speaker 2: successful transplant to go through. So like Australia is in 581 00:32:18,560 --> 00:32:21,400 Speaker 2: a pretty dire position and eighty percent of donations will 582 00:32:21,400 --> 00:32:25,560 Speaker 2: come from overseas. So Australian Marrow Match flew us out 583 00:32:25,560 --> 00:32:29,480 Speaker 2: actually to Tasmania to meet a man named Mark Reid, who. 584 00:32:29,640 --> 00:32:31,040 Speaker 4: Father of three boys. 585 00:32:30,840 --> 00:32:34,720 Speaker 2: Yeah, father of three boys, who had gone through the 586 00:32:34,840 --> 00:32:39,920 Speaker 2: ordeal of blood cancer and yet the stem cell transplant 587 00:32:39,960 --> 00:32:43,640 Speaker 2: had saved his life and you hear these sort of things, 588 00:32:43,880 --> 00:32:47,960 Speaker 2: and we were there to make a documentary about him, 589 00:32:48,200 --> 00:32:53,120 Speaker 2: and I remember interviewing him actually very clearly, and him 590 00:32:53,240 --> 00:32:57,960 Speaker 2: talking about his first day back from the hospital when 591 00:32:58,280 --> 00:33:00,520 Speaker 2: the doctors had said, you know, we think you're going 592 00:33:00,560 --> 00:33:03,680 Speaker 2: to make it after you know the stem cell, the 593 00:33:03,680 --> 00:33:07,600 Speaker 2: transplant's taken. You know, you think, we think you're going 594 00:33:07,680 --> 00:33:09,960 Speaker 2: to be okay. And because you know, he'd had to 595 00:33:10,000 --> 00:33:13,640 Speaker 2: do it all in Melbourne, he'd been sort of away 596 00:33:13,680 --> 00:33:17,320 Speaker 2: from his family during this whole just awful ordeal, and 597 00:33:17,360 --> 00:33:21,080 Speaker 2: he was talking about just the the contentment he felt 598 00:33:21,200 --> 00:33:23,720 Speaker 2: sitting on the couch watching a game of footy with 599 00:33:23,840 --> 00:33:25,200 Speaker 2: his sons and his wife. 600 00:33:25,440 --> 00:33:29,400 Speaker 1: First aid back, Yeah, and it was just now you registered, Freddy, 601 00:33:29,440 --> 00:33:29,800 Speaker 1: did you not? 602 00:33:29,960 --> 00:33:30,120 Speaker 4: Yeah? 603 00:33:30,160 --> 00:33:33,640 Speaker 1: I did, Yeah, And I think so it's you've got 604 00:33:33,640 --> 00:33:37,000 Speaker 1: to be eighteen to thirty five in order to register. 605 00:33:37,560 --> 00:33:39,000 Speaker 1: I think that is also correct. 606 00:33:39,160 --> 00:33:40,040 Speaker 4: Yes, that's right. 607 00:33:40,920 --> 00:33:43,160 Speaker 1: And why is that the case? Why? Why why couldn't 608 00:33:43,160 --> 00:33:44,520 Speaker 1: I do it? Well? 609 00:33:44,600 --> 00:33:48,720 Speaker 2: I think you. I think what they want is eighteen 610 00:33:48,760 --> 00:33:55,480 Speaker 2: to thirty five year old men because you men particularly, 611 00:33:55,520 --> 00:33:57,960 Speaker 2: they have just more mass and so more stem cells 612 00:33:58,000 --> 00:34:01,040 Speaker 2: to give, and eighteen to thirty five because they're really 613 00:34:01,120 --> 00:34:06,120 Speaker 2: good at producing them from that age. So yeah, that's 614 00:34:06,520 --> 00:34:10,760 Speaker 2: what they're looking for. And these people as well, less 615 00:34:10,960 --> 00:34:13,560 Speaker 2: likely to have any sort of complications of their own. 616 00:34:13,680 --> 00:34:16,640 Speaker 2: Generally they're pretty healthy. So I actually got the call 617 00:34:16,760 --> 00:34:21,920 Speaker 2: up for a donation, and the process you go through 618 00:34:22,960 --> 00:34:25,600 Speaker 2: from when they call you up to when you actually 619 00:34:25,600 --> 00:34:28,880 Speaker 2: give the donation. There's quite a bit of time actually, 620 00:34:28,920 --> 00:34:31,600 Speaker 2: because what they have to do on their end, whoever's 621 00:34:31,640 --> 00:34:34,360 Speaker 2: receiving the transplant, a lot of the time they'll go 622 00:34:34,360 --> 00:34:36,520 Speaker 2: through another bout of chemo I think it is, and 623 00:34:36,520 --> 00:34:39,200 Speaker 2: they're essentially trying to get their own stem cell count 624 00:34:39,480 --> 00:34:42,200 Speaker 2: down to as close to zero as they can before 625 00:34:42,239 --> 00:34:45,000 Speaker 2: it gets too dangerous, before they can load you up 626 00:34:45,000 --> 00:34:48,239 Speaker 2: with the new stuff. So and when they're going through 627 00:34:48,239 --> 00:34:50,359 Speaker 2: that process, the worst thing that could happen would be 628 00:34:50,440 --> 00:34:53,840 Speaker 2: someone drop out or you know, it comes up with 629 00:34:53,880 --> 00:34:56,000 Speaker 2: their own like. So it's the person on the receiving 630 00:34:56,080 --> 00:34:58,400 Speaker 2: end of the transplant is going through a risky process 631 00:34:58,680 --> 00:35:00,640 Speaker 2: and there's a lot of trust in the since signing 632 00:35:00,719 --> 00:35:03,080 Speaker 2: up that when the time comes and if they've said yes, 633 00:35:03,200 --> 00:35:04,799 Speaker 2: that they're going to stick it through. 634 00:35:05,880 --> 00:35:09,480 Speaker 1: Good Man, Okay, so you've made a film about about 635 00:35:09,640 --> 00:35:12,319 Speaker 1: a gentleman who has gone through has successfully gone through 636 00:35:12,320 --> 00:35:17,439 Speaker 1: that process. My friend's son, his name is Rowan And 637 00:35:17,760 --> 00:35:21,160 Speaker 1: if people who are listening are interested between the ages 638 00:35:21,200 --> 00:35:24,680 Speaker 1: of eighteen and thirty five, I know that my mate 639 00:35:24,760 --> 00:35:26,960 Speaker 1: he would really appreciate if you go to the website 640 00:35:27,080 --> 00:35:31,239 Speaker 1: register for Rowan. That's one word, register for Rowan. We'll 641 00:35:31,239 --> 00:35:34,080 Speaker 1: put it on the show and maybe we can put 642 00:35:34,120 --> 00:35:36,200 Speaker 1: a link to your story as well on the show. Freddie, 643 00:35:36,600 --> 00:35:41,560 Speaker 1: so register for Rowan and I know it would be well, 644 00:35:41,880 --> 00:35:43,879 Speaker 1: I mean one of the right words on this one. 645 00:35:44,040 --> 00:35:47,120 Speaker 1: Appreciated is nowhere near a strong enough word. 646 00:35:48,040 --> 00:35:50,279 Speaker 2: Absolutely right, best thing I ever did. So I would 647 00:35:50,360 --> 00:35:53,680 Speaker 2: highly recommend that everyone go sign up. Takes not too 648 00:35:53,719 --> 00:35:56,759 Speaker 2: long at all to do it, to get swabbed. And yeah, 649 00:35:56,760 --> 00:35:59,200 Speaker 2: if you're lucky enough to get the call up, you'll 650 00:35:59,239 --> 00:36:01,160 Speaker 2: spend the rest of l thanking God. 651 00:36:01,200 --> 00:36:05,480 Speaker 1: You did well done, Freddy. Okay. Inclosing, what are you reading? 652 00:36:06,239 --> 00:36:09,480 Speaker 2: I'm reading right now and the week suffer what they must, 653 00:36:09,719 --> 00:36:16,160 Speaker 2: which is a history of trade surpluses and deficits and 654 00:36:16,680 --> 00:36:21,480 Speaker 2: how the birth of the Euro led to Greek's crisis 655 00:36:21,680 --> 00:36:23,640 Speaker 2: posed too yes. 656 00:36:24,120 --> 00:36:28,080 Speaker 1: Yeah, yeah, yeah, it's very interesting. Maybe the last time 657 00:36:28,120 --> 00:36:30,680 Speaker 1: I was in Greece they were just talking about how 658 00:36:30,719 --> 00:36:32,880 Speaker 1: much they hate being part of the Euro or like 659 00:36:33,000 --> 00:36:35,040 Speaker 1: like the local public and or what whoever I was 660 00:36:35,040 --> 00:36:37,719 Speaker 1: talking to, he said, well, you know what, in the 661 00:36:37,760 --> 00:36:41,000 Speaker 1: old days, the Germans would come down here to Greece 662 00:36:41,040 --> 00:36:44,920 Speaker 1: with their Deutsche marks, and they turned the Deutsch marks 663 00:36:44,920 --> 00:36:48,080 Speaker 1: into the what's the what's the Greek one? What was 664 00:36:48,080 --> 00:36:49,920 Speaker 1: the great one called Drachma? Was it? It might be 665 00:36:49,920 --> 00:36:52,360 Speaker 1: a track anyway, they Yeah, they turned they turned the 666 00:36:52,400 --> 00:36:55,480 Speaker 1: deutsch marks into the local Greek currency and think they 667 00:36:55,480 --> 00:36:58,000 Speaker 1: were rich. And what they would then do, of course, 668 00:36:58,000 --> 00:37:02,799 Speaker 1: suspend it all right, So they weren't very like your 669 00:37:02,840 --> 00:37:06,880 Speaker 1: average Greek punda wasn't very happy about being involved with 670 00:37:06,880 --> 00:37:10,200 Speaker 1: the Euro So maybe you can just tell me all 671 00:37:10,200 --> 00:37:11,919 Speaker 1: about it. I'm not sure I'm going to read that one, 672 00:37:11,920 --> 00:37:13,160 Speaker 1: but you'll have to tell me all about it. 673 00:37:13,200 --> 00:37:16,320 Speaker 2: Yeah, I'll do my best to make sense of Frankly, 674 00:37:16,600 --> 00:37:20,080 Speaker 2: quite a lot of economic gobbledegurg from my years. Maybe 675 00:37:20,080 --> 00:37:21,560 Speaker 2: there'll be a web turn about it someday. 676 00:37:21,880 --> 00:37:25,920 Speaker 1: Good stuff. Well, I'm Freddie, Thanks us, thanks for listening. 677 00:37:26,040 --> 00:37:29,480 Speaker 1: You can subscribe to Admission wherever you get your podcasts. 678 00:37:29,040 --> 00:37:32,600 Speaker 2: And follow us on Instagram at Admission Podcast. You can 679 00:37:32,640 --> 00:37:35,560 Speaker 2: send us a message and add an idea anything you 680 00:37:35,600 --> 00:37:36,680 Speaker 2: reckon we should talk about. 681 00:37:36,840 --> 00:37:40,120 Speaker 1: You can also follow me Russell Holcroft on x or LinkedIn, 682 00:37:40,440 --> 00:37:42,359 Speaker 1: and of course you can hear me on three out 683 00:37:42,320 --> 00:37:45,680 Speaker 1: of breakfast every morning with the inimitable ros Stevenson. Chat 684 00:37:45,760 --> 00:37:46,960 Speaker 1: to you next week, Freddy so here