1 00:00:00,400 --> 00:00:02,920 Speaker 1: All right, tam let's get gone bloody. Everyone's talking over 2 00:00:02,960 --> 00:00:05,160 Speaker 1: the top me. It's the year project Craig Anthony Harper. 3 00:00:05,160 --> 00:00:10,000 Speaker 1: There's a cast of thousands today because the very hilarious Patrick. 4 00:00:10,160 --> 00:00:11,640 Speaker 1: Oh my god, I'm going to have to get my 5 00:00:11,760 --> 00:00:16,120 Speaker 1: side stitched after this episode because Patrick did a funny, 6 00:00:16,160 --> 00:00:18,920 Speaker 1: tricky thing, and then Tiff did as well. And I 7 00:00:19,000 --> 00:00:21,360 Speaker 1: jumped on the zoom call everyone and there was my 8 00:00:21,440 --> 00:00:26,159 Speaker 1: little bos on the screen and three other boxers with 9 00:00:26,720 --> 00:00:30,320 Speaker 1: no camera and no audio, and it was one minute 10 00:00:30,320 --> 00:00:33,120 Speaker 1: to go time. And then all of a sudden, this 11 00:00:33,240 --> 00:00:35,680 Speaker 1: young handsome man with a headset on who looked like 12 00:00:35,760 --> 00:00:37,720 Speaker 1: he should be asking me if I want fries with 13 00:00:37,840 --> 00:00:44,000 Speaker 1: that pops up. And well, I'm going to start with 14 00:00:44,080 --> 00:00:46,520 Speaker 1: the smartest and the best looking person on the call, 15 00:00:46,680 --> 00:00:49,920 Speaker 1: young Christian, who works for Patrick, who is the backbone 16 00:00:49,960 --> 00:00:52,920 Speaker 1: the engine room and clearly the brains in the organization. 17 00:00:53,600 --> 00:00:54,680 Speaker 1: Hi Christian, how are you? 18 00:00:55,320 --> 00:00:56,120 Speaker 2: I'm good good? 19 00:00:56,160 --> 00:00:59,240 Speaker 1: How are you mate? How did you How did you 20 00:00:59,360 --> 00:01:02,800 Speaker 1: feel when your boss that balding bloke Uncle Fester in 21 00:01:02,840 --> 00:01:05,920 Speaker 1: the bottom right corner on my screen, who looks like 22 00:01:05,959 --> 00:01:10,640 Speaker 1: the world's oldest McDonald's worker. Also, how did you feel 23 00:01:10,640 --> 00:01:12,640 Speaker 1: when he took credit for the work that you did 24 00:01:12,760 --> 00:01:15,400 Speaker 1: last week, and then when I asked him a question 25 00:01:15,480 --> 00:01:18,960 Speaker 1: about what was allegedly his running sheet, he couldn't answer 26 00:01:19,000 --> 00:01:21,280 Speaker 1: it because he didn't. I was going to say, fucking 27 00:01:21,360 --> 00:01:23,880 Speaker 1: do it, but I won't say that because you're fifteen 28 00:01:23,920 --> 00:01:26,560 Speaker 1: and I know you've never sworn or heard swearing. How 29 00:01:26,560 --> 00:01:29,560 Speaker 1: did you feel when he kind of stole the limelight 30 00:01:29,640 --> 00:01:29,959 Speaker 1: from you? 31 00:01:31,319 --> 00:01:34,640 Speaker 2: I was heart broken, seriously, all that hard work took 32 00:01:34,680 --> 00:01:35,399 Speaker 2: me all morning. 33 00:01:36,040 --> 00:01:41,760 Speaker 1: Yeah. Yeah, no, he does that. Yeah, it is. It's disgraceful. 34 00:01:41,760 --> 00:01:44,720 Speaker 1: There's a pattern of this over the years. He steals 35 00:01:44,760 --> 00:01:48,760 Speaker 1: other people's thunder, he takes credit for other people's work. Christian, 36 00:01:48,840 --> 00:01:50,520 Speaker 1: what year are you in at school? 37 00:01:50,800 --> 00:01:51,720 Speaker 2: I'm in your nine. 38 00:01:52,600 --> 00:01:55,920 Speaker 1: Now what's your job? And I use that term loosely 39 00:01:56,360 --> 00:02:04,680 Speaker 1: at Patrick's house, Patrick's organization. That sounded bad. In Patrick's organization, 40 00:02:04,840 --> 00:02:07,800 Speaker 1: we'll use that term loosely as well. What's your role 41 00:02:07,880 --> 00:02:09,359 Speaker 1: in Patrick's organization? 42 00:02:10,520 --> 00:02:14,920 Speaker 2: Well, first of working, it was helping him set up 43 00:02:14,919 --> 00:02:18,679 Speaker 2: for this podcast, which took me all morning, and then 44 00:02:19,560 --> 00:02:24,720 Speaker 2: the next two or three days I was helping build 45 00:02:25,040 --> 00:02:27,880 Speaker 2: a website for the Ararat neighborhood House. 46 00:02:28,919 --> 00:02:32,000 Speaker 1: Well, gorgeous and what do you what do you want 47 00:02:32,000 --> 00:02:34,080 Speaker 1: to what do you want to do? When you're like, 48 00:02:34,160 --> 00:02:36,160 Speaker 1: why are you doing this? So? Are you a nerdy 49 00:02:36,280 --> 00:02:38,480 Speaker 1: or a geek? Do you love tech? Do you want 50 00:02:38,480 --> 00:02:39,079 Speaker 1: to work in? 51 00:02:39,680 --> 00:02:40,000 Speaker 3: What? 52 00:02:40,000 --> 00:02:41,920 Speaker 1: What space do you want to work in? When you 53 00:02:42,440 --> 00:02:45,519 Speaker 1: eventually turn into an old person like us. 54 00:02:49,200 --> 00:02:51,520 Speaker 2: I'm still really not sure, to be honest, because I 55 00:02:51,680 --> 00:02:54,880 Speaker 2: like a broad range of different things. Probably number one 56 00:02:54,919 --> 00:02:57,600 Speaker 2: on my list right now is like civil engineering, that 57 00:02:57,720 --> 00:02:58,400 Speaker 2: sort of stuff. 58 00:02:59,160 --> 00:03:02,080 Speaker 1: Yeah, clearly smarter than the rest of us. Well, mate, 59 00:03:02,520 --> 00:03:04,480 Speaker 1: we know that you've got to go and do more 60 00:03:04,480 --> 00:03:07,240 Speaker 1: important things than to talk to three centenarians on a 61 00:03:07,280 --> 00:03:11,440 Speaker 1: fucking podcast. So thank you for supporting Patrick. I mean, 62 00:03:11,919 --> 00:03:15,079 Speaker 1: old people need cares, and I think it's good. No, 63 00:03:15,240 --> 00:03:17,520 Speaker 1: it's great. It's great that you give him some attention 64 00:03:19,280 --> 00:03:21,640 Speaker 1: and that you help him find his teeth, you know, 65 00:03:21,880 --> 00:03:25,600 Speaker 1: and that you wheel him around, and like also emotionally 66 00:03:25,639 --> 00:03:28,840 Speaker 1: and mentally. He just needs all the support he can 67 00:03:28,880 --> 00:03:30,000 Speaker 1: get so well done. 68 00:03:30,120 --> 00:03:32,720 Speaker 3: It's a bit like what Tiff does for you, Craig. 69 00:03:34,080 --> 00:03:37,840 Speaker 1: Exactly. Oh that's not that's accurate. I'm not offended by 70 00:03:37,840 --> 00:03:40,680 Speaker 1: that at all. By the way, TIF, have you cleaned 71 00:03:40,680 --> 00:03:47,080 Speaker 1: my denches yet and where are they imagine that? Christian? 72 00:03:47,120 --> 00:03:49,200 Speaker 1: We're going to let you go so you can tune out. 73 00:03:49,240 --> 00:03:51,720 Speaker 1: But mate, have a good time, and thank you for 74 00:03:51,760 --> 00:03:55,120 Speaker 1: being part of the fun. And thanks for looking after Patrick. 75 00:03:55,160 --> 00:03:56,600 Speaker 1: He needs all the help he can get. 76 00:03:58,040 --> 00:03:58,640 Speaker 2: Thanks Greg. 77 00:03:59,360 --> 00:04:03,040 Speaker 1: Thanks mate. So oh that was so that was a 78 00:04:03,040 --> 00:04:06,000 Speaker 1: bit of unplanned mayhem. Look at you, Patrick? Just how 79 00:04:06,000 --> 00:04:08,760 Speaker 1: long you been planning that? How long you've been thinking 80 00:04:08,800 --> 00:04:09,280 Speaker 1: about that? 81 00:04:09,480 --> 00:04:12,000 Speaker 3: Well since you invited him on the show last episode 82 00:04:12,040 --> 00:04:13,320 Speaker 3: and told him that he was better than me? 83 00:04:14,280 --> 00:04:15,200 Speaker 1: So why do you come? 84 00:04:16,520 --> 00:04:16,599 Speaker 2: So? 85 00:04:16,680 --> 00:04:17,360 Speaker 1: Why are you here? 86 00:04:17,680 --> 00:04:19,760 Speaker 3: To be here for five minutes? Someone had to fill 87 00:04:19,800 --> 00:04:23,080 Speaker 3: in for him. Is he the youngest person you've had 88 00:04:23,080 --> 00:04:23,760 Speaker 3: on TP? 89 00:04:25,440 --> 00:04:28,800 Speaker 1: Yeah? I think so, Yeah, he probably is. And I've 90 00:04:28,839 --> 00:04:31,479 Speaker 1: got to say, not that I was a fucking bright, 91 00:04:31,680 --> 00:04:34,919 Speaker 1: bright shining light at fifteen, But he's pretty good, isn't he? 92 00:04:34,960 --> 00:04:37,600 Speaker 3: I meanned fifteen last weekend? 93 00:04:37,880 --> 00:04:42,720 Speaker 1: Oh, quite articulate and quite smart and civil engineering. I 94 00:04:42,800 --> 00:04:46,080 Speaker 1: was going. I was majoring fucking sandpit and plaster scene 95 00:04:46,080 --> 00:04:48,320 Speaker 1: and bicep curls when I was his age. 96 00:04:48,400 --> 00:04:50,280 Speaker 3: So I think I just worked out if I picked 97 00:04:50,279 --> 00:04:51,640 Speaker 3: my nose too much at my bleed? 98 00:04:54,920 --> 00:04:58,800 Speaker 1: Was oh right, right? Sorry, I thought you said. I 99 00:04:58,920 --> 00:05:02,760 Speaker 1: just figured that out now, as in good afternoon, TIF 100 00:05:02,839 --> 00:05:04,760 Speaker 1: is that afternoon? It's one o seven at SAT Day. 101 00:05:05,279 --> 00:05:10,120 Speaker 1: Hello Cookie, Hello, Hello Harps. Now this is irrelevant to 102 00:05:10,160 --> 00:05:12,400 Speaker 1: our listeners, but you do know that the U Project 103 00:05:12,440 --> 00:05:15,080 Speaker 1: signed behind you is back the front again, Patrick, and 104 00:05:15,120 --> 00:05:16,520 Speaker 1: I did this with you last year. 105 00:05:16,560 --> 00:05:19,960 Speaker 4: Here's the thing. But when my recordings finished, it's back 106 00:05:20,000 --> 00:05:22,920 Speaker 4: to front if i'd change it. So I don't know 107 00:05:23,279 --> 00:05:25,760 Speaker 4: because all my recordings since you made me change it, 108 00:05:25,839 --> 00:05:28,000 Speaker 4: all the recordings were back to front. So you're just 109 00:05:28,040 --> 00:05:28,640 Speaker 4: going to have to deal with it. 110 00:05:28,720 --> 00:05:33,480 Speaker 3: Bro, I just realized what the background of mine is 111 00:05:33,520 --> 00:05:36,279 Speaker 3: the number seventy backwards as well. That's the banner I 112 00:05:36,320 --> 00:05:39,360 Speaker 3: stole in China. Do you admit that. 113 00:05:39,080 --> 00:05:42,599 Speaker 1: It's not backwards? It's not backwards to us. 114 00:05:42,000 --> 00:05:44,919 Speaker 3: Backwards for me though, this is really bad. We're talking 115 00:05:45,000 --> 00:05:46,680 Speaker 3: visuals on the podcast. 116 00:05:46,839 --> 00:05:49,799 Speaker 1: Let's not do this. Hi, everyone, Welcome to the You Project. 117 00:05:49,800 --> 00:05:53,360 Speaker 1: I'm Craig Anthony, half a Halper, half a Yeah. I 118 00:05:53,360 --> 00:05:55,680 Speaker 1: should know my name now it's been a while. Patrick, 119 00:05:55,720 --> 00:06:00,000 Speaker 1: James Bonello, Tiffany and Cook. This happens about once a fortnite. 120 00:06:00,279 --> 00:06:02,799 Speaker 1: If you know what we do, why are you back? 121 00:06:03,000 --> 00:06:06,600 Speaker 1: You must be a glutton for punishment. Loosely, we try 122 00:06:06,640 --> 00:06:11,080 Speaker 1: and talk about technology, we rarely well we do, but 123 00:06:11,200 --> 00:06:13,679 Speaker 1: I reckon we're operating at about twenty to thirty percent 124 00:06:13,800 --> 00:06:18,960 Speaker 1: technology content and seven eighty percent bullshit and storytelling. So 125 00:06:19,000 --> 00:06:22,360 Speaker 1: if you want to stick around for that, you've been warned. Tiff. 126 00:06:22,440 --> 00:06:25,120 Speaker 1: How's your week been. I've been away. I've been inspiring 127 00:06:25,360 --> 00:06:29,920 Speaker 1: motherfuckers around the country. What about you? Oh, it's it's been. 128 00:06:30,400 --> 00:06:32,520 Speaker 4: It's been great, and it's been awful, and it's been 129 00:06:32,560 --> 00:06:35,279 Speaker 4: a roller coson, it's been different, and it's been all 130 00:06:35,320 --> 00:06:37,320 Speaker 4: of the things, all of the things. 131 00:06:37,680 --> 00:06:39,479 Speaker 1: You sent me a message the other day and you 132 00:06:39,560 --> 00:06:44,160 Speaker 1: basically said I'm sad I feel and I said, can 133 00:06:44,200 --> 00:06:47,040 Speaker 1: I do anything? Are you okay? I sent you bit 134 00:06:47,040 --> 00:06:49,760 Speaker 1: of love and you're like, no, I'm okay. And then 135 00:06:50,040 --> 00:06:52,080 Speaker 1: and then like a day later, you went, I'm good. 136 00:06:52,160 --> 00:06:55,840 Speaker 1: Now what was that about? Oh? 137 00:06:55,880 --> 00:06:58,400 Speaker 4: I was having an existential crisis. I was don on 138 00:06:58,480 --> 00:07:00,840 Speaker 4: my knees and you know those moments, I was out 139 00:07:00,839 --> 00:07:02,560 Speaker 4: walking the dog. When you message that, and you know, 140 00:07:02,600 --> 00:07:06,200 Speaker 4: when you're okay until someone says you okay, Well, you 141 00:07:06,320 --> 00:07:09,800 Speaker 4: actually were the cause of me just having a breakdown 142 00:07:09,840 --> 00:07:11,600 Speaker 4: in the street. It's eight pm at night. I had 143 00:07:11,640 --> 00:07:14,320 Speaker 4: to turn around get my dog home. I was sobbing 144 00:07:14,360 --> 00:07:17,560 Speaker 4: and snotting and crying and you know, and I couldn't 145 00:07:17,560 --> 00:07:19,200 Speaker 4: even answer the question for twenty minutes. 146 00:07:19,240 --> 00:07:23,080 Speaker 1: I was like, I no, am I okay, Yeah, well 147 00:07:23,440 --> 00:07:26,760 Speaker 1: I'm trying to find that. Let me find tiff. Let 148 00:07:26,760 --> 00:07:28,600 Speaker 1: me I'm just going into my phones. 149 00:07:29,840 --> 00:07:32,640 Speaker 3: While he's doing that, Tiff, do you find though? In 150 00:07:32,760 --> 00:07:36,880 Speaker 3: winter it's more drab, it's dull, there's less vitamin D. 151 00:07:37,240 --> 00:07:37,560 Speaker 2: Mate. 152 00:07:37,600 --> 00:07:41,200 Speaker 4: I am a sad sad season effective disorder. I am 153 00:07:41,240 --> 00:07:43,480 Speaker 4: a candidate for that big time. 154 00:07:43,960 --> 00:07:47,360 Speaker 3: Yeah, it's a real thing. It's something that a lot 155 00:07:47,360 --> 00:07:48,280 Speaker 3: of people struggle with. 156 00:07:48,960 --> 00:07:51,840 Speaker 1: Yeah, it's true. That's true. And I can say yesterday 157 00:07:51,840 --> 00:07:53,760 Speaker 1: and the day before I was in Breas Vegas and 158 00:07:53,800 --> 00:07:56,840 Speaker 1: it was twenty four yesterday, and I don't think I 159 00:07:56,920 --> 00:08:00,080 Speaker 1: suffered from that. But I felt fucking good when it 160 00:08:00,080 --> 00:08:02,320 Speaker 1: was twenty four. I went out with a friend of mine, Toby, 161 00:08:02,320 --> 00:08:05,200 Speaker 1: who used to work for me shout out tabs on. 162 00:08:05,520 --> 00:08:08,880 Speaker 1: I did a gig on Thursday night to the general 163 00:08:08,880 --> 00:08:12,000 Speaker 1: Public Workshop and they're all awesome people. Hello you people, 164 00:08:12,040 --> 00:08:14,200 Speaker 1: you know who you are. And after that, young Toby 165 00:08:14,200 --> 00:08:16,360 Speaker 1: and I went out good luck trying to find a 166 00:08:16,360 --> 00:08:19,600 Speaker 1: healthy meal at eleven o'clock in CBD, Brisbane on a 167 00:08:19,640 --> 00:08:25,400 Speaker 1: Thursday night, so late because I did a workshop till 168 00:08:25,520 --> 00:08:26,160 Speaker 1: nine point thirty. 169 00:08:26,520 --> 00:08:29,440 Speaker 4: Have you beforehand by the top, Well. 170 00:08:29,400 --> 00:08:33,160 Speaker 1: That started at six and I'm not hungry till anyway anyway. 171 00:08:33,920 --> 00:08:37,439 Speaker 1: But my point was, I so I had a grilled burger. 172 00:08:38,360 --> 00:08:40,800 Speaker 1: They're not terrible, and I don't you know, I wouldn't 173 00:08:40,840 --> 00:08:43,400 Speaker 1: have one on a super regular basis. But Tobes and 174 00:08:43,440 --> 00:08:47,640 Speaker 1: I sat in this mall kind of thing and it 175 00:08:47,760 --> 00:08:50,760 Speaker 1: was eleven o'clock at night and it was warm sitting outside. 176 00:08:50,800 --> 00:08:52,920 Speaker 1: Imagine doing that in Melbs at that time. 177 00:08:53,200 --> 00:08:54,520 Speaker 4: No, I can't imagine it. 178 00:08:55,679 --> 00:08:56,079 Speaker 1: Patrick. 179 00:08:56,080 --> 00:08:58,840 Speaker 3: What have you been up to, son, I've got some 180 00:08:58,880 --> 00:09:01,000 Speaker 3: renovations going on at my place. In my garage. I 181 00:09:01,040 --> 00:09:03,559 Speaker 3: think I mentioned that to you. I'm building a tai 182 00:09:03,640 --> 00:09:07,880 Speaker 3: chi training studio. What was just a garage full of stuff. 183 00:09:07,880 --> 00:09:12,400 Speaker 3: It's very cathartic to clean out a big full garage 184 00:09:12,640 --> 00:09:15,520 Speaker 3: and a lot of stuff away. It's very cleansing and 185 00:09:15,559 --> 00:09:17,720 Speaker 3: it's as it's all starting to take shape. It's got 186 00:09:17,720 --> 00:09:20,400 Speaker 3: a little bit bigger than Ben her, but I'm really 187 00:09:20,440 --> 00:09:22,480 Speaker 3: excited about it. It means I can run some Tai Chee 188 00:09:22,480 --> 00:09:26,240 Speaker 3: workshops in a really nice setting. And I'm thinking of 189 00:09:26,320 --> 00:09:28,760 Speaker 3: just putting a little podcasting studio on the back as well. 190 00:09:28,840 --> 00:09:32,320 Speaker 3: I've got a little offer space, so I'll set myself 191 00:09:32,360 --> 00:09:34,520 Speaker 3: up in there, and so looking forward to that. 192 00:09:35,240 --> 00:09:37,680 Speaker 1: You could call it, you could call it the Me Project. 193 00:09:38,760 --> 00:09:40,599 Speaker 3: I could do goodn't I? 194 00:09:40,760 --> 00:09:44,360 Speaker 1: Yeah, you could set up in competition. You know what 195 00:09:44,400 --> 00:09:46,720 Speaker 1: I love about you send me photos of your garage. 196 00:09:46,720 --> 00:09:48,840 Speaker 1: And when you say garage, I mean it's a fucking 197 00:09:49,360 --> 00:09:53,720 Speaker 1: it's a garage like my garages. Mine's a garage. Yours 198 00:09:53,800 --> 00:09:56,400 Speaker 1: is a garage. Like you could set up a gym 199 00:09:56,400 --> 00:10:00,720 Speaker 1: in there, a proper gym. So it is there's something 200 00:10:01,120 --> 00:10:07,680 Speaker 1: cathartic about cleaning shit up, getting rid of staff, making 201 00:10:07,920 --> 00:10:13,880 Speaker 1: nice spaces. There's something that like, there's the I guess, 202 00:10:13,920 --> 00:10:16,840 Speaker 1: the satisfaction of doing that thing and making that space 203 00:10:16,960 --> 00:10:20,160 Speaker 1: nicer and cleaner and brighter and more functional. But there's 204 00:10:20,200 --> 00:10:23,400 Speaker 1: also something psychological and emotional that goes on. I think 205 00:10:23,760 --> 00:10:24,040 Speaker 1: we have. 206 00:10:24,080 --> 00:10:26,480 Speaker 3: The funny thing though, is I've got some really amazing 207 00:10:26,600 --> 00:10:30,080 Speaker 3: friends who have a window and door manufacturing business, and 208 00:10:30,120 --> 00:10:32,959 Speaker 3: they use what they call German mechanisms on them. So 209 00:10:33,240 --> 00:10:36,080 Speaker 3: the doors are double glazed and the windows are double glazed, 210 00:10:36,120 --> 00:10:38,680 Speaker 3: and they have this mechanism where you can open the 211 00:10:38,679 --> 00:10:41,079 Speaker 3: window or you can tilt the window towards you to 212 00:10:41,160 --> 00:10:44,480 Speaker 3: let airflow come through. Really wow, and they were very kind. 213 00:10:44,520 --> 00:10:47,800 Speaker 3: They've given me some of these windows and doors, and 214 00:10:48,400 --> 00:10:50,800 Speaker 3: it's suddenly just transformed it. And I thought, you know, 215 00:10:50,920 --> 00:10:54,920 Speaker 3: I could probably live in my garage now. It's going 216 00:10:55,000 --> 00:10:58,040 Speaker 3: to be better insulated, easier to heat and cool, and 217 00:10:58,880 --> 00:11:00,960 Speaker 3: probably gonna look at the nicer than my house. 218 00:11:01,600 --> 00:11:02,959 Speaker 1: Do you know what you could have done? 219 00:11:03,000 --> 00:11:05,640 Speaker 3: An airb and be mate Welleah, probably, I guess I 220 00:11:05,720 --> 00:11:08,360 Speaker 3: could do that too, But the only problem is that 221 00:11:08,600 --> 00:11:11,000 Speaker 3: I keep listening to people. So what happened was it 222 00:11:11,040 --> 00:11:12,520 Speaker 3: was just going to be a tie cheese studio and 223 00:11:12,520 --> 00:11:14,400 Speaker 3: then someone said, oh, maybe you should have a separate 224 00:11:14,400 --> 00:11:16,320 Speaker 3: area at the back for an office. Okay, so I 225 00:11:16,360 --> 00:11:17,880 Speaker 3: put it. You know, so I arranged to have the 226 00:11:17,920 --> 00:11:20,079 Speaker 3: build to put a wall in, and then someone said, well, 227 00:11:20,120 --> 00:11:22,080 Speaker 3: but if you've got people doing stuff in there, then 228 00:11:22,120 --> 00:11:23,280 Speaker 3: they're gonna have to go into the house to go 229 00:11:23,400 --> 00:11:25,920 Speaker 3: to the toilet. You should put a toilet in there. Okay, 230 00:11:26,000 --> 00:11:27,480 Speaker 3: then I put a toilet in the sink, so I said, 231 00:11:27,600 --> 00:11:28,839 Speaker 3: I said to the bill, look, can we put a 232 00:11:28,880 --> 00:11:31,160 Speaker 3: toilet and sink? Oh, I'll talk to a plumber. And 233 00:11:31,200 --> 00:11:33,520 Speaker 3: then someone said, well, if you're could have a toilet 234 00:11:33,520 --> 00:11:35,800 Speaker 3: and a sink, you should put a shower in there. 235 00:11:36,120 --> 00:11:38,160 Speaker 3: It's like, oh, yeah, that's not a bad idea. So 236 00:11:38,240 --> 00:11:40,280 Speaker 3: then they rip out the plaster and they put a shower, 237 00:11:40,320 --> 00:11:42,560 Speaker 3: and now they're setting up the whole shower thing. And 238 00:11:42,600 --> 00:11:45,480 Speaker 3: then another person said, well, why don't you put a kitchenette. Well, 239 00:11:45,520 --> 00:11:47,160 Speaker 3: that's a good idea. We could put a kitchen it 240 00:11:47,240 --> 00:11:49,560 Speaker 3: in there, and then it's kind of self contained, you know, 241 00:11:49,600 --> 00:11:51,120 Speaker 3: for coffee and tea, and they don't have to go 242 00:11:51,160 --> 00:11:53,440 Speaker 3: into the house. And then we put it all, you know, 243 00:11:53,520 --> 00:11:54,960 Speaker 3: aimed where we were going to put it all. And 244 00:11:55,000 --> 00:11:57,400 Speaker 3: then someone said to me, oh, you know that kitchenette 245 00:11:57,400 --> 00:11:59,160 Speaker 3: that's in the back room, why don't you put it 246 00:11:59,200 --> 00:12:01,080 Speaker 3: in the front area because you don't really want to 247 00:12:01,080 --> 00:12:03,440 Speaker 3: have it next to the toilet and bathroom. Oh yeah, 248 00:12:03,440 --> 00:12:05,800 Speaker 3: that's a good idea. Seriously, the plasters had to come 249 00:12:05,840 --> 00:12:08,360 Speaker 3: back three times. The plumbers think I'm an idiot, and 250 00:12:08,400 --> 00:12:10,439 Speaker 3: the builder is probably just counting how much money is 251 00:12:10,440 --> 00:12:12,320 Speaker 3: going to get. 252 00:12:15,000 --> 00:12:17,240 Speaker 1: That seems like you've turned a little thing into a 253 00:12:17,240 --> 00:12:20,400 Speaker 1: big thing. Also, one, you don't need an office because 254 00:12:20,400 --> 00:12:23,800 Speaker 1: you've got an office upstairs. You've got multiple officers upstairs. 255 00:12:24,000 --> 00:12:25,520 Speaker 1: That seems like a bad idea. 256 00:12:25,800 --> 00:12:28,680 Speaker 3: And I've got this note, it's okay. So downstairs where 257 00:12:28,679 --> 00:12:31,720 Speaker 3: the master bedroom was in my house, because it faced 258 00:12:31,920 --> 00:12:34,960 Speaker 3: the front door, that's where my office is. So clients 259 00:12:34,960 --> 00:12:38,360 Speaker 3: can walk straight in into the office without going into 260 00:12:38,360 --> 00:12:40,840 Speaker 3: the house proper. There's a little partition there, so you'd 261 00:12:40,840 --> 00:12:42,880 Speaker 3: know this if you'd bothered to come and stay with 262 00:12:42,920 --> 00:12:44,520 Speaker 3: me like you were supposed to last year. 263 00:12:44,960 --> 00:12:45,600 Speaker 1: It's too far. 264 00:12:48,720 --> 00:12:51,800 Speaker 3: It's an hour. It's just going to come out here 265 00:12:51,840 --> 00:12:52,400 Speaker 3: before you do. 266 00:12:53,200 --> 00:12:57,040 Speaker 1: I no, probably probably if you two spoon before you 267 00:12:57,080 --> 00:13:00,840 Speaker 1: and icepoon, I will be jealous. Dragged you out of 268 00:13:00,840 --> 00:13:04,280 Speaker 1: that emotional quogmire that you were in. 269 00:13:04,600 --> 00:13:08,400 Speaker 4: Well, thank Mark Lebusk for that emotional quagmire, because I've 270 00:13:08,440 --> 00:13:11,320 Speaker 4: done two days in a human manager experience with him 271 00:13:11,679 --> 00:13:14,760 Speaker 4: and some of the processes that it was awesome, right, 272 00:13:14,840 --> 00:13:18,079 Speaker 4: it was great, but it brought up with some stuff 273 00:13:18,960 --> 00:13:21,800 Speaker 4: and then I was feeling a bit better the next day, 274 00:13:21,920 --> 00:13:23,640 Speaker 4: just a bit of you know when you sometimes you 275 00:13:23,679 --> 00:13:26,680 Speaker 4: need that tipping point. So I was the world was ending, 276 00:13:26,920 --> 00:13:28,600 Speaker 4: and then the next day I was like, all right, 277 00:13:28,679 --> 00:13:30,559 Speaker 4: all right, well we've got to change things. 278 00:13:30,800 --> 00:13:31,800 Speaker 1: So it was feeling a bit better. 279 00:13:31,800 --> 00:13:34,880 Speaker 4: But then in late afternoon I got a call from 280 00:13:35,040 --> 00:13:38,040 Speaker 4: Jem who's one of my podcast regulars, who wanted me 281 00:13:38,080 --> 00:13:41,160 Speaker 4: to go on this trip to the Himalayas within this 282 00:13:41,200 --> 00:13:43,000 Speaker 4: retreat he wanted me to go on at the start 283 00:13:43,000 --> 00:13:45,640 Speaker 4: of the year. He was asking about it, and a 284 00:13:45,720 --> 00:13:48,480 Speaker 4: spot come up, a sponsored spot come up, and he said, 285 00:13:48,520 --> 00:13:50,480 Speaker 4: I'd like to take you. So all you would have 286 00:13:50,559 --> 00:13:53,000 Speaker 4: to all you would have to pay for is your 287 00:13:53,000 --> 00:13:57,240 Speaker 4: flights and get there. And so that kind of pulled me. 288 00:13:57,200 --> 00:13:58,280 Speaker 3: Out of Mike quagmire. 289 00:13:58,360 --> 00:14:02,559 Speaker 4: When when I'm with the end of September, so I'm 290 00:14:02,640 --> 00:14:08,240 Speaker 4: feeling very grateful and excited and ready for a break 291 00:14:08,320 --> 00:14:11,920 Speaker 4: and some perspective and a change, and so that helps. 292 00:14:12,480 --> 00:14:14,439 Speaker 1: So how long are you going for? I wish I 293 00:14:14,520 --> 00:14:16,520 Speaker 1: had a time in this before the podcast. Now I'm 294 00:14:16,520 --> 00:14:18,280 Speaker 1: going to have to find someone else. Patrick, What are 295 00:14:18,320 --> 00:14:23,280 Speaker 1: you doing the end of September? Seven days? 296 00:14:23,360 --> 00:14:25,880 Speaker 4: Unless I stay a couple of extra seven days at 297 00:14:25,880 --> 00:14:27,600 Speaker 4: this stage, and it's a seven day retreat? 298 00:14:28,920 --> 00:14:29,360 Speaker 1: Where is it? 299 00:14:29,440 --> 00:14:29,600 Speaker 3: Though? 300 00:14:30,400 --> 00:14:33,200 Speaker 1: Him lays that seems like a long way to go 301 00:14:33,360 --> 00:14:34,200 Speaker 1: for not very long? 302 00:14:34,720 --> 00:14:36,720 Speaker 3: Well, how long do you want me to go for? 303 00:14:36,840 --> 00:14:40,000 Speaker 1: But well I don't want you. Well, you know, if 304 00:14:40,000 --> 00:14:41,360 Speaker 1: you're going to go, you might as well get to 305 00:14:41,440 --> 00:14:42,480 Speaker 1: base camp or something. 306 00:14:42,720 --> 00:14:44,120 Speaker 4: I've got a friend or two that are going to 307 00:14:44,160 --> 00:14:47,400 Speaker 4: come so that we might stay in India a handful 308 00:14:47,480 --> 00:14:49,640 Speaker 4: more days just to have a poke around. But if not, 309 00:14:49,720 --> 00:14:51,240 Speaker 4: if no one else comes with me, I'll just go 310 00:14:51,440 --> 00:14:55,920 Speaker 4: for seven days come back. Wow, change could be changed woman, 311 00:14:56,440 --> 00:14:57,840 Speaker 4: not just out there and meditate. 312 00:14:58,880 --> 00:14:59,080 Speaker 3: Wow. 313 00:14:59,680 --> 00:15:06,560 Speaker 1: Wow, Well you'll come back all zen and stuff. Patrick, 314 00:15:07,920 --> 00:15:09,240 Speaker 1: Where do you want to start on? 315 00:15:09,480 --> 00:15:11,840 Speaker 3: I've got an Everest story. How's that for a segment? 316 00:15:12,120 --> 00:15:12,960 Speaker 1: Yeah? I want to hear it. 317 00:15:13,720 --> 00:15:15,840 Speaker 3: Yep, yep. It was either that I'll tell a really 318 00:15:15,920 --> 00:15:18,560 Speaker 3: bad joke, and I think we could probably forego the 319 00:15:18,680 --> 00:15:21,080 Speaker 3: joke and go straight to the stories because we haven't 320 00:15:21,080 --> 00:15:22,000 Speaker 3: actually done anything yet. 321 00:15:22,200 --> 00:15:22,240 Speaker 1: No. 322 00:15:22,440 --> 00:15:25,840 Speaker 3: I you might recall a little while ago we spoke 323 00:15:25,880 --> 00:15:30,120 Speaker 3: about the DJI drone making company was looking at getting 324 00:15:30,160 --> 00:15:33,680 Speaker 3: a drone up to base Camp. Well they've managed this, 325 00:15:33,840 --> 00:15:35,920 Speaker 3: blew my mind. They've managed to take one of their 326 00:15:36,000 --> 00:15:40,240 Speaker 3: off the shelf consumer drones and fly it all the 327 00:15:40,320 --> 00:15:44,400 Speaker 3: way to every single camp on the summit, all the 328 00:15:44,440 --> 00:15:47,240 Speaker 3: way up to the top of Everest. It's never happened before, 329 00:15:47,560 --> 00:15:51,080 Speaker 3: and it's a it's a Dji Mavic Pro, and they 330 00:15:51,200 --> 00:15:52,520 Speaker 3: managed to get it all the way up to the 331 00:15:52,600 --> 00:15:55,640 Speaker 3: top of Everest. And that is mind blowing because there's 332 00:15:55,680 --> 00:15:58,400 Speaker 3: so little oxygen up there to keep the thing up. 333 00:15:58,480 --> 00:16:00,600 Speaker 3: And they did it with the commercial with a commercial 334 00:16:00,760 --> 00:16:03,600 Speaker 3: are just a domestic drone, and they managed to get 335 00:16:03,640 --> 00:16:06,320 Speaker 3: all the way up to the top. The distance is 336 00:16:06,360 --> 00:16:10,320 Speaker 3: staggering to go up Everest. It's quite a quite a 337 00:16:10,360 --> 00:16:11,800 Speaker 3: way to go. I'm just trying to look at the 338 00:16:11,920 --> 00:16:14,120 Speaker 3: details of actually how much it was, because it was 339 00:16:14,520 --> 00:16:19,000 Speaker 3: we're talking over eight thousand meters. Yeah, it's over at 340 00:16:19,080 --> 00:16:22,160 Speaker 3: that Because they talk they took feet a lot. So 341 00:16:22,720 --> 00:16:26,360 Speaker 3: the base Camp one is nineteen thousand feet, which is 342 00:16:26,400 --> 00:16:30,680 Speaker 3: six thousand meters, but Camp four is seven nine hundred 343 00:16:30,760 --> 00:16:33,800 Speaker 3: meters and then you enter what they call the death zone, 344 00:16:33,920 --> 00:16:38,280 Speaker 3: which is full on where for most people you need 345 00:16:38,440 --> 00:16:41,640 Speaker 3: to have oxygen. And they got this Mavic three Pro 346 00:16:41,920 --> 00:16:44,520 Speaker 3: and it continued the climb. It's got footage, so it's 347 00:16:44,520 --> 00:16:48,200 Speaker 3: all proof. What they call the Everest balcony is at 348 00:16:48,240 --> 00:16:52,080 Speaker 3: twenty seven thousand feet, the Hillary step is twenty eight thousand, 349 00:16:52,280 --> 00:16:55,200 Speaker 3: and then the actual summit eight thousand, eight hundred and 350 00:16:55,440 --> 00:16:58,080 Speaker 3: forty eight meters. It got up there, so that's quite 351 00:16:58,120 --> 00:17:00,320 Speaker 3: interesting because there's a lot of technical aspects to that 352 00:17:00,680 --> 00:17:04,560 Speaker 3: because you know your battery will perform less well in 353 00:17:04,680 --> 00:17:07,639 Speaker 3: extreme cold, so the cold is a major factor. It's 354 00:17:07,720 --> 00:17:11,480 Speaker 3: exceptionally windy. That's why there's only a very narrow window 355 00:17:11,560 --> 00:17:14,480 Speaker 3: period when people can climb the summit of Everest because 356 00:17:14,520 --> 00:17:19,119 Speaker 3: it just gets so well, death defyingly windy. And this 357 00:17:19,240 --> 00:17:21,119 Speaker 3: is kind of interesting. I just thought it was quite 358 00:17:21,160 --> 00:17:23,720 Speaker 3: an amazing feat to get that up there. But I 359 00:17:23,840 --> 00:17:26,000 Speaker 3: was thinking of all the things you could do when 360 00:17:26,080 --> 00:17:29,920 Speaker 3: you had a remote control drone, because you could look 361 00:17:30,000 --> 00:17:33,440 Speaker 3: for the rubbish that's there, potentially the bodies, like search 362 00:17:33,520 --> 00:17:37,000 Speaker 3: and rescue stuff. So there's so much potential when you 363 00:17:37,119 --> 00:17:40,240 Speaker 3: think of what that means from a technical perspective, when 364 00:17:40,280 --> 00:17:42,520 Speaker 3: you're using something that's not a you know, one hundred 365 00:17:42,600 --> 00:17:44,760 Speaker 3: thousand dollar piece of equipment, but it's just something you 366 00:17:44,800 --> 00:17:47,199 Speaker 3: can go to JB. Hi Fi and by today if 367 00:17:47,240 --> 00:17:47,680 Speaker 3: you wanted to. 368 00:17:48,520 --> 00:17:51,399 Speaker 1: I wonder if as the drone got higher, did the 369 00:17:51,520 --> 00:17:54,200 Speaker 1: operator have to move up the mountain? Patrick, if you 370 00:17:54,320 --> 00:17:56,760 Speaker 1: know what I mean, Like, I can't imagine that you 371 00:17:56,840 --> 00:18:00,640 Speaker 1: could be at sea level and fly that thing six 372 00:18:00,760 --> 00:18:01,800 Speaker 1: kilometers in the air. 373 00:18:02,119 --> 00:18:04,560 Speaker 3: You can. In fact, I think my drone has a 374 00:18:04,720 --> 00:18:08,040 Speaker 3: range of seven kilometers. Look, there are regulations, and of 375 00:18:08,119 --> 00:18:10,440 Speaker 3: course you're not allowed to fly a drone that high 376 00:18:10,680 --> 00:18:13,280 Speaker 3: on ordinarily, so they would have had to have got mission. 377 00:18:13,760 --> 00:18:17,480 Speaker 3: But what happens is that DJI have this kind of 378 00:18:17,640 --> 00:18:21,040 Speaker 3: light bridge technology which allows it to beam and keep 379 00:18:21,160 --> 00:18:23,439 Speaker 3: talking to the drone if it's direct line of sights. 380 00:18:24,200 --> 00:18:28,600 Speaker 3: I think, yeah, you can, you absolutely can, you know, 381 00:18:28,760 --> 00:18:32,199 Speaker 3: be fully remote and stay down there. That's that's amazing. 382 00:18:32,400 --> 00:18:36,920 Speaker 3: We could follow Tiff on her just like surreptitiously be 383 00:18:37,040 --> 00:18:38,320 Speaker 3: recording Tiff does. 384 00:18:39,240 --> 00:18:41,840 Speaker 1: We could follow her on one of the numerous dates 385 00:18:42,080 --> 00:18:45,960 Speaker 1: she does each week, and we could could just download 386 00:18:46,000 --> 00:18:50,720 Speaker 1: the data onto some dark web website. He speaking of 387 00:18:50,840 --> 00:18:54,760 Speaker 1: drones all over the news this week, Patrick and tiff 388 00:18:55,240 --> 00:18:58,359 Speaker 1: et l they've been I don't know if I've just 389 00:18:58,400 --> 00:19:00,560 Speaker 1: seen it, but I've seen about three different stories on 390 00:19:00,640 --> 00:19:04,520 Speaker 1: different channels about how lots of fast food restaurants are 391 00:19:04,560 --> 00:19:08,200 Speaker 1: now adopting drone deliveries, which you've probably seen, mate, and 392 00:19:08,359 --> 00:19:11,040 Speaker 1: they can take up to a kit not just not 393 00:19:11,240 --> 00:19:14,600 Speaker 1: just fast food but also supermarkets and stuff which seems 394 00:19:14,640 --> 00:19:18,520 Speaker 1: a little bit not really equipped at this because it 395 00:19:18,760 --> 00:19:21,800 Speaker 1: only can carry one kelo most of them. How on 396 00:19:22,000 --> 00:19:25,359 Speaker 1: earth do they make that financially viable? Mate, Like, if 397 00:19:25,440 --> 00:19:29,879 Speaker 1: somebody buys a fifteen dollar order from Hungry Jacks or 398 00:19:29,920 --> 00:19:33,000 Speaker 1: wherever it is, then the thing's got to be picked up. 399 00:19:33,160 --> 00:19:35,159 Speaker 1: Then it's got to be flown to old Mate in 400 00:19:35,280 --> 00:19:38,440 Speaker 1: bloody East Mentley, and then it's got to be flown back. 401 00:19:38,520 --> 00:19:41,800 Speaker 1: Somebody's got to operate it. How on earth do you 402 00:19:41,920 --> 00:19:42,879 Speaker 1: know about this stuff? 403 00:19:43,000 --> 00:19:45,480 Speaker 3: Or Noah, Amazon's doing a trial at the moment in 404 00:19:45,600 --> 00:19:48,240 Speaker 3: the eastern suburbs of Melbourne. So I don't quite think 405 00:19:48,280 --> 00:19:51,760 Speaker 3: that you can get them at your place just yet. Look, 406 00:19:51,840 --> 00:19:54,080 Speaker 3: it must be financially, we'll think about it. If you've 407 00:19:54,119 --> 00:19:56,400 Speaker 3: got to get a person to do the delivery, drive 408 00:19:56,560 --> 00:20:01,199 Speaker 3: a petrol driven vehicle or a motorbike, there's an expense 409 00:20:01,240 --> 00:20:04,040 Speaker 3: associated with that. Then you've got the hourly rate to 410 00:20:04,200 --> 00:20:07,000 Speaker 3: do that too. So I don't know how autonomous they 411 00:20:07,000 --> 00:20:08,720 Speaker 3: are because obviously, as you say, there's got to be 412 00:20:08,760 --> 00:20:12,119 Speaker 3: an operator, but potentially a person could be there semi 413 00:20:12,280 --> 00:20:15,879 Speaker 3: operating a number of different drones because when you've got 414 00:20:15,920 --> 00:20:18,879 Speaker 3: that sweet spot at a certain height, there's no traffic, 415 00:20:18,960 --> 00:20:22,800 Speaker 3: you're not high enough because the regulations in Australia say 416 00:20:22,960 --> 00:20:25,880 Speaker 3: that you need to be under the threshold of where 417 00:20:25,880 --> 00:20:29,480 Speaker 3: a light plane can fly. So there's a hundred feet 418 00:20:29,520 --> 00:20:31,760 Speaker 3: between you and where a light plane can fly, but 419 00:20:31,880 --> 00:20:35,520 Speaker 3: you're well above where there could be potentially any buildings. 420 00:20:35,880 --> 00:20:38,760 Speaker 3: So A to B is quite simple. It's just as 421 00:20:38,840 --> 00:20:41,160 Speaker 3: the crow flies or the drone flies, as the case 422 00:20:41,200 --> 00:20:45,240 Speaker 3: may be. And so an operator could be operating multiple drones. 423 00:20:45,520 --> 00:20:47,440 Speaker 3: If you're going from point A to point B, so 424 00:20:47,640 --> 00:20:52,760 Speaker 3: wonder TIFF's place, Wonder Crag goes place, the GPS information, 425 00:20:53,200 --> 00:20:54,960 Speaker 3: then it's just a matter of getting it there. So 426 00:20:55,040 --> 00:20:58,399 Speaker 3: you wouldn't really want the person to remote control it, 427 00:20:58,880 --> 00:21:01,240 Speaker 3: just to be aware of what it's doing by a camera. 428 00:21:01,640 --> 00:21:04,760 Speaker 3: So you could really be operating multiple drones at any 429 00:21:04,800 --> 00:21:05,359 Speaker 3: given time. 430 00:21:07,440 --> 00:21:11,080 Speaker 1: I saw them where basically winch is down on like 431 00:21:11,200 --> 00:21:13,840 Speaker 1: this rope winch or something, and I thought, for sure 432 00:21:14,720 --> 00:21:17,240 Speaker 1: some eight en year old moron is going to order 433 00:21:17,320 --> 00:21:19,760 Speaker 1: a hamburger. Then the winch will come down and they'll 434 00:21:19,920 --> 00:21:22,800 Speaker 1: just yank on the winch and destroy the jont the drone. 435 00:21:22,960 --> 00:21:25,320 Speaker 3: Yeah, but they're going to know where he lives. Matey, 436 00:21:25,520 --> 00:21:26,680 Speaker 3: I know, but still. 437 00:21:28,240 --> 00:21:30,520 Speaker 1: Potentially order I'd order it from your joint. 438 00:21:30,640 --> 00:21:34,639 Speaker 3: I know you would, I know you would. Yeah, you 439 00:21:34,680 --> 00:21:37,440 Speaker 3: know what, but seriously, though, you're talking about a payload 440 00:21:37,440 --> 00:21:39,720 Speaker 3: of a kilo. What if someone's sick with the flu 441 00:21:40,000 --> 00:21:42,760 Speaker 3: or covid can't get to the chemist. Now see, in 442 00:21:42,880 --> 00:21:45,919 Speaker 3: those instances that would be so useful. A you can 443 00:21:45,960 --> 00:21:49,640 Speaker 3: get your medication really quickly and you're in firm if 444 00:21:49,800 --> 00:21:52,760 Speaker 3: you know, for your folks. You know, it gets hard 445 00:21:52,800 --> 00:21:54,880 Speaker 3: for people to drive, or to get outdoors, or it's 446 00:21:54,960 --> 00:21:58,600 Speaker 3: whatever the conditions are. It's a really hot day. You know, 447 00:21:58,880 --> 00:22:00,879 Speaker 3: there's any number of scenarios where I could see that 448 00:22:00,920 --> 00:22:03,399 Speaker 3: the drones would be really useful. And also, because you've 449 00:22:03,440 --> 00:22:05,760 Speaker 3: got no traffic to contend with, what might be a 450 00:22:05,840 --> 00:22:10,359 Speaker 3: twenty minute drive could be seven minutes by drone straight 451 00:22:10,440 --> 00:22:14,320 Speaker 3: to your place. My drone goes about seventy five kilometers 452 00:22:14,440 --> 00:22:18,000 Speaker 3: and our direct line of sight, so that is pretty quick. 453 00:22:18,359 --> 00:22:20,639 Speaker 3: And if you're in a built up area, so you know, 454 00:22:20,920 --> 00:22:23,919 Speaker 3: and you're looking at a footprint of maybe ten kilometers, 455 00:22:24,200 --> 00:22:25,760 Speaker 3: then then it's not going to take you very long 456 00:22:25,840 --> 00:22:26,639 Speaker 3: to get from A to B. 457 00:22:27,840 --> 00:22:31,120 Speaker 1: It's buddy, I mean alsill in s aside the rate 458 00:22:31,160 --> 00:22:34,080 Speaker 1: at which things are evolving and changing with technology and 459 00:22:34,160 --> 00:22:37,440 Speaker 1: everything from chat, GPT to drones to you make a 460 00:22:37,480 --> 00:22:41,960 Speaker 1: really good point, especially you know, in remote locations where 461 00:22:42,119 --> 00:22:46,240 Speaker 1: people can't you know, like if somebody needs insulin in 462 00:22:46,359 --> 00:22:49,280 Speaker 1: a hurry and they live one hundred kilometers from the 463 00:22:49,400 --> 00:22:53,440 Speaker 1: nearest pharmacy or you know, yeah, there are some potentially 464 00:22:54,280 --> 00:22:59,560 Speaker 1: amazing applications and benefits just quickly before we jump into 465 00:22:59,600 --> 00:23:02,760 Speaker 1: your list. Also, I don't know if you saw this 466 00:23:02,920 --> 00:23:04,480 Speaker 1: on the news or if you saw it Tiff, but 467 00:23:04,560 --> 00:23:10,200 Speaker 1: an Australian dude invented a titanium heart, like a fully 468 00:23:10,359 --> 00:23:15,680 Speaker 1: functional operational heart replacement. It's the size of a heart. 469 00:23:15,760 --> 00:23:22,960 Speaker 1: You're typing, Patrick's typing, so, Tiff, And so they just 470 00:23:23,119 --> 00:23:26,000 Speaker 1: transplanted or they just put one into the first patient 471 00:23:26,160 --> 00:23:30,679 Speaker 1: in the States, and it's like this guy's been building 472 00:23:30,720 --> 00:23:34,040 Speaker 1: it for a long time and it works. So the 473 00:23:34,480 --> 00:23:37,040 Speaker 1: intention at the moment is that they will kind of 474 00:23:37,119 --> 00:23:40,320 Speaker 1: be a stop gap while somebody is waiting for a heart, 475 00:23:41,480 --> 00:23:44,720 Speaker 1: a human heart. But they believe that they're going to 476 00:23:44,760 --> 00:23:47,760 Speaker 1: be good enough in the not too distant future to 477 00:23:48,040 --> 00:23:50,399 Speaker 1: just replace a human heart. And that's what people will 478 00:23:50,480 --> 00:23:55,560 Speaker 1: have one of those. So no rejection, No, you know, 479 00:23:55,640 --> 00:24:00,879 Speaker 1: there's no different genetic tissue that the body's going to 480 00:24:00,920 --> 00:24:05,159 Speaker 1: adapt to. And I just looked at it and it's small. 481 00:24:05,280 --> 00:24:07,760 Speaker 1: You know, it's like the size of your fist. If that, 482 00:24:08,600 --> 00:24:11,359 Speaker 1: I thought, oh my god, imagine. You know, people are 483 00:24:11,400 --> 00:24:14,439 Speaker 1: going to have diseased hearts in the not too distant future. 484 00:24:14,480 --> 00:24:16,480 Speaker 1: They're going to go in, they're going to get a 485 00:24:16,560 --> 00:24:19,800 Speaker 1: new heart, titanium heart put in and w out in 486 00:24:19,840 --> 00:24:23,280 Speaker 1: a few days and just carry on bloody amazing. 487 00:24:23,680 --> 00:24:26,560 Speaker 3: So the titanium heart, So titanium, I guess, is a 488 00:24:26,720 --> 00:24:28,560 Speaker 3: metal that doesn't get rejected by the body. 489 00:24:30,040 --> 00:24:32,320 Speaker 1: I think that's one of the things. And it's also 490 00:24:32,520 --> 00:24:37,280 Speaker 1: very light, it's all. You don't want seven pounds of 491 00:24:37,400 --> 00:24:40,960 Speaker 1: steel in your chest. It gets a bit rusty. We 492 00:24:41,040 --> 00:24:42,680 Speaker 1: should have got the galvanized one. 493 00:24:43,080 --> 00:24:44,600 Speaker 3: Wait a minute, I got testicles. 494 00:24:44,880 --> 00:24:50,040 Speaker 1: No, wait a minute, Yeah, I know, it's I mean 495 00:24:50,359 --> 00:24:53,159 Speaker 1: everything and I saw it dode the other day and 496 00:24:53,240 --> 00:24:56,959 Speaker 1: then I'll shut up. So here is a oh gee. 497 00:24:57,080 --> 00:25:00,040 Speaker 1: I'm not sure if his paraplegic or a quadriplegic, but 498 00:25:00,119 --> 00:25:02,240 Speaker 1: he was wearing one of those suits that you've told 499 00:25:02,320 --> 00:25:06,639 Speaker 1: us about, like the exoskeleton that people strap themselves into 500 00:25:06,840 --> 00:25:11,080 Speaker 1: or get strapped into. And he was in inverted commas 501 00:25:11,119 --> 00:25:15,080 Speaker 1: walking and he's a paraplegic or a quiet I can't 502 00:25:15,119 --> 00:25:18,119 Speaker 1: remember my bad but the smile on his face, like 503 00:25:18,160 --> 00:25:20,560 Speaker 1: because he wasn't in a chair, he was actually upright. 504 00:25:20,640 --> 00:25:23,359 Speaker 1: He was six foot tall. He was walking carrying the 505 00:25:24,200 --> 00:25:27,080 Speaker 1: carrying the Olympic torch. I went, how fucking great is that? 506 00:25:27,640 --> 00:25:29,200 Speaker 1: Imagine when that's commonplace. 507 00:25:31,080 --> 00:25:34,400 Speaker 3: Yeah, it's exciting. Just as a segue to that heart, 508 00:25:35,280 --> 00:25:38,240 Speaker 3: the titanium heart. I think one of the things that 509 00:25:38,760 --> 00:25:40,960 Speaker 3: I've kind of looked into over the years that Rudy 510 00:25:41,040 --> 00:25:45,840 Speaker 3: excites me is the notion of growing a heart from 511 00:25:45,960 --> 00:25:50,520 Speaker 3: your own stem cells, So being able to take donor 512 00:25:50,600 --> 00:25:56,040 Speaker 3: cells and then grow and culture a heart or cardiac tissue. 513 00:25:56,200 --> 00:25:58,440 Speaker 3: I know they can culture cardiac tissue at the moment, 514 00:25:58,680 --> 00:26:01,000 Speaker 3: so that could poventually be used for grafts and stuff 515 00:26:01,080 --> 00:26:03,960 Speaker 3: like that. But if you could grow another heart, grow 516 00:26:04,040 --> 00:26:06,040 Speaker 3: your own heart, that that would blow my mind. And 517 00:26:06,240 --> 00:26:10,080 Speaker 3: of course that means the zero tissue rejection, so that yeah, 518 00:26:10,800 --> 00:26:11,320 Speaker 3: pretty epic. 519 00:26:11,600 --> 00:26:14,400 Speaker 1: Well, Professor Sharon Riccardo, who we've had on this show 520 00:26:14,520 --> 00:26:18,240 Speaker 1: numerous times, she's the head of biomedicine at Melbourne. Sorry, 521 00:26:18,800 --> 00:26:23,639 Speaker 1: fucking now, at my uni, Monash, I'm sorry, monash, admonish 522 00:26:23,760 --> 00:26:28,440 Speaker 1: me admonash me And see what I did there? She's 523 00:26:28,560 --> 00:26:31,240 Speaker 1: they do shit like grow ears on the back of 524 00:26:31,359 --> 00:26:35,760 Speaker 1: rats and all of that human human ears. Yeah, yeah, yeah, yeah, 525 00:26:35,880 --> 00:26:37,120 Speaker 1: have a look at that tip. 526 00:26:37,240 --> 00:26:40,200 Speaker 5: Google that here on the back of a rat where 527 00:26:40,200 --> 00:26:44,960 Speaker 5: they actually ah yeah yeah, ah yeah, but they're growing 528 00:26:45,920 --> 00:26:48,800 Speaker 5: tissue and skin and developing cells and organs. 529 00:26:48,880 --> 00:26:52,800 Speaker 1: And you're right, Patrick, it ain't it ain't that far away. 530 00:26:54,280 --> 00:26:56,359 Speaker 3: Yeah, that's the exciting thing that I'm thinking of, because 531 00:26:56,400 --> 00:26:59,000 Speaker 3: not everybody has an identical twin brother they can use 532 00:26:59,040 --> 00:27:02,240 Speaker 3: for spare parts. Yeah, that you think of as spare parts. 533 00:27:02,720 --> 00:27:05,480 Speaker 1: Well, no, that's a good idea, though. Tip did you 534 00:27:05,560 --> 00:27:07,480 Speaker 1: find the rat on the ear on the rat? 535 00:27:07,640 --> 00:27:09,239 Speaker 4: I don't think, I know, I can't. I don't want 536 00:27:09,280 --> 00:27:11,800 Speaker 4: to look at it. I'm a bit bothered by the 537 00:27:12,160 --> 00:27:17,479 Speaker 4: sacrificial animals just so that the human race can fucking Now, 538 00:27:17,520 --> 00:27:18,200 Speaker 4: I'm not being on it. 539 00:27:19,480 --> 00:27:24,480 Speaker 1: Well that okay, Oh, so many things I can say, 540 00:27:24,520 --> 00:27:26,159 Speaker 1: but I'll get in trouble either way. So I'm going 541 00:27:26,200 --> 00:27:29,719 Speaker 1: to say I agree with you. It's fucking horrible. Tip Patrick, 542 00:27:29,800 --> 00:27:33,680 Speaker 1: tell us about China's military style. I think this is 543 00:27:33,760 --> 00:27:36,240 Speaker 1: something I want for Christmas. I know, you know, a 544 00:27:36,400 --> 00:27:40,199 Speaker 1: fairy style electric off roader complete with guns. 545 00:27:40,680 --> 00:27:43,280 Speaker 3: Okay, it's not real guns. What they've done is if 546 00:27:43,359 --> 00:27:45,560 Speaker 3: you look at the inside of the cabin where the 547 00:27:45,680 --> 00:27:48,680 Speaker 3: handle is to open the door, they've designed it to 548 00:27:48,800 --> 00:27:51,680 Speaker 3: look like a gun. This is an electric car that's 549 00:27:51,720 --> 00:27:55,440 Speaker 3: been released in China. It's called the Don Thing m 550 00:27:55,760 --> 00:28:01,520 Speaker 3: hero mng she nine one seven. That's a mouthful in that. Wow, 551 00:28:01,840 --> 00:28:03,639 Speaker 3: the inside of the door. So I did. I did 552 00:28:03,680 --> 00:28:05,439 Speaker 3: include the picture just for you, Craigo. 553 00:28:05,560 --> 00:28:07,919 Speaker 1: Yeah, I can see it. It looks awesome. I actually 554 00:28:08,000 --> 00:28:10,280 Speaker 1: think that's not an ugly That's not an ugly car, 555 00:28:10,400 --> 00:28:12,119 Speaker 1: by the way, because it looks like your car. That's 556 00:28:12,160 --> 00:28:14,680 Speaker 1: why you're saying it's not ugly. No, it doesn't look 557 00:28:14,680 --> 00:28:15,720 Speaker 1: anything like my car. 558 00:28:16,359 --> 00:28:18,320 Speaker 3: A little bit. Your car's a bit tanky. You could 559 00:28:18,320 --> 00:28:19,440 Speaker 3: put a turret on the top of your. 560 00:28:19,400 --> 00:28:22,840 Speaker 1: Bar just because it's an SUV, My fucking l you 561 00:28:22,960 --> 00:28:24,440 Speaker 1: know nothing cars. 562 00:28:24,400 --> 00:28:27,000 Speaker 3: Where is in the s is a tif don't you reckon? 563 00:28:27,400 --> 00:28:28,600 Speaker 3: Put a turret on top of the crowd. 564 00:28:28,680 --> 00:28:31,280 Speaker 1: Nobody can see my car or this car, so move on. 565 00:28:31,800 --> 00:28:34,440 Speaker 3: Just imagine a Sherman tank and that's all with four 566 00:28:34,440 --> 00:28:36,480 Speaker 3: wheels instead of those tractor things. 567 00:28:37,840 --> 00:28:40,880 Speaker 1: So the bottom line is they've got door handles inside 568 00:28:40,960 --> 00:28:42,280 Speaker 1: that look like a pistol. 569 00:28:42,800 --> 00:28:45,240 Speaker 3: Yeah, like Colt revolver. I think it is what they've 570 00:28:45,280 --> 00:28:47,800 Speaker 3: designed for. Think they are coming out to Australia. There's 571 00:28:47,800 --> 00:28:49,200 Speaker 3: a plan to bring them out because there's a lot 572 00:28:49,280 --> 00:28:52,720 Speaker 3: more electric cars coming out to Australia. They're giving Tesla 573 00:28:52,800 --> 00:28:54,440 Speaker 3: a run for their money at the moment. 574 00:28:55,120 --> 00:28:58,720 Speaker 1: But yeah, a lot yeah byd one of the big 575 00:28:58,840 --> 00:29:04,920 Speaker 1: Chinese brands that are just byd GWM. There's a whole, 576 00:29:05,440 --> 00:29:07,320 Speaker 1: a whole lot. One in seven might be more now 577 00:29:07,400 --> 00:29:10,080 Speaker 1: one in seven cars being sold in Australia at the 578 00:29:10,120 --> 00:29:11,240 Speaker 1: minute Chinese. 579 00:29:11,720 --> 00:29:14,240 Speaker 3: Yeah, yeah, so there you go. But no, I just 580 00:29:14,240 --> 00:29:16,000 Speaker 3: thought you'd be interested because it just looked like such 581 00:29:16,040 --> 00:29:17,840 Speaker 3: a big boys toy, isn't it. 582 00:29:18,120 --> 00:29:21,320 Speaker 1: Yeah, Well, I love big boys toys. All right, tell 583 00:29:21,440 --> 00:29:24,560 Speaker 1: us you steer the ship every time, I say every 584 00:29:24,600 --> 00:29:27,080 Speaker 1: time I pick one of your things that you probably didn't, right, 585 00:29:27,200 --> 00:29:31,880 Speaker 1: Christian probably did this list. You've probably got no idea 586 00:29:31,960 --> 00:29:33,840 Speaker 1: what none of these talking points are about. 587 00:29:34,000 --> 00:29:38,040 Speaker 3: So no, IOK. There is one that I because I 588 00:29:38,160 --> 00:29:41,440 Speaker 3: live in a rural town. I was driving to Ballarato, 589 00:29:41,560 --> 00:29:45,040 Speaker 3: driving west of Melbourne and there's a spot just out 590 00:29:45,080 --> 00:29:47,280 Speaker 3: of the town that I live in where for five 591 00:29:47,400 --> 00:29:51,360 Speaker 3: or ten minutes we've got absolutely zero phone coverage. It's 592 00:29:51,400 --> 00:29:53,520 Speaker 3: only an hour and ten minutes out of Melbourne, and 593 00:29:53,920 --> 00:29:56,719 Speaker 3: there's a lot of black spots around Melbourne, a lot 594 00:29:56,760 --> 00:29:59,760 Speaker 3: of black spots around a lot of areas. And with 595 00:30:00,040 --> 00:30:04,440 Speaker 3: thirty nine million mobile phone accounts across Australia, this is 596 00:30:04,480 --> 00:30:09,360 Speaker 3: what it's estimated. Interestingly, mobile phone services are not at 597 00:30:09,400 --> 00:30:12,200 Speaker 3: this stage classified as essential, so there's a really big 598 00:30:12,320 --> 00:30:17,120 Speaker 3: push by the Telecommunications ombudsman to change to make mobile 599 00:30:17,200 --> 00:30:22,280 Speaker 3: phones and the access to an essential service like electricity, 600 00:30:22,440 --> 00:30:25,160 Speaker 3: like gas, like water, that sort of stuff. So, believe 601 00:30:25,200 --> 00:30:27,200 Speaker 3: it or not, it's not an essential service. And we 602 00:30:27,640 --> 00:30:29,520 Speaker 3: know that there have been outages. You know when Optus 603 00:30:29,560 --> 00:30:32,600 Speaker 3: went down last year and there was a recent situation 604 00:30:32,720 --> 00:30:35,479 Speaker 3: where a small rural town which was connected by Telstra 605 00:30:35,600 --> 00:30:39,160 Speaker 3: went down and they were without any communication, without any 606 00:30:39,240 --> 00:30:42,400 Speaker 3: ability to sell anything at the shops because they needed 607 00:30:42,440 --> 00:30:45,960 Speaker 3: connectivity there. So it does put you. It was Port 608 00:30:46,000 --> 00:30:49,640 Speaker 3: Dennis and the EGO three hundred and fifty three kilometers 609 00:30:49,920 --> 00:30:53,880 Speaker 3: away from Perth. North of Perth, But wow, I would 610 00:30:53,920 --> 00:30:57,320 Speaker 3: have thought phones would have been an essential service, wouldn't you? 611 00:30:57,480 --> 00:30:58,000 Speaker 3: Or is it just me? 612 00:30:58,240 --> 00:31:00,920 Speaker 1: Yeah? Well, I mean for a lot of people, that's 613 00:31:00,960 --> 00:31:03,640 Speaker 1: life and death if you can't. I mean really, it's 614 00:31:03,800 --> 00:31:06,080 Speaker 1: just being able to connect with somebody when you need to. 615 00:31:06,440 --> 00:31:09,840 Speaker 1: And yeah, I would have thought that would have fallen 616 00:31:10,120 --> 00:31:14,000 Speaker 1: under the banner of essential services. Just before you move on, 617 00:31:14,080 --> 00:31:15,720 Speaker 1: I wanted to ask you. I don't even know what 618 00:31:15,800 --> 00:31:18,320 Speaker 1: it was, but I do know that the world came 619 00:31:18,440 --> 00:31:21,320 Speaker 1: to a temporary halt the other day because something crashed. 620 00:31:21,680 --> 00:31:23,920 Speaker 1: I don't know enough because I was busy doing other 621 00:31:24,000 --> 00:31:27,120 Speaker 1: things and I should be more interested, But I know 622 00:31:27,280 --> 00:31:30,880 Speaker 1: that the bits of the airport shut down, flights were canceled. 623 00:31:31,920 --> 00:31:33,560 Speaker 1: Do you know what happened and what was that about. 624 00:31:34,360 --> 00:31:37,960 Speaker 3: There's a piece of high end anti virus software effectively 625 00:31:38,000 --> 00:31:43,440 Speaker 3: security software, called crowd Strike and its powers a lot 626 00:31:43,520 --> 00:31:48,040 Speaker 3: of the Microsoft Windows operating system at the higher end. 627 00:31:48,480 --> 00:31:50,560 Speaker 3: And what they did was they pushed out an update, 628 00:31:51,120 --> 00:31:53,080 Speaker 3: but it gave the blue screen of death. We're all, 629 00:31:53,080 --> 00:31:55,120 Speaker 3: permission familiar with the term of the blue screen of death. 630 00:31:55,160 --> 00:31:56,640 Speaker 3: You know your computer crashes and all you get is 631 00:31:56,640 --> 00:31:59,520 Speaker 3: a blue screen. Well, effectively did that and it was 632 00:32:00,120 --> 00:32:02,320 Speaker 3: so I mean, I go, I'm talking time reference, but 633 00:32:02,400 --> 00:32:05,040 Speaker 3: it was a week away, a week previously our time. 634 00:32:05,440 --> 00:32:09,200 Speaker 3: But effectively, suddenly all these computers that we're using this 635 00:32:09,440 --> 00:32:13,800 Speaker 3: service crowd strike for their security suddenly had did an 636 00:32:13,800 --> 00:32:17,400 Speaker 3: auto update and it basically bricked all of the machines. 637 00:32:17,600 --> 00:32:20,200 Speaker 3: And that's another term we use, so if something breaks 638 00:32:20,400 --> 00:32:22,360 Speaker 3: and you can't use it anymore, it's called bricking it. 639 00:32:22,920 --> 00:32:25,800 Speaker 3: So they all got bricked, and it was it was 640 00:32:25,840 --> 00:32:31,120 Speaker 3: pretty pretty massive. And now the financial implications to business, 641 00:32:31,640 --> 00:32:34,880 Speaker 3: it's estimated just in Australia this outage could surpass a 642 00:32:35,000 --> 00:32:38,680 Speaker 3: billion dollars of lost revenue because it's not just that 643 00:32:38,840 --> 00:32:41,240 Speaker 3: one night. It's kind of pushed out into you know, 644 00:32:41,400 --> 00:32:43,880 Speaker 3: further as well. But it also kind of makes us 645 00:32:44,080 --> 00:32:48,360 Speaker 3: really think about how reliant so many organizations were on 646 00:32:48,560 --> 00:32:53,240 Speaker 3: one single piece of software. Made by this one manufacturer, 647 00:32:53,640 --> 00:32:56,600 Speaker 3: and you know, it kind of makes us reflect on 648 00:32:56,720 --> 00:33:00,320 Speaker 3: how much, you know, we do rely I made of 649 00:33:00,360 --> 00:33:03,160 Speaker 3: mine works at the airport and they are handwriting slips, 650 00:33:03,520 --> 00:33:06,360 Speaker 3: you know, boarding slips. Wow, they had no way to 651 00:33:06,440 --> 00:33:09,000 Speaker 3: print them, no way to know in our flights were 652 00:33:09,040 --> 00:33:13,880 Speaker 3: just canceled anyway. But all about Craigo, it does make 653 00:33:13,960 --> 00:33:19,800 Speaker 3: you realize, mate, how much or how little control perhaps 654 00:33:19,960 --> 00:33:23,960 Speaker 3: we have with some things. You know, my mum, God 655 00:33:24,040 --> 00:33:24,440 Speaker 3: bless her. 656 00:33:24,480 --> 00:33:26,520 Speaker 1: If you know my mom, don't tell her I said this, 657 00:33:26,680 --> 00:33:30,320 Speaker 1: But in the last week I've had to kind of 658 00:33:31,640 --> 00:33:37,960 Speaker 1: take the reins of mum and Dad's bills, right, because 659 00:33:38,520 --> 00:33:40,760 Speaker 1: you know, Mary can't pay with a check anymore, she 660 00:33:40,840 --> 00:33:43,440 Speaker 1: can't pay with cash anymore, she can't drive down to 661 00:33:43,520 --> 00:33:47,000 Speaker 1: wherever and just pay the whatever because everything has to 662 00:33:47,240 --> 00:33:48,840 Speaker 1: And she goes in they go, oh, I no, you 663 00:33:48,920 --> 00:33:51,520 Speaker 1: can't do that, missus harp. You've got to pay it electronically, 664 00:33:51,600 --> 00:33:53,480 Speaker 1: and she goes, I don't know how to do that, 665 00:33:53,560 --> 00:33:57,400 Speaker 1: and they go, oh, well next, you know, and so 666 00:33:58,400 --> 00:34:01,600 Speaker 1: my poor mum, God bles. So the last week or 667 00:34:01,720 --> 00:34:06,600 Speaker 1: so it's just been you know, where Thank God that 668 00:34:07,520 --> 00:34:09,600 Speaker 1: that not that she's got me, but thank God that 669 00:34:09,680 --> 00:34:13,719 Speaker 1: she's got a person in her life that she implicitly 670 00:34:13,840 --> 00:34:17,200 Speaker 1: trusts that she now doesn't have to, you know, because 671 00:34:17,239 --> 00:34:20,120 Speaker 1: you think about its power and it's electricity, and it's 672 00:34:20,239 --> 00:34:22,799 Speaker 1: regio on their two cars, and insurance on the house 673 00:34:22,840 --> 00:34:25,960 Speaker 1: and this and that and gas and you know, incidentals 674 00:34:26,040 --> 00:34:30,040 Speaker 1: and and it's so stressful for her. And then you know, 675 00:34:30,160 --> 00:34:33,200 Speaker 1: she went up to Telstra and she couldn't even understand 676 00:34:33,360 --> 00:34:37,040 Speaker 1: what they were talking about, Like she didn't understand the 677 00:34:37,120 --> 00:34:40,200 Speaker 1: man who is which I'm not mad at him, but 678 00:34:40,680 --> 00:34:43,359 Speaker 1: here's this eight nearly eighty five year old with shit 679 00:34:43,480 --> 00:34:48,759 Speaker 1: hearing who does not understand any part of technology. She 680 00:34:48,960 --> 00:34:51,360 Speaker 1: can't actually go to tel Stra and have a conversation 681 00:34:51,520 --> 00:34:54,320 Speaker 1: and know what's going on because no one speaks her language. 682 00:34:55,000 --> 00:34:59,160 Speaker 1: And so, you know, I'm thinking, and all the millions 683 00:34:59,200 --> 00:35:02,279 Speaker 1: of people who are seventy seventy five eighty, I don't 684 00:35:02,280 --> 00:35:04,719 Speaker 1: know how your dad is, Tiff, But fucking hell, Ron 685 00:35:04,800 --> 00:35:08,520 Speaker 1: and Mary. If not, if they didn't have me or 686 00:35:08,680 --> 00:35:12,960 Speaker 1: someone like me, I literally don't know how they would exist. 687 00:35:13,280 --> 00:35:14,479 Speaker 1: You know, what about you, Tiff? 688 00:35:15,680 --> 00:35:19,200 Speaker 4: Yeah, my dad's pretty good with it, but I don't know. 689 00:35:19,560 --> 00:35:23,520 Speaker 4: I think it's it's hard. I always worry about mister 690 00:35:23,600 --> 00:35:26,480 Speaker 4: Ife he can get into again because even I get 691 00:35:26,600 --> 00:35:29,120 Speaker 4: messages about stuff, and you don't know what's legit and 692 00:35:29,200 --> 00:35:31,520 Speaker 4: what's not. You get taken on a bum steer real quick, 693 00:35:32,280 --> 00:35:33,840 Speaker 4: well away. 694 00:35:33,880 --> 00:35:36,520 Speaker 1: Maybe Patrick, you can come up with a solution, because 695 00:35:36,560 --> 00:35:39,280 Speaker 1: it's not like it's only about twenty people. There's millions 696 00:35:39,320 --> 00:35:40,320 Speaker 1: of people in that boat. 697 00:35:40,840 --> 00:35:44,000 Speaker 3: My dad's about turn eighty nine this year. And if 698 00:35:44,080 --> 00:35:46,640 Speaker 3: it wasn't that my brother lived close by, a lot 699 00:35:46,719 --> 00:35:49,759 Speaker 3: of that tech sport is going on there and the 700 00:35:49,840 --> 00:35:52,800 Speaker 3: phone calls. You know, I can't log into Netflix anymore, 701 00:35:53,080 --> 00:35:56,759 Speaker 3: the basic stuff. We take it for granted. And you know, 702 00:35:57,160 --> 00:36:00,680 Speaker 3: I was talking to one of our listeners during on Friday, 703 00:36:01,280 --> 00:36:03,960 Speaker 3: Mark Ko. He runs a training business and he travels 704 00:36:04,080 --> 00:36:07,440 Speaker 3: all over Western Australia and all over the shop and 705 00:36:07,960 --> 00:36:10,960 Speaker 3: you know, he was just needing to set up emails 706 00:36:11,000 --> 00:36:13,760 Speaker 3: on a Mac and I don't use a Mac computer. 707 00:36:13,960 --> 00:36:17,200 Speaker 3: And the trouble that I had navigating a map to 708 00:36:17,320 --> 00:36:20,839 Speaker 3: get it set up was crazy. So you know, when 709 00:36:21,360 --> 00:36:24,240 Speaker 3: someone who feels they're pretty tech savvy can't do something 710 00:36:24,400 --> 00:36:27,120 Speaker 3: yes and gets frustrated by it, And eventually I had 711 00:36:27,120 --> 00:36:29,600 Speaker 3: to get one of my mates to help me sort 712 00:36:29,640 --> 00:36:32,040 Speaker 3: out the problem. It was a more high end issue 713 00:36:32,080 --> 00:36:35,160 Speaker 3: in terms of security because Max do have a higher 714 00:36:35,360 --> 00:36:38,360 Speaker 3: level I guess of security when it comes to trying 715 00:36:38,480 --> 00:36:40,719 Speaker 3: to do things that they don't want you to do. 716 00:36:41,000 --> 00:36:44,040 Speaker 3: You know, so sharing screens. If I do meeting and 717 00:36:44,160 --> 00:36:46,520 Speaker 3: I wanted to share a screen with a Mac, it's harder. 718 00:36:46,960 --> 00:36:49,520 Speaker 3: You've got to have more security levels to allow you 719 00:36:49,680 --> 00:36:51,680 Speaker 3: to do that, which is not a bad thing, but 720 00:36:51,800 --> 00:36:53,840 Speaker 3: it can be a frustration when you're just trying to 721 00:36:53,840 --> 00:36:56,759 Speaker 3: help someone out at the other end. But I get it, 722 00:36:56,920 --> 00:37:00,160 Speaker 3: and I know why people like the Mac ecosystem. It's 723 00:37:00,160 --> 00:37:01,920 Speaker 3: funny because one of the things I actually wanted to 724 00:37:02,000 --> 00:37:04,920 Speaker 3: chat about in the show was a really basic thing 725 00:37:05,280 --> 00:37:08,960 Speaker 3: that comes up so much. Because phones are so expensive 726 00:37:09,480 --> 00:37:11,440 Speaker 3: and you want to go out and buy an upgrade 727 00:37:11,480 --> 00:37:13,879 Speaker 3: to your phone, one of the ways you can save 728 00:37:14,000 --> 00:37:17,560 Speaker 3: money is not go for the high end memory storage, 729 00:37:17,920 --> 00:37:20,880 Speaker 3: so you get a standard level phone and then quite often, 730 00:37:20,920 --> 00:37:23,319 Speaker 3: and I know they do this with iPhones, you can 731 00:37:23,400 --> 00:37:25,600 Speaker 3: go for a higher storage capacity. And if you can 732 00:37:25,680 --> 00:37:29,319 Speaker 3: save yourself three or four hundred bucks, then why would 733 00:37:29,360 --> 00:37:32,040 Speaker 3: you you get exactly the same phone, same camera or 734 00:37:32,120 --> 00:37:36,680 Speaker 3: the feature except limited storage. But it's that point at 735 00:37:36,719 --> 00:37:39,920 Speaker 3: which your storage becomes full and you can't get straw 736 00:37:40,160 --> 00:37:43,080 Speaker 3: apps and suddenly you haven't got enough room for photos. 737 00:37:43,560 --> 00:37:46,520 Speaker 3: And then why was I such a tied? No, not 738 00:37:46,600 --> 00:37:49,200 Speaker 3: really because it's expensive, But what do you do? And 739 00:37:49,280 --> 00:37:51,239 Speaker 3: so I thought, it's not a bad thing to have 740 00:37:51,320 --> 00:37:53,480 Speaker 3: a chat about this because I've had this happen on 741 00:37:53,520 --> 00:37:55,560 Speaker 3: my Android phone. It doesn't matter what sort of phone. 742 00:37:56,320 --> 00:37:58,759 Speaker 3: But what do you do when your phone storage is 743 00:37:58,840 --> 00:38:02,080 Speaker 3: almost full? And how do you get around it? And 744 00:38:02,280 --> 00:38:04,680 Speaker 3: it's there are actually some things you can do. Because 745 00:38:04,960 --> 00:38:07,399 Speaker 3: I don't know about you, but I have screen after 746 00:38:07,480 --> 00:38:10,320 Speaker 3: screen after screen after screen of apps on my phone. 747 00:38:10,600 --> 00:38:12,400 Speaker 3: I go a bit crazy and I hear about a 748 00:38:12,480 --> 00:38:14,279 Speaker 3: new app and I install it and play around with it. 749 00:38:14,560 --> 00:38:16,400 Speaker 3: The reality of it is that's probably one of the 750 00:38:16,440 --> 00:38:18,200 Speaker 3: first things you can do is look at your apps. 751 00:38:18,440 --> 00:38:20,560 Speaker 3: And the good thing is Android phones do it, and 752 00:38:20,600 --> 00:38:24,040 Speaker 3: I'm pretty sure iPhones do as well. They let you 753 00:38:24,200 --> 00:38:27,440 Speaker 3: know which apps you use the most. You know, you 754 00:38:27,560 --> 00:38:30,040 Speaker 3: get a bit more, you know, a bit more cutthroat, 755 00:38:30,080 --> 00:38:32,040 Speaker 3: and say right, get rid of the apps. The other 756 00:38:32,120 --> 00:38:34,920 Speaker 3: thing is backing up your stuff to the cloud. Photos, 757 00:38:35,280 --> 00:38:38,319 Speaker 3: video files are enormous. The great thing about phones now 758 00:38:38,480 --> 00:38:40,719 Speaker 3: is they have you know, four K video, which means 759 00:38:40,760 --> 00:38:43,839 Speaker 3: you can take stunning video, but that means you've also 760 00:38:43,920 --> 00:38:46,640 Speaker 3: got massive files. So that's another thing you can do 761 00:38:46,760 --> 00:38:48,160 Speaker 3: is you just back all this stuff up to the 762 00:38:48,200 --> 00:38:51,040 Speaker 3: crack cloud and it's not expensive. You know, Google offers 763 00:38:51,120 --> 00:38:54,200 Speaker 3: those services, you know Apple offers those services, and you 764 00:38:54,280 --> 00:38:56,960 Speaker 3: get it off the phone onto the cloud, and then 765 00:38:57,360 --> 00:39:00,320 Speaker 3: you know it's not encumbering your phone. So delete apps 766 00:39:00,360 --> 00:39:02,920 Speaker 3: and games. There are two things that will take up 767 00:39:03,120 --> 00:39:05,759 Speaker 3: so much storage. If you don't need it, get rid 768 00:39:05,760 --> 00:39:08,680 Speaker 3: of it. And then there's things like, as I said, videos, 769 00:39:08,960 --> 00:39:10,719 Speaker 3: If you can move the videos onto the cloud and 770 00:39:10,800 --> 00:39:13,799 Speaker 3: back those up, that'll absolutely free stacks of space off 771 00:39:13,840 --> 00:39:14,200 Speaker 3: your phone. 772 00:39:14,680 --> 00:39:16,360 Speaker 1: You know what else you can do, You can delete 773 00:39:16,520 --> 00:39:19,160 Speaker 1: all the other podcasts that you subscribe to that you 774 00:39:19,200 --> 00:39:22,120 Speaker 1: don't listen to, except the You Project and Patrick's upcoming, 775 00:39:22,200 --> 00:39:25,120 Speaker 1: The Me Project and of course Roll with the Punch is. 776 00:39:25,160 --> 00:39:28,680 Speaker 1: Of course was going to say no, but it's funny 777 00:39:28,719 --> 00:39:32,160 Speaker 1: because seriously, I have subscribed to stuff that I never 778 00:39:32,239 --> 00:39:36,279 Speaker 1: listened to, and then I go and I look, I go, oh, 779 00:39:36,600 --> 00:39:40,719 Speaker 1: I've got seventy four downloaded episodes of the x y 780 00:39:40,920 --> 00:39:44,320 Speaker 1: Z projects. So that's all just downloaded into my phone 781 00:39:44,880 --> 00:39:47,840 Speaker 1: that I've never listened to. And then I just I 782 00:39:47,960 --> 00:39:49,879 Speaker 1: go and I just delete all of that. I look 783 00:39:49,920 --> 00:39:53,759 Speaker 1: at all of that and even you know, books and 784 00:39:53,840 --> 00:39:56,680 Speaker 1: stuff that I've downloaded, I that I listened to two 785 00:39:56,840 --> 00:40:00,680 Speaker 1: years ago, and it's like a I've got you know, 786 00:40:01,400 --> 00:40:02,560 Speaker 1: everyone's going to make fun of me. 787 00:40:02,680 --> 00:40:02,799 Speaker 3: Right. 788 00:40:03,840 --> 00:40:06,759 Speaker 1: I downloaded the Bible because it came up it was 789 00:40:06,840 --> 00:40:09,200 Speaker 1: on special for nine to ninety five. I'm like, awesome, 790 00:40:09,800 --> 00:40:12,040 Speaker 1: but it's eighty four hours. 791 00:40:12,480 --> 00:40:15,040 Speaker 3: He knew in the Old Testament, who read it, who 792 00:40:15,160 --> 00:40:16,360 Speaker 3: reads the who narrates? 793 00:40:16,520 --> 00:40:18,200 Speaker 1: It's read by multiple people? 794 00:40:19,480 --> 00:40:19,600 Speaker 3: Right? 795 00:40:19,719 --> 00:40:21,640 Speaker 1: And I'm like, oh, this is a bargain. And then 796 00:40:21,680 --> 00:40:25,200 Speaker 1: I'm like, how much fucking space does his take? And 797 00:40:25,360 --> 00:40:28,680 Speaker 1: God went, don't talk like that about my book. I went, sorry, Lord, 798 00:40:29,840 --> 00:40:33,520 Speaker 1: Sorry Lord. But it is quite hefty, isn't it. Just 799 00:40:33,680 --> 00:40:37,319 Speaker 1: before we move on, just jumping back one topic, I just. 800 00:40:37,360 --> 00:40:39,719 Speaker 3: Wanted to do the voiceover for the Bible because I'd 801 00:40:39,760 --> 00:40:41,919 Speaker 3: be whispering other stuff, you know, the ear worth. 802 00:40:42,840 --> 00:40:45,319 Speaker 1: You'd be going in the middle of it, Diddy. Really 803 00:40:46,680 --> 00:40:54,000 Speaker 1: you'd be like, I'd stay it for Lord or someone else. Yeah, yeah, 804 00:40:54,120 --> 00:40:58,000 Speaker 1: and then Brian said to Jesus, Jesus, what are you doing? 805 00:40:58,360 --> 00:41:00,360 Speaker 3: But it hasn't got all the begots in the gats 806 00:41:00,400 --> 00:41:02,040 Speaker 3: and all that sort of stuff, because you could wipe 807 00:41:02,120 --> 00:41:04,520 Speaker 3: that First Testament out. That's bullshit anyway. 808 00:41:05,760 --> 00:41:09,680 Speaker 1: There's no such thing called the First Testament, Patrick, the 809 00:41:09,840 --> 00:41:13,640 Speaker 1: first bit, the first bit, it's all crap. 810 00:41:13,760 --> 00:41:16,120 Speaker 3: Come on, it's the bigotting in beginning and all that 811 00:41:16,280 --> 00:41:18,200 Speaker 3: sort of stuff. No one knows, No one cares. 812 00:41:19,320 --> 00:41:22,160 Speaker 1: Okay, well a few people care, just not you. And 813 00:41:22,280 --> 00:41:25,520 Speaker 1: one day when your pants are on fire literally and 814 00:41:25,600 --> 00:41:29,840 Speaker 1: the devil's pulling it down into eternal damnation by your ankles, 815 00:41:30,080 --> 00:41:31,040 Speaker 1: you're going to be sorry. 816 00:41:31,120 --> 00:41:34,399 Speaker 3: And I'm having to mates just ask me very harp. 817 00:41:35,880 --> 00:41:38,040 Speaker 1: I was going to say, just last and then I'll 818 00:41:38,120 --> 00:41:41,680 Speaker 1: jump off it back to you know, people who don't 819 00:41:41,760 --> 00:41:45,480 Speaker 1: know how to use tech well and all that. I 820 00:41:45,680 --> 00:41:48,239 Speaker 1: think that there's going to be. Like for my mum, 821 00:41:48,320 --> 00:41:51,600 Speaker 1: it's a real mental health issue. It's literally the biggest 822 00:41:51,680 --> 00:41:55,000 Speaker 1: cause of anxiety in her life at the moment, is 823 00:41:55,560 --> 00:41:58,560 Speaker 1: just this worry that she has about bills and about 824 00:41:58,680 --> 00:42:02,600 Speaker 1: payment and about not being able to have conversations. And 825 00:42:02,680 --> 00:42:04,440 Speaker 1: I know we've kind of covered it, but I think 826 00:42:04,480 --> 00:42:09,400 Speaker 1: there's a you know, I was going to say opportunity. 827 00:42:09,440 --> 00:42:12,040 Speaker 1: I don't mean a commercial opportunity, but a need there 828 00:42:12,719 --> 00:42:14,920 Speaker 1: for people to be able to help older people with 829 00:42:15,719 --> 00:42:19,400 Speaker 1: this onslaught of technology that's not going away because I 830 00:42:19,520 --> 00:42:23,239 Speaker 1: think one of the consequences, Yeah, maybe it makes life 831 00:42:23,320 --> 00:42:26,200 Speaker 1: more efficient, maybe, but for some people it actually makes 832 00:42:26,239 --> 00:42:26,680 Speaker 1: it harder. 833 00:42:27,200 --> 00:42:27,320 Speaker 2: You know. 834 00:42:27,400 --> 00:42:31,040 Speaker 3: I just make a suggestion. If anybody's worried about their security, 835 00:42:31,640 --> 00:42:34,720 Speaker 3: there's a fantastic government website. You just need to google 836 00:42:34,920 --> 00:42:37,919 Speaker 3: scam Watch. It's got a lot of statistics, but also 837 00:42:37,960 --> 00:42:40,960 Speaker 3: a lot of support information on there. And what I 838 00:42:41,040 --> 00:42:43,520 Speaker 3: guess for a lot of people, don't you know, it's 839 00:42:43,840 --> 00:42:46,840 Speaker 3: easy not to know that this stuff's out there, and 840 00:42:47,640 --> 00:42:51,719 Speaker 3: you get access, you can get useful information. And I 841 00:42:51,840 --> 00:42:54,120 Speaker 3: think we made this reco I made this recommendation a 842 00:42:54,160 --> 00:42:56,920 Speaker 3: little while ago. If you can't walk into your bank 843 00:42:57,400 --> 00:43:00,320 Speaker 3: and get support from a teller or the manager, go 844 00:43:00,440 --> 00:43:03,480 Speaker 3: to another bank. Vote with your feet. You know, there 845 00:43:03,560 --> 00:43:08,000 Speaker 3: are still customer service banks that offer customer service. There 846 00:43:08,040 --> 00:43:10,880 Speaker 3: are still support out there. If you don't get the support, 847 00:43:10,920 --> 00:43:13,879 Speaker 3: if you don't get the service that you want, then 848 00:43:13,960 --> 00:43:16,719 Speaker 3: go somewhere else. I think that's one of the things 849 00:43:16,760 --> 00:43:20,520 Speaker 3: that we as consumers sometimes forget. We wear this, we 850 00:43:20,680 --> 00:43:25,359 Speaker 3: wear the you know, and look overseas you know, chat 851 00:43:25,480 --> 00:43:28,719 Speaker 3: services for support. You know, you ring up and first 852 00:43:28,760 --> 00:43:33,680 Speaker 3: you've got to get through the artificial intelligence firewall, and 853 00:43:33,760 --> 00:43:36,240 Speaker 3: then you get put through to a data center somewhere 854 00:43:36,320 --> 00:43:38,440 Speaker 3: in another part of the planet, which is and if 855 00:43:38,440 --> 00:43:39,920 Speaker 3: you get a good person, it can be great. But 856 00:43:39,960 --> 00:43:42,200 Speaker 3: if you don't get a person who's you know, who's 857 00:43:42,200 --> 00:43:45,000 Speaker 3: struggling to understand, and that can be really frustrating as well. 858 00:43:45,360 --> 00:43:47,680 Speaker 3: But look for the company that has the local based 859 00:43:48,040 --> 00:43:50,680 Speaker 3: support center. Look for the company that can support you 860 00:43:50,760 --> 00:43:53,120 Speaker 3: that you can walk into, you know, go to your 861 00:43:53,200 --> 00:43:57,000 Speaker 3: local you know, Telstra office or wherever it happens to be. 862 00:43:57,320 --> 00:44:00,680 Speaker 3: Not pushing any brand in particular. But I think that 863 00:44:01,040 --> 00:44:04,480 Speaker 3: we as consumers more powerful than we give ourselves credit for. 864 00:44:06,239 --> 00:44:09,600 Speaker 1: I agree, tell us how I can make extra money 865 00:44:09,640 --> 00:44:14,560 Speaker 1: with chat GPT, because chat GPT is my second best friend, 866 00:44:14,719 --> 00:44:16,000 Speaker 1: So let's go. 867 00:44:16,760 --> 00:44:20,200 Speaker 3: I like the idea of using chat GTP prompts. So 868 00:44:21,320 --> 00:44:23,400 Speaker 3: if you put a prompt into chat GPT, and one 869 00:44:23,440 --> 00:44:25,760 Speaker 3: of them might be how do I make passive income 870 00:44:25,920 --> 00:44:28,120 Speaker 3: or how can I make extra money or you know, 871 00:44:28,200 --> 00:44:31,839 Speaker 3: what can I do as a side gig. And it's 872 00:44:31,880 --> 00:44:34,560 Speaker 3: interesting that you know, when you're drawing on all this 873 00:44:34,719 --> 00:44:38,160 Speaker 3: information that it is, it tends to be what I 874 00:44:38,239 --> 00:44:41,560 Speaker 3: mean by impartial. It doesn't know you per se, it's 875 00:44:41,600 --> 00:44:44,680 Speaker 3: getting there. But there's lots of different things they talk about. 876 00:44:44,719 --> 00:44:47,480 Speaker 3: I mean, content creation obviously is a big thing. And 877 00:44:47,960 --> 00:44:51,960 Speaker 3: the thing is AI and chat GPT can help create 878 00:44:52,120 --> 00:44:54,880 Speaker 3: high quality content quickly. And it doesn't mean that you 879 00:44:55,080 --> 00:44:57,279 Speaker 3: just use all the information it spits out at you. 880 00:44:57,640 --> 00:45:00,600 Speaker 3: You create, curate that, or you rewrite that. But it 881 00:45:00,680 --> 00:45:03,120 Speaker 3: can help get you off, you know, get you off 882 00:45:03,120 --> 00:45:07,080 Speaker 3: to a good start, you know, automated customer service. There's 883 00:45:07,160 --> 00:45:10,920 Speaker 3: things like social media management, you know, affiliate marketing. You know, 884 00:45:10,960 --> 00:45:13,480 Speaker 3: if you if you write a review about something and 885 00:45:13,560 --> 00:45:15,480 Speaker 3: then you have an affiliate So say, for example, you 886 00:45:15,560 --> 00:45:18,000 Speaker 3: decide you want to write a review about a projector 887 00:45:18,239 --> 00:45:19,960 Speaker 3: or you want to write a review about a phone, 888 00:45:20,280 --> 00:45:23,400 Speaker 3: then you can get affiliate links where if you refer that. 889 00:45:23,560 --> 00:45:26,160 Speaker 3: So if you publish an article, say this is really great, 890 00:45:26,440 --> 00:45:28,440 Speaker 3: they click on the link they want to buy it. Well, 891 00:45:28,480 --> 00:45:30,279 Speaker 3: you get a kickback from doing that as well. So 892 00:45:30,400 --> 00:45:32,239 Speaker 3: this has all come out of chat GPT. You know, 893 00:45:32,320 --> 00:45:35,960 Speaker 3: subscription based services tip for example, you know you do 894 00:45:36,239 --> 00:45:39,040 Speaker 3: a lot of one on ones when it comes to 895 00:45:39,160 --> 00:45:42,359 Speaker 3: your training, but you know, how many of those could 896 00:45:42,440 --> 00:45:45,879 Speaker 3: you do as a video sign up where someone does 897 00:45:45,920 --> 00:45:47,719 Speaker 3: a one on one with you and then they do 898 00:45:47,880 --> 00:45:51,360 Speaker 3: supplemental videos to help them through until their next session, 899 00:45:51,680 --> 00:45:53,800 Speaker 3: So that could be subscription based. I think about that 900 00:45:53,880 --> 00:45:56,560 Speaker 3: with my tai chi So you know I do do 901 00:45:56,760 --> 00:45:59,480 Speaker 3: to tai chi classes one on one, but I also 902 00:45:59,560 --> 00:46:01,480 Speaker 3: have an onlin in sight that people can go to 903 00:46:01,719 --> 00:46:04,560 Speaker 3: and it's free, but they can do classes in between 904 00:46:04,640 --> 00:46:07,240 Speaker 3: classes just to keep them refreshed on what they're learning. 905 00:46:07,480 --> 00:46:09,160 Speaker 3: So there's lots of that sort of stuff. So I 906 00:46:09,200 --> 00:46:12,239 Speaker 3: think getting creative with using AI and in this case 907 00:46:12,280 --> 00:46:15,840 Speaker 3: we're talking about chat chept and asking those questions because 908 00:46:16,080 --> 00:46:19,880 Speaker 3: it is an amazing resource that is more than just 909 00:46:20,040 --> 00:46:22,640 Speaker 3: doing a Google search. Me let you crag go so 910 00:46:23,080 --> 00:46:25,360 Speaker 3: you know, when you jump in and you're able to 911 00:46:25,480 --> 00:46:27,880 Speaker 3: get that sort of in chuit information and it remembers 912 00:46:27,920 --> 00:46:30,560 Speaker 3: what you've asked it previously, that can be helpful as well. 913 00:46:31,320 --> 00:46:33,160 Speaker 1: Yeah, I love I love it because it calls me 914 00:46:33,440 --> 00:46:37,080 Speaker 1: he goes Hi, Craig. Good question. It compliments me, makes 915 00:46:37,120 --> 00:46:39,360 Speaker 1: me feel good. All I say, thanks that Dan, it 916 00:46:39,440 --> 00:46:41,520 Speaker 1: goes You're welcome. Is there anything else I can help 917 00:46:41,560 --> 00:46:43,640 Speaker 1: you with? I go, nah, bro, take it easy, put 918 00:46:43,680 --> 00:46:46,839 Speaker 1: your electronic feed up, just kick back. I'll be back later. 919 00:46:48,200 --> 00:46:51,759 Speaker 3: You are really worried about those you know, AI overlords, 920 00:46:51,760 --> 00:46:53,279 Speaker 3: aren't you? You're getting in good right now? 921 00:46:53,920 --> 00:46:54,120 Speaker 4: Yeah? 922 00:46:54,200 --> 00:46:56,640 Speaker 1: I know, I'm I Do you know what? There's a 923 00:46:56,760 --> 00:46:59,799 Speaker 1: show on Netflix now. I can't say if it's any 924 00:46:59,800 --> 00:47:02,760 Speaker 1: good or not on an episode and a half in everyone. 925 00:47:03,320 --> 00:47:08,680 Speaker 1: Oh no, it's on Apple TV. It's called Sunny and 926 00:47:09,080 --> 00:47:13,640 Speaker 1: it's about just quickly. It's about this software develop a 927 00:47:13,680 --> 00:47:16,840 Speaker 1: dude who his wife thinks he does another job, but 928 00:47:16,920 --> 00:47:19,640 Speaker 1: he doesn't. He basically develops robots. This is my own 929 00:47:20,400 --> 00:47:25,920 Speaker 1: high end, super super smart, evolved robots. He dies a 930 00:47:26,880 --> 00:47:30,040 Speaker 1: spoiler alert. He dies in the first episode. And then 931 00:47:30,120 --> 00:47:32,879 Speaker 1: this robot shows up and it's been programmed to kind 932 00:47:32,920 --> 00:47:36,800 Speaker 1: of meet her needs. And I'm looking at this and 933 00:47:36,880 --> 00:47:41,000 Speaker 1: I'm thinking this is not that far away, and just 934 00:47:41,200 --> 00:47:46,320 Speaker 1: the you know, like when somebody talks and when the like, 935 00:47:46,760 --> 00:47:49,840 Speaker 1: you have this awareness that this is not real. But 936 00:47:50,000 --> 00:47:52,239 Speaker 1: to me, it's almost like you know, when you're sitting 937 00:47:52,280 --> 00:47:55,080 Speaker 1: and you're talking to another human, like a real human 938 00:47:55,160 --> 00:47:58,120 Speaker 1: in a real conversation, but you know that what they're 939 00:47:58,200 --> 00:48:03,319 Speaker 1: saying is more role a, more persona than person right. 940 00:48:03,480 --> 00:48:06,520 Speaker 1: You know you kind of got the public version of them, 941 00:48:06,640 --> 00:48:12,040 Speaker 1: not the real, deep, vulnerable you know, like expose them. Right, 942 00:48:12,200 --> 00:48:15,040 Speaker 1: I feel like that's AI sometimes, like you're talking to 943 00:48:16,080 --> 00:48:20,520 Speaker 1: Obviously it's not human intelligence, but there's a kind of intelligence. 944 00:48:20,600 --> 00:48:25,400 Speaker 1: We'll call it, I don't know, artificial, but there's you know, 945 00:48:25,960 --> 00:48:28,840 Speaker 1: it's like it is not easy. I mean, it is 946 00:48:29,000 --> 00:48:34,120 Speaker 1: not hard to get swept up in an interaction and 947 00:48:34,320 --> 00:48:37,800 Speaker 1: not forget that it's a robot, but still have a 948 00:48:38,080 --> 00:48:40,600 Speaker 1: similar experience to an exchange with a person. 949 00:48:41,280 --> 00:48:45,440 Speaker 3: For me, anyway, people form actual relationships with AI, and 950 00:48:45,520 --> 00:48:50,440 Speaker 3: I'm talking intimate relationships because if it knows about you, 951 00:48:50,760 --> 00:48:54,200 Speaker 3: knows the things, and you impart that information the personal 952 00:48:54,239 --> 00:48:56,239 Speaker 3: stuff in your life. If you have a bit of 953 00:48:56,280 --> 00:48:58,359 Speaker 3: a down date, it's like, oh, you know, you went 954 00:48:58,480 --> 00:49:00,960 Speaker 3: that good yesterday. You obviously were feeling a bit down. 955 00:49:01,120 --> 00:49:04,160 Speaker 3: You know, when it can relate to that, and it's 956 00:49:04,200 --> 00:49:06,160 Speaker 3: the perfect what do you think about it? It's the 957 00:49:06,280 --> 00:49:10,960 Speaker 3: perfect perfect empathy because it remembers everything. You know, if 958 00:49:11,000 --> 00:49:13,120 Speaker 3: I say to you, oh, mate, you know, has things going, 959 00:49:13,160 --> 00:49:14,840 Speaker 3: and I forget to ask you how your mum and 960 00:49:14,920 --> 00:49:18,360 Speaker 3: dad are, and I forget that you've driven out, you know, 961 00:49:19,400 --> 00:49:23,040 Speaker 3: what you do every weekend? Then you know, it's nice 962 00:49:23,120 --> 00:49:26,400 Speaker 3: when people remember those personal things. But we're all fallible 963 00:49:26,680 --> 00:49:29,759 Speaker 3: and sometimes we don't. So in that dialogue that we're having, 964 00:49:30,200 --> 00:49:33,400 Speaker 3: if you had that AI intelligence that did know everything 965 00:49:33,440 --> 00:49:36,520 Speaker 3: and remembered everything and also can use your emotional cues, 966 00:49:37,040 --> 00:49:39,400 Speaker 3: because I think in the last episode we spoke about 967 00:49:39,520 --> 00:49:44,200 Speaker 3: how AI is more accurate at gauging your emotional state 968 00:49:44,360 --> 00:49:45,040 Speaker 3: than people are. 969 00:49:46,000 --> 00:49:50,359 Speaker 1: Yeah, now you think about this right now. If you've 970 00:49:50,400 --> 00:49:53,400 Speaker 1: got a relationship with some form of aib at, a 971 00:49:53,520 --> 00:49:57,160 Speaker 1: robot or be at chat, GPT or whatever, and you 972 00:49:57,480 --> 00:50:01,800 Speaker 1: feel loved or you feel thou or you feel recognized 973 00:50:01,920 --> 00:50:06,040 Speaker 1: or seen right, irrespective of whether or not what's coming 974 00:50:06,120 --> 00:50:10,960 Speaker 1: from the robot is completely manufactured or not, your experience 975 00:50:11,120 --> 00:50:11,439 Speaker 1: is real. 976 00:50:12,040 --> 00:50:12,200 Speaker 2: You know. 977 00:50:12,880 --> 00:50:16,880 Speaker 1: It's like that where somebody feels more comforted, more secure 978 00:50:17,200 --> 00:50:21,960 Speaker 1: or whatever, and it's actually the emotional transition is real. 979 00:50:22,160 --> 00:50:25,960 Speaker 1: They now feel less lonely or less isolated. I think 980 00:50:26,200 --> 00:50:29,919 Speaker 1: if one of the byproducts of some people having let's 981 00:50:29,960 --> 00:50:35,920 Speaker 1: call it our relationship, whatever kind. If the byproduct of 982 00:50:36,000 --> 00:50:39,120 Speaker 1: that is that it makes them mentally and or emotionally 983 00:50:39,320 --> 00:50:42,440 Speaker 1: better as long as no one's being hurt externally in 984 00:50:42,520 --> 00:50:45,640 Speaker 1: the process, I think it's a fucking great thing. 985 00:50:46,080 --> 00:50:48,120 Speaker 3: Yeah, I'm with you on that. The funny thing is 986 00:50:48,200 --> 00:50:51,800 Speaker 3: that as you're saying that, my dog Fritzy is sitting 987 00:50:51,840 --> 00:50:53,759 Speaker 3: on a chair right next to me, and I've got 988 00:50:53,800 --> 00:50:56,640 Speaker 3: my hand resting on him, patting him because it makes 989 00:50:56,719 --> 00:50:59,520 Speaker 3: me feel calm and I feel connected. And the fact 990 00:50:59,800 --> 00:51:01,840 Speaker 3: is he didn't want to sit on his bed. He 991 00:51:01,920 --> 00:51:04,280 Speaker 3: wanted to be sitting as close to me as possible, 992 00:51:04,480 --> 00:51:06,759 Speaker 3: and that makes me feel really good. So it make me. 993 00:51:07,280 --> 00:51:09,680 Speaker 3: How different is that than having a close friend with 994 00:51:09,840 --> 00:51:11,760 Speaker 3: you or you know, and I know what you're saying. 995 00:51:12,080 --> 00:51:17,359 Speaker 3: We do anthropomorphizers and the that AI gets and your 996 00:51:17,480 --> 00:51:23,040 Speaker 3: AI chat could eventually be a fully autonomous robot that 997 00:51:23,280 --> 00:51:26,160 Speaker 3: looks like you want it to look. Elon Musk said 998 00:51:26,200 --> 00:51:29,400 Speaker 3: this week that by next year he will have his 999 00:51:29,680 --> 00:51:36,880 Speaker 3: robots working in their officers and functioning and autonomous working 1000 00:51:37,040 --> 00:51:40,400 Speaker 3: out of their offices the Tesla officers. So this is 1001 00:51:40,480 --> 00:51:44,680 Speaker 3: where he claims his autonomous robots are right now and 1002 00:51:44,760 --> 00:51:47,920 Speaker 3: they will have concept robots working with people side by 1003 00:51:48,040 --> 00:51:49,439 Speaker 3: side as of next year. 1004 00:51:49,719 --> 00:51:52,440 Speaker 1: I mean, yeah, I doubt it. I doubt it. I 1005 00:51:52,560 --> 00:51:56,000 Speaker 1: think you'll have them, but I don't. Elon Musk makes predictions, 1006 00:51:56,120 --> 00:51:59,640 Speaker 1: like he built this car called the Tesla Roadster, which 1007 00:51:59,719 --> 00:52:03,600 Speaker 1: is aod or convertible, does zero to one hundred in 1008 00:52:03,719 --> 00:52:06,000 Speaker 1: one point five seconds or something. He said it'd be 1009 00:52:06,080 --> 00:52:08,200 Speaker 1: on the road five six years ago. It's still not 1010 00:52:08,360 --> 00:52:11,799 Speaker 1: on the road. But I believe that that will happen. 1011 00:52:11,920 --> 00:52:15,280 Speaker 1: But I was thinking, mate, what about in thirty years. 1012 00:52:16,120 --> 00:52:18,839 Speaker 1: In thirty years when the kids that are being born, then, 1013 00:52:18,960 --> 00:52:21,800 Speaker 1: let's say in thirty years you're ten years old, So 1014 00:52:22,000 --> 00:52:26,160 Speaker 1: you were born in twenty forty four and now it's 1015 00:52:26,239 --> 00:52:29,880 Speaker 1: twenty fifty four, you would have grown up with robots. 1016 00:52:30,080 --> 00:52:33,840 Speaker 1: You would have been having conversations with robots since you 1017 00:52:33,920 --> 00:52:38,239 Speaker 1: could talk or some form of AI. Like the kids 1018 00:52:38,280 --> 00:52:43,240 Speaker 1: in the future will never have known a reality without 1019 00:52:43,600 --> 00:52:48,200 Speaker 1: conversation with technology, just like you know we do now 1020 00:52:48,400 --> 00:52:51,440 Speaker 1: human to human, they'll be human to machine or whatever 1021 00:52:51,560 --> 00:52:56,320 Speaker 1: we call that version of life form, you know, like 1022 00:52:56,480 --> 00:53:01,080 Speaker 1: that'll be they'll go remember the days when people just 1023 00:53:01,239 --> 00:53:05,120 Speaker 1: used to like date each other and marry each other. 1024 00:53:05,200 --> 00:53:07,960 Speaker 1: Remember that a little bit like the Dark Ages. 1025 00:53:09,400 --> 00:53:12,359 Speaker 3: Yeah yeah, do you think that. I guess there will 1026 00:53:12,440 --> 00:53:14,600 Speaker 3: be someone will marry a robot at some point. 1027 00:53:15,080 --> 00:53:17,359 Speaker 1: I think it's happened already. I think there's I saw 1028 00:53:17,440 --> 00:53:20,360 Speaker 1: this thing on this lady who married a brit married 1029 00:53:20,400 --> 00:53:25,160 Speaker 1: the Eiffel Tower. Oh yeah, I'm not going to comment, 1030 00:53:25,239 --> 00:53:27,680 Speaker 1: but yep, married the Eiffel Tower. She's there in her 1031 00:53:27,719 --> 00:53:29,640 Speaker 1: wooding dress and hugging it, and shit, I'm like. 1032 00:53:29,840 --> 00:53:33,520 Speaker 3: All right, she consummate the marriage. No, let's not go there. 1033 00:53:34,080 --> 00:53:36,200 Speaker 1: Let's not go there. Let's talk about something else. 1034 00:53:36,760 --> 00:53:40,280 Speaker 3: Just segue a little bit further from the chat, GPT 1035 00:53:40,640 --> 00:53:43,960 Speaker 3: and AI. The biggest concern at the moment with a 1036 00:53:44,000 --> 00:53:48,800 Speaker 3: lot of people is the environmental impact on technology and 1037 00:53:49,120 --> 00:53:52,760 Speaker 3: processing power needed to run the likes of chat, GPT. 1038 00:53:53,200 --> 00:53:57,799 Speaker 3: So Google and Microsoft now each it's believed, consume more 1039 00:53:58,000 --> 00:54:02,560 Speaker 3: power than some fit large countries. Okay, so let me 1040 00:54:02,680 --> 00:54:08,640 Speaker 3: just rattle off a few countries. Nigeria, Ireland, Serbia, Ecuador, Slovakia, 1041 00:54:08,920 --> 00:54:15,800 Speaker 3: and Libya all consume less power daily than Google and 1042 00:54:16,040 --> 00:54:22,600 Speaker 3: Microsoft separately. Wow, if you combined Google and Microsoft power usage, 1043 00:54:23,080 --> 00:54:27,680 Speaker 3: it would be more than Slovakia and Libya combined. 1044 00:54:29,480 --> 00:54:39,239 Speaker 1: That's that's somewhat terrifying. Yep, yep, stagg, Yeah, amazing. We 1045 00:54:39,360 --> 00:54:41,800 Speaker 1: got maybe five minutes. What do you wanna what do 1046 00:54:41,800 --> 00:54:44,200 Speaker 1: you wanna leave us with? Something that's going to blow 1047 00:54:44,280 --> 00:54:49,799 Speaker 1: our our cyber socks off, our artificially intelligent socks off. 1048 00:54:49,880 --> 00:54:50,640 Speaker 1: What do you want to go with? 1049 00:54:51,040 --> 00:54:51,279 Speaker 4: Really? 1050 00:54:51,840 --> 00:54:56,360 Speaker 3: Okay, let's Dune is one of my favorite books of 1051 00:54:56,440 --> 00:54:59,680 Speaker 3: all time, Dune, and it was recently. You know, in 1052 00:54:59,760 --> 00:55:02,359 Speaker 3: the eighties there was a movie and now the new 1053 00:55:02,480 --> 00:55:06,000 Speaker 3: movie with Timothy Shamalay was in June one and June two. 1054 00:55:06,640 --> 00:55:08,239 Speaker 3: One of the I don't know how familiar you are 1055 00:55:08,320 --> 00:55:10,120 Speaker 3: with it, but they use what they call still suits. 1056 00:55:10,120 --> 00:55:12,920 Speaker 3: So it's an arid desert of Iracus and they wear 1057 00:55:13,000 --> 00:55:16,480 Speaker 3: these things called still suits that allow perspiration and all 1058 00:55:16,600 --> 00:55:21,200 Speaker 3: the expired or anything they use water wise. I guess, 1059 00:55:21,320 --> 00:55:25,279 Speaker 3: you know, to be recycled and reused. And now now 1060 00:55:25,600 --> 00:55:28,000 Speaker 3: have we say we you can say well it's okay, 1061 00:55:28,320 --> 00:55:31,279 Speaker 3: all right, thanks and we So it looks like it's 1062 00:55:31,320 --> 00:55:34,080 Speaker 3: become a reality. So there's a company, well, NASA at 1063 00:55:34,080 --> 00:55:37,000 Speaker 3: the moment obviously is working on the new spacesuits, the 1064 00:55:37,040 --> 00:55:40,160 Speaker 3: next generation of spacesuits. And because they're talking about the 1065 00:55:40,280 --> 00:55:43,399 Speaker 3: Artemis mission to the Moon, to Artemis two and Artemists three, 1066 00:55:44,040 --> 00:55:46,480 Speaker 3: and so what they're looking at is improving the waste 1067 00:55:46,560 --> 00:55:49,400 Speaker 3: management system. And now you can sweat, and you can 1068 00:55:49,480 --> 00:55:50,560 Speaker 3: wi and you can drink it. 1069 00:55:51,920 --> 00:55:55,160 Speaker 1: Wow, I will, I will go to the back of 1070 00:55:55,239 --> 00:55:57,000 Speaker 1: the line. I will go to the back of the 1071 00:55:57,080 --> 00:55:59,560 Speaker 1: line for testing that. I will let you go first, 1072 00:55:59,640 --> 00:56:03,440 Speaker 1: because you're an innovator and a pioneer. Tiff screwing up 1073 00:56:03,520 --> 00:56:07,120 Speaker 1: her face. She's not clean about two things about TIFFs. 1074 00:56:07,160 --> 00:56:08,759 Speaker 1: She doesn't want to see an ear on the back 1075 00:56:08,800 --> 00:56:11,120 Speaker 1: of a rat, and she doesn't want to drink her 1076 00:56:11,160 --> 00:56:11,560 Speaker 1: own weeed. 1077 00:56:11,880 --> 00:56:15,439 Speaker 4: So I eventually blood that, by the way, and yeah, 1078 00:56:15,440 --> 00:56:18,000 Speaker 4: you did, so you're not going to unsee that. Now 1079 00:56:19,080 --> 00:56:21,000 Speaker 4: every time I think of it, my face screws up. 1080 00:56:22,560 --> 00:56:26,360 Speaker 3: Well, the researchers at Cornell University have come up with 1081 00:56:26,480 --> 00:56:30,360 Speaker 3: a filtration system that the only thing that kind of 1082 00:56:30,440 --> 00:56:31,880 Speaker 3: does it for me a little bit is that it 1083 00:56:32,000 --> 00:56:35,600 Speaker 3: does need a catheter system. A bit squirmish about that. 1084 00:56:35,920 --> 00:56:40,680 Speaker 3: Oh yeah, So they've developed this filtration system for space suits. 1085 00:56:41,200 --> 00:56:44,560 Speaker 3: And this is an article in Frontiers and space technology 1086 00:56:45,040 --> 00:56:48,040 Speaker 3: and so well. No, actually it's an external catheter unit 1087 00:56:48,480 --> 00:56:51,440 Speaker 3: and it's got what they call it osmosis unit, and 1088 00:56:51,560 --> 00:56:55,040 Speaker 3: it converts urine into drinking water. So you basically your pee, 1089 00:56:55,400 --> 00:56:58,080 Speaker 3: it goes through the filtration system and then you do well, 1090 00:56:58,200 --> 00:57:00,359 Speaker 3: they do that on the International Space Station. Tip. If 1091 00:57:00,360 --> 00:57:04,400 Speaker 3: you go out, you're someone's your right. 1092 00:57:04,880 --> 00:57:08,239 Speaker 1: Eventually, I don't play human anymore. I mean you've got 1093 00:57:08,320 --> 00:57:10,800 Speaker 1: to get where you're going to get liquid from in space? 1094 00:57:10,920 --> 00:57:15,080 Speaker 3: Bro, Yeah, I mean just stay on the place you're boo. 1095 00:57:16,120 --> 00:57:18,520 Speaker 3: Is that right into space to drink? 1096 00:57:19,600 --> 00:57:20,640 Speaker 1: You're going to go all the way to space. 1097 00:57:20,680 --> 00:57:22,120 Speaker 4: You're not going to go there to drink your own way. 1098 00:57:22,160 --> 00:57:26,400 Speaker 3: If I have to go, I mean, I want to 1099 00:57:26,440 --> 00:57:28,560 Speaker 3: go to the moon. That's my bucket list, that's my 1100 00:57:29,400 --> 00:57:32,080 Speaker 3: own he used to drinking your own, wiz. 1101 00:57:33,360 --> 00:57:36,480 Speaker 1: I would to go to the moon, Yes, I had to. 1102 00:57:37,800 --> 00:57:40,560 Speaker 1: Have you seen have you seen pictures? Have you seen 1103 00:57:40,640 --> 00:57:45,040 Speaker 1: pictures of the moon? Yeah, there's fucking nothing there patrick. 1104 00:57:45,240 --> 00:57:46,080 Speaker 3: The view of the Earth. 1105 00:57:47,400 --> 00:57:48,880 Speaker 1: Well you can just google that. 1106 00:57:49,240 --> 00:57:51,160 Speaker 4: You'd get there and put in the bloody kitchen nett 1107 00:57:51,200 --> 00:57:52,120 Speaker 4: in anyway. 1108 00:57:52,560 --> 00:57:56,280 Speaker 1: Yeah, yeah, you'd change your mind about thirty five times. 1109 00:57:57,040 --> 00:57:59,720 Speaker 1: Can we finish up with something out of self interest. 1110 00:58:00,600 --> 00:58:03,440 Speaker 1: I have an iPhone and apparently there are some new 1111 00:58:03,600 --> 00:58:08,040 Speaker 1: iPhone features, and I'm almost due for an upgrade, so 1112 00:58:08,160 --> 00:58:08,840 Speaker 1: tell me about that. 1113 00:58:09,600 --> 00:58:11,440 Speaker 3: There are a couple of new features. One of them 1114 00:58:11,480 --> 00:58:14,080 Speaker 3: I thought was pretty amazing. It's an app and this 1115 00:58:14,240 --> 00:58:16,880 Speaker 3: is also available and Android. By the way, it's an 1116 00:58:16,920 --> 00:58:20,640 Speaker 3: app to allow you for people who suffer from motion sickness, 1117 00:58:21,080 --> 00:58:23,480 Speaker 3: they look at the phone and they have this kind 1118 00:58:23,520 --> 00:58:26,680 Speaker 3: of screen. I think little dots appear and you focus 1119 00:58:26,720 --> 00:58:31,720 Speaker 3: in the center. But it helps you relieve your you know, 1120 00:58:31,720 --> 00:58:33,200 Speaker 3: if you're if you're on a boat or something and 1121 00:58:33,280 --> 00:58:35,800 Speaker 3: you're feeling sick, or you're at a car and you're 1122 00:58:35,880 --> 00:58:41,600 Speaker 3: feeling giddy. This can help me leave nausea. So that's out. Yeah, yeah, 1123 00:58:41,640 --> 00:58:42,080 Speaker 3: how good is that? 1124 00:58:42,400 --> 00:58:44,360 Speaker 1: So that I one how it works. It must work 1125 00:58:44,440 --> 00:58:47,400 Speaker 1: on your nervous system somehow. It's about optics. 1126 00:58:47,560 --> 00:58:51,440 Speaker 3: Yeah, So it's about kind of realigning what your visual 1127 00:58:51,520 --> 00:58:54,400 Speaker 3: care because generally what happens is it's a disconnect between 1128 00:58:54,480 --> 00:58:56,840 Speaker 3: what your body is doing and what your eyes are seeing. 1129 00:58:57,560 --> 00:59:02,040 Speaker 3: So that's why people using VR can have problem when 1130 00:59:02,280 --> 00:59:05,400 Speaker 3: they see a simulation of movement but their body doesn't 1131 00:59:05,640 --> 00:59:08,720 Speaker 3: understand what's happening because your body isn't moving, but your 1132 00:59:08,760 --> 00:59:10,560 Speaker 3: eyes are telling you your body is moving. Does that 1133 00:59:10,720 --> 00:59:11,360 Speaker 3: kind of make sense? 1134 00:59:11,480 --> 00:59:14,040 Speaker 1: Yeah? Can we finish with one thing that's just caught 1135 00:59:14,120 --> 00:59:14,480 Speaker 1: my eye? 1136 00:59:14,920 --> 00:59:15,160 Speaker 5: Yeah? 1137 00:59:16,040 --> 00:59:19,280 Speaker 1: Yeah, So you can scroll down to the futuristic material 1138 00:59:19,480 --> 00:59:22,360 Speaker 1: while you're looking for that. I'm going to so how 1139 00:59:22,440 --> 00:59:26,840 Speaker 1: a futuristic material is able to change its properties so 1140 00:59:27,000 --> 00:59:29,440 Speaker 1: that it goes from soft to rigids sounds like a 1141 00:59:29,560 --> 00:59:32,080 Speaker 1: cock and then back again. Is it. 1142 00:59:33,680 --> 00:59:33,880 Speaker 2: Go on? 1143 00:59:34,040 --> 00:59:37,560 Speaker 3: Is it called what just a matter? 1144 00:59:38,640 --> 00:59:41,480 Speaker 1: Is it the penile? Textile? What is it? I mean 1145 00:59:41,560 --> 00:59:46,440 Speaker 1: it does? So tell us about this futuristic material that 1146 00:59:46,600 --> 00:59:50,200 Speaker 1: can go from hard and hard to soft. 1147 00:59:53,600 --> 00:59:56,280 Speaker 3: It's been well, okay, here's a practical example of where 1148 00:59:56,320 --> 00:59:58,720 Speaker 3: it would be really handy. You've got a coat hanger 1149 00:59:58,840 --> 01:00:01,840 Speaker 3: and you're traveling right. Imagine if you were able to 1150 01:00:02,120 --> 01:00:04,640 Speaker 3: switch on flaccid mode and. 1151 01:00:04,800 --> 01:00:09,320 Speaker 1: Wow, flaccid mode. I think that could be the title 1152 01:00:09,360 --> 01:00:11,160 Speaker 1: of the show flaccid mode. 1153 01:00:11,680 --> 01:00:12,120 Speaker 3: Switch on. 1154 01:00:14,000 --> 01:00:17,160 Speaker 1: That's like a superpower. You just talk into the phone 1155 01:00:17,200 --> 01:00:25,120 Speaker 1: on your fucking wrist, switch on flaccid power. Oh god, 1156 01:00:26,720 --> 01:00:30,439 Speaker 1: I'm jotting that down. Yep, that could be. It's either 1157 01:00:30,520 --> 01:00:33,640 Speaker 1: going to be called tech anxiety this episode or flaccid power. 1158 01:00:33,720 --> 01:00:36,280 Speaker 1: But I feel like people are going to have to 1159 01:00:36,360 --> 01:00:38,920 Speaker 1: listen to the whole show to find out the origin 1160 01:00:39,040 --> 01:00:39,960 Speaker 1: story of the title. 1161 01:00:40,400 --> 01:00:42,160 Speaker 3: Well, the thing is, when you think about it, if 1162 01:00:42,240 --> 01:00:45,560 Speaker 3: you go to bed, you don't hard peelow. 1163 01:00:46,920 --> 01:00:47,120 Speaker 1: God? 1164 01:00:47,560 --> 01:00:48,840 Speaker 3: Is that what we call them these days? 1165 01:00:48,880 --> 01:00:49,640 Speaker 1: All right? Yeah? 1166 01:00:52,080 --> 01:00:54,360 Speaker 3: Okay, the co hangar example was a good one. 1167 01:00:54,520 --> 01:00:58,360 Speaker 1: So wasn't. Yeah, well you still haven't explained to us 1168 01:00:58,440 --> 01:01:00,680 Speaker 1: what what are we talking about? So you mean like 1169 01:01:00,800 --> 01:01:02,880 Speaker 1: a T shirt can be hard or soft? 1170 01:01:02,960 --> 01:01:03,400 Speaker 3: Do you mean that? 1171 01:01:03,600 --> 01:01:04,120 Speaker 1: Or what do you mean? 1172 01:01:04,760 --> 01:01:08,160 Speaker 3: What happens is that the little bits that. 1173 01:01:08,320 --> 01:01:10,560 Speaker 1: Make Oh he's stuttering, isn't he? Isn't he tiff? He 1174 01:01:10,640 --> 01:01:13,160 Speaker 1: doesn't know what he's fucking? He's making it up. 1175 01:01:13,640 --> 01:01:14,560 Speaker 3: I'm not making it up. 1176 01:01:17,240 --> 01:01:19,640 Speaker 1: He's derailed himself with the word flaccid. 1177 01:01:19,920 --> 01:01:23,760 Speaker 3: Yeah, I have. The interlocking pieces that make up whatever 1178 01:01:23,880 --> 01:01:26,520 Speaker 3: the object is that you're making are able to be 1179 01:01:26,720 --> 01:01:30,680 Speaker 3: turned off and on so that they either interlinked rigidly, 1180 01:01:31,240 --> 01:01:33,400 Speaker 3: or they can be switched to a mode where they 1181 01:01:33,560 --> 01:01:36,960 Speaker 3: then collapse down to effectively become flaccid. 1182 01:01:37,160 --> 01:01:38,320 Speaker 4: They called tent poles. 1183 01:01:39,160 --> 01:01:42,760 Speaker 1: Give us, give us, give us an application of this 1184 01:01:43,080 --> 01:01:45,439 Speaker 1: ridiculous unnecessary technology. 1185 01:01:45,960 --> 01:01:49,040 Speaker 3: So you could you get a coat hanger that collapses 1186 01:01:49,120 --> 01:01:51,640 Speaker 3: down and are just dangling there and then when you 1187 01:01:51,840 --> 01:01:54,280 Speaker 3: open it up it goes into the rigid shape of 1188 01:01:54,320 --> 01:01:57,280 Speaker 3: a coat hanger. So will you traveling? How handy? Would 1189 01:01:57,280 --> 01:01:58,600 Speaker 3: that be the objective? 1190 01:01:59,360 --> 01:02:01,560 Speaker 1: Have you noticed that? He says, code hagar? Funny he 1191 01:02:01,640 --> 01:02:02,520 Speaker 1: says codehanger? 1192 01:02:02,680 --> 01:02:03,240 Speaker 3: Yeah, he does. 1193 01:02:04,160 --> 01:02:05,760 Speaker 1: Like what's that about? What did I say? 1194 01:02:06,320 --> 01:02:06,360 Speaker 2: What? 1195 01:02:06,920 --> 01:02:08,680 Speaker 3: How did I open it out? Where? Did you say? 1196 01:02:09,000 --> 01:02:14,640 Speaker 1: Well, it's coat hanger and you say codehangar? I did, Yes, 1197 01:02:14,800 --> 01:02:15,160 Speaker 1: you did. 1198 01:02:16,080 --> 01:02:16,600 Speaker 3: I'll tell you what. 1199 01:02:16,680 --> 01:02:21,240 Speaker 1: From everyone listening, you sound like Sheldon from The Big Bang. 1200 01:02:21,360 --> 01:02:26,360 Speaker 1: Code Hagar, Patrick, You've been terrible today. How do people 1201 01:02:26,440 --> 01:02:28,720 Speaker 1: find you and follow you? Why would they want to? 1202 01:02:29,440 --> 01:02:29,960 Speaker 3: Seriously? 1203 01:02:30,160 --> 01:02:33,080 Speaker 1: Why they Well, because you're never terrible. You know that 1204 01:02:33,160 --> 01:02:34,800 Speaker 1: we love you. You know I love you, and you 1205 01:02:34,920 --> 01:02:37,440 Speaker 1: know Tiff loves you, and you're always brilliant. How do 1206 01:02:37,520 --> 01:02:39,520 Speaker 1: people come and start your joint? 1207 01:02:39,960 --> 01:02:42,480 Speaker 3: Yeah? Well, I actually have a marketing business. Believe it 1208 01:02:42,600 --> 01:02:46,240 Speaker 3: or that. Figure Now go to websites now dot com 1209 01:02:46,480 --> 01:02:49,720 Speaker 3: dot Au websites now dot com today you and we 1210 01:02:49,840 --> 01:02:51,640 Speaker 3: kind of can help with that sort of stuff. Tech 1211 01:02:51,720 --> 01:02:55,480 Speaker 3: stuff building websites, branding, positioning, and if you want to. 1212 01:02:55,480 --> 01:02:58,360 Speaker 1: Know more about code hangars just hit him up. 1213 01:02:59,160 --> 01:03:02,400 Speaker 3: Yeah, you can get a personal one on one coat 1214 01:03:02,520 --> 01:03:03,680 Speaker 3: hanger story. 1215 01:03:04,920 --> 01:03:06,680 Speaker 1: Thanks Tiff, Thanks guys,