1 00:00:00,360 --> 00:00:02,440 Speaker 1: I get a team. It's a you project. It's Patrick 2 00:00:02,440 --> 00:00:09,360 Speaker 1: and Craig. It's we are officially tipless, which sounds like syphless, 3 00:00:09,360 --> 00:00:13,320 Speaker 1: but it's not. It's we're tipless, not siphless, and straight 4 00:00:13,360 --> 00:00:16,120 Speaker 1: into it. It's Friday here and the thriving metropolis. I'll 5 00:00:16,160 --> 00:00:18,599 Speaker 1: say that again slower for our American listeners. 6 00:00:18,840 --> 00:00:19,320 Speaker 2: Friday. 7 00:00:20,360 --> 00:00:23,160 Speaker 1: It is sixteen minutes past nine in the am. It's 8 00:00:23,200 --> 00:00:29,040 Speaker 1: the thirtieth of the first. We're sliding into February already, Patrick, 9 00:00:29,280 --> 00:00:33,360 Speaker 1: we're already well and truly past the new year, like 10 00:00:33,400 --> 00:00:34,520 Speaker 1: we're into the next month. 11 00:00:34,600 --> 00:00:34,920 Speaker 2: Nelly. 12 00:00:36,080 --> 00:00:38,400 Speaker 3: That just fills me with dread. And you know what, 13 00:00:38,440 --> 00:00:42,000 Speaker 3: it's take two, isn't it. Sorry, that was kind of funny, So. 14 00:00:41,920 --> 00:00:43,400 Speaker 2: Tell everyone what you did to me. 15 00:00:44,040 --> 00:00:46,839 Speaker 3: So Paul Craig is so excited about the intro of 16 00:00:46,880 --> 00:00:48,600 Speaker 3: the show and he gets in there and he does 17 00:00:48,640 --> 00:00:51,320 Speaker 3: his rave and it's sounding great. But he was over 18 00:00:51,640 --> 00:00:54,840 Speaker 3: a termin radio called over modulating. He was yelling so 19 00:00:55,080 --> 00:00:59,280 Speaker 3: much that it was clipping the VU level meter. Craigo, 20 00:00:59,440 --> 00:01:01,200 Speaker 3: if you had a you meet her in front of you, 21 00:01:01,440 --> 00:01:04,040 Speaker 3: it would be belting the red. It would probably smash 22 00:01:04,080 --> 00:01:06,000 Speaker 3: the glass and it would have gone out and it 23 00:01:06,040 --> 00:01:07,479 Speaker 3: would have shattered all over the panel. 24 00:01:08,840 --> 00:01:12,560 Speaker 1: Yeah, fuck you, vu Meter, stick it up your bottom. 25 00:01:12,800 --> 00:01:15,280 Speaker 1: That's why I have you, because you're the tech geek. 26 00:01:15,400 --> 00:01:19,000 Speaker 1: You can go, hey fucking loudy McLoud, start rein it in. 27 00:01:19,319 --> 00:01:23,120 Speaker 1: Just slow it down, lower it down, get back in 28 00:01:23,160 --> 00:01:25,280 Speaker 1: the sweet spot where you're not deafening people. 29 00:01:25,760 --> 00:01:26,960 Speaker 2: I can be. 30 00:01:27,880 --> 00:01:30,440 Speaker 1: I can be a lot like you have to. The 31 00:01:30,480 --> 00:01:32,640 Speaker 1: thing is too when you do it every day right. 32 00:01:33,600 --> 00:01:37,959 Speaker 1: You want to get yourself into a place where like 33 00:01:38,040 --> 00:01:41,800 Speaker 1: you've got good energy, but sometimes that just gets twisted in. 34 00:01:41,720 --> 00:01:42,440 Speaker 2: With the volume. 35 00:01:42,920 --> 00:01:45,280 Speaker 3: I just like to think that when I'm on the show, 36 00:01:45,360 --> 00:01:46,440 Speaker 3: you get more excited. 37 00:01:47,760 --> 00:01:50,840 Speaker 1: I take it asa you know, well, I definitely look 38 00:01:50,880 --> 00:01:54,040 Speaker 1: forward to podcasts with you because you know, this is 39 00:01:54,120 --> 00:01:56,600 Speaker 1: purely subjective and our listeners may or may not agree. 40 00:01:56,640 --> 00:02:00,480 Speaker 1: But I feel like over the last while, I don't know, 41 00:02:00,520 --> 00:02:03,240 Speaker 1: I feel like our shows are better. Probably some people 42 00:02:03,280 --> 00:02:04,800 Speaker 1: think they're worse, but it's just for me. 43 00:02:04,880 --> 00:02:07,320 Speaker 2: It's more fun. Like we've had a lot of fun recently. 44 00:02:07,520 --> 00:02:09,320 Speaker 1: But what I love about you is I don't need 45 00:02:09,360 --> 00:02:13,280 Speaker 1: to do any planning because for those who don't know, 46 00:02:13,400 --> 00:02:16,120 Speaker 1: Patrick sets the agenda for what we're going to talk 47 00:02:16,120 --> 00:02:19,120 Speaker 1: about and just sends it through to me. I literally 48 00:02:19,160 --> 00:02:21,200 Speaker 1: have his face and my face on the screen, and 49 00:02:21,280 --> 00:02:24,680 Speaker 1: below that a list of topics, so I don't even know. 50 00:02:25,280 --> 00:02:28,280 Speaker 1: It's not like I've read and then opened up the 51 00:02:28,360 --> 00:02:30,959 Speaker 1: link and then read that I've done nothing, which suits 52 00:02:31,000 --> 00:02:34,720 Speaker 1: me perfectly because I'm in the middle of my productivity. 53 00:02:34,760 --> 00:02:38,080 Speaker 1: I'm also have a propensity for laziness, so that suits me. 54 00:02:38,200 --> 00:02:41,080 Speaker 1: But yeah, our shows are easy. You and Me is 55 00:02:41,240 --> 00:02:45,840 Speaker 1: probably the easiest, least effort show, so thank you for that, 56 00:02:46,000 --> 00:02:50,080 Speaker 1: but not so much laziness for you because you have 57 00:02:50,120 --> 00:02:52,160 Speaker 1: to do or did you do this prep? Or did 58 00:02:52,200 --> 00:02:53,880 Speaker 1: one of your underlings do this prep? 59 00:02:54,400 --> 00:02:55,400 Speaker 2: No, a bit of both. 60 00:02:55,639 --> 00:02:57,639 Speaker 3: What I do is I read a whole lot of 61 00:02:57,639 --> 00:02:59,800 Speaker 3: stuff over the fortnite, and if I see an article 62 00:02:59,840 --> 00:03:02,200 Speaker 3: that I think's worth chatting about, I email it to 63 00:03:02,240 --> 00:03:05,880 Speaker 3: myself and then I get one of my colleagues to 64 00:03:06,000 --> 00:03:08,120 Speaker 3: just put it all into a document, and then I 65 00:03:08,200 --> 00:03:10,600 Speaker 3: refine it from there. I kind of swap things around 66 00:03:10,680 --> 00:03:13,080 Speaker 3: or add a little bits and pieces. So it's usually 67 00:03:13,160 --> 00:03:14,680 Speaker 3: just stuff that I've read and I want to remind 68 00:03:14,720 --> 00:03:18,560 Speaker 3: myself of so I don't forget to talk about it. 69 00:03:17,720 --> 00:03:20,560 Speaker 3: It's kind of it's fun. I enjoy it because I 70 00:03:20,639 --> 00:03:22,880 Speaker 3: just I love tech and I love what's going on 71 00:03:22,919 --> 00:03:26,000 Speaker 3: in tech. And sometimes it scares me, sometimes it excites me. 72 00:03:26,760 --> 00:03:29,480 Speaker 3: Other times. Yeah, it's but it's nice to to kind 73 00:03:29,480 --> 00:03:33,280 Speaker 3: of spitball it, you know, it's good to chat about questions. 74 00:03:33,800 --> 00:03:36,600 Speaker 3: And I think that's part of the enjoyment is that 75 00:03:37,080 --> 00:03:39,320 Speaker 3: you won't let me get away with anything, which is 76 00:03:39,400 --> 00:03:41,000 Speaker 3: nice you challenge me. 77 00:03:41,840 --> 00:03:45,120 Speaker 1: Yeah, Well, we were talking about this off air, right, 78 00:03:45,160 --> 00:03:48,320 Speaker 1: we were talking about which we won't mention the specifics, 79 00:03:48,320 --> 00:03:50,680 Speaker 1: but we're talking about friendship in general, and when were 80 00:03:50,720 --> 00:03:53,200 Speaker 1: talking about like we all want to be nice, but 81 00:03:53,320 --> 00:03:57,640 Speaker 1: like when does niceness become weakness or over compliance or 82 00:03:57,640 --> 00:04:01,760 Speaker 1: people pleasing? And you're a very You're probably a nicer 83 00:04:01,800 --> 00:04:05,080 Speaker 1: person than me in that sense. I think we're both kind, 84 00:04:05,640 --> 00:04:09,400 Speaker 1: but I think you're nicer, Like i'd probably rather hang 85 00:04:09,440 --> 00:04:16,719 Speaker 1: out with you, you know, but that you know, where does 86 00:04:16,120 --> 00:04:19,680 Speaker 1: when do we get to the point where we go, Hey, 87 00:04:19,839 --> 00:04:22,680 Speaker 1: I totally disagree with you, but that's cool, Like we 88 00:04:22,720 --> 00:04:25,640 Speaker 1: don't have to agree, you think, you know, Like you 89 00:04:25,640 --> 00:04:28,640 Speaker 1: were saying, you've got a really good friend who's I 90 00:04:28,720 --> 00:04:31,560 Speaker 1: once say what beliefs but got some very opposing beliefs 91 00:04:31,600 --> 00:04:35,839 Speaker 1: to you, right, but they're great. They're great, and same 92 00:04:35,880 --> 00:04:38,440 Speaker 1: with me. I've got, you know, I've got a bunch 93 00:04:38,480 --> 00:04:40,880 Speaker 1: of friends who think similar to me, who are kind 94 00:04:40,880 --> 00:04:43,400 Speaker 1: of half and half, and then some friends who were 95 00:04:43,520 --> 00:04:49,320 Speaker 1: kind of oppositional in our thinking around certain things, like 96 00:04:49,440 --> 00:04:50,360 Speaker 1: quite a lot of the time. 97 00:04:50,400 --> 00:04:51,800 Speaker 2: But I like how they think. 98 00:04:51,839 --> 00:04:54,680 Speaker 1: And I like the fact, like when people become very 99 00:04:54,680 --> 00:04:58,320 Speaker 1: finger pointing and dogmatic, you can fuck right off. But 100 00:04:58,440 --> 00:05:01,320 Speaker 1: if you just go you know, I think A and 101 00:05:01,440 --> 00:05:04,920 Speaker 1: you think B. These are my reasons. I'm like, cool, Yeah, 102 00:05:04,960 --> 00:05:07,360 Speaker 1: we're friends. We don't think the same about that thing. 103 00:05:07,440 --> 00:05:10,040 Speaker 1: But as I said to you off here, and you like, 104 00:05:10,120 --> 00:05:12,480 Speaker 1: the idea is like if we have to agree on anything, 105 00:05:12,520 --> 00:05:15,240 Speaker 1: it's not a friendship, it's a cult. Like if we 106 00:05:15,320 --> 00:05:17,400 Speaker 1: all have to think the same, do the same, eat 107 00:05:17,440 --> 00:05:20,280 Speaker 1: the same, move the same, believe the same, well, that's 108 00:05:20,440 --> 00:05:24,640 Speaker 1: a that's weird. That's just so not a normal, healthy friendship. 109 00:05:25,279 --> 00:05:26,160 Speaker 2: Do you see that though? 110 00:05:26,520 --> 00:05:28,960 Speaker 3: In that ecosystem where people tend to have the blinker 111 00:05:29,040 --> 00:05:32,560 Speaker 3: vision on and they just attract people who are exactly 112 00:05:32,560 --> 00:05:33,280 Speaker 3: the same as them. 113 00:05:33,520 --> 00:05:35,000 Speaker 2: I found that when I worked in the media. 114 00:05:35,040 --> 00:05:36,400 Speaker 3: One of the things I didn't want to do is 115 00:05:36,440 --> 00:05:39,160 Speaker 3: hang out with people in the media because all. 116 00:05:39,080 --> 00:05:43,680 Speaker 1: This later, well, that's confirmation bias, right, where you only 117 00:05:43,680 --> 00:05:45,919 Speaker 1: look for people who kind of are like you or 118 00:05:45,960 --> 00:05:50,360 Speaker 1: think like you, or their ideas and philosophy and perhaps habits, 119 00:05:50,440 --> 00:05:54,960 Speaker 1: behavior lifestyle are familiar to you and comfortable for you, 120 00:05:55,200 --> 00:05:58,280 Speaker 1: and and so you hang out with them because they're 121 00:05:58,360 --> 00:06:00,520 Speaker 1: just a different version of you, and you like that. 122 00:06:00,760 --> 00:06:05,520 Speaker 1: But people don't like hanging out with people who perhaps 123 00:06:05,560 --> 00:06:09,160 Speaker 1: the way that they live or are challenge them without 124 00:06:09,200 --> 00:06:11,800 Speaker 1: even being spoken to the amount of people who have 125 00:06:11,880 --> 00:06:14,760 Speaker 1: said to me over the years like this is a 126 00:06:14,800 --> 00:06:18,159 Speaker 1: guy who was morbidly obese who then got himself in 127 00:06:18,240 --> 00:06:22,160 Speaker 1: quite good shape. I never evangelize people, as in I 128 00:06:22,279 --> 00:06:25,000 Speaker 1: never I never just go up to people and give 129 00:06:25,040 --> 00:06:27,599 Speaker 1: people advice. Ever, the only time I give advice is 130 00:06:27,640 --> 00:06:31,120 Speaker 1: if I'm like on a show or somebody's asked for it. 131 00:06:31,200 --> 00:06:33,120 Speaker 1: But the people who have said to me over the years, oh, 132 00:06:33,200 --> 00:06:39,159 Speaker 1: you're just obsessed, because if I'm obsessed, then they're right 133 00:06:39,200 --> 00:06:44,279 Speaker 1: and I'm wrong, versus well, I'm actually I've got a 134 00:06:44,320 --> 00:06:46,520 Speaker 1: set of habits and behaviors and a lifestyle and an 135 00:06:46,560 --> 00:06:50,000 Speaker 1: operating system that works really well for my physiology and 136 00:06:50,040 --> 00:06:54,400 Speaker 1: my genetics. I don't obsess about food, I don't obsess 137 00:06:54,440 --> 00:06:56,240 Speaker 1: about exercise. 138 00:06:56,320 --> 00:06:58,640 Speaker 2: I just do what works for me. But it's much 139 00:06:58,680 --> 00:06:59,240 Speaker 2: easier to. 140 00:06:59,240 --> 00:07:03,840 Speaker 1: Criticize someone else's behavior or lifestyle because it means you 141 00:07:03,880 --> 00:07:06,240 Speaker 1: can't be wrong. If they're wrong, you can't be wrong, 142 00:07:06,480 --> 00:07:10,200 Speaker 1: then you don't need to change. And that's also all 143 00:07:10,240 --> 00:07:13,600 Speaker 1: of this shit is emotional too, Like you're a vegetarian 144 00:07:13,640 --> 00:07:16,840 Speaker 1: slash vegan, which I'm. 145 00:07:16,760 --> 00:07:18,800 Speaker 2: Totally up for, and I think we might. 146 00:07:18,600 --> 00:07:21,080 Speaker 1: All find out one day that maybe that's a better option. 147 00:07:21,160 --> 00:07:24,440 Speaker 1: Maybe we won't, but whatever, you're very passionate about it, 148 00:07:24,520 --> 00:07:28,000 Speaker 1: as you should be. Therefore, there's emotion. So it's very 149 00:07:28,080 --> 00:07:31,720 Speaker 1: hard to be totally logical and objective about something for 150 00:07:31,800 --> 00:07:35,640 Speaker 1: which your personality and your identity and your emotion are 151 00:07:35,640 --> 00:07:36,600 Speaker 1: all intertwined. 152 00:07:37,000 --> 00:07:38,679 Speaker 2: Same with me when. 153 00:07:38,560 --> 00:07:42,160 Speaker 1: People say are getting in shape, it's all about you 154 00:07:42,280 --> 00:07:45,800 Speaker 1: having the obesity gene. It's got nothing to do with 155 00:07:46,520 --> 00:07:48,600 Speaker 1: what you eat. Or I'm like, well that's just not 156 00:07:48,760 --> 00:07:52,440 Speaker 1: fucking true, you know, Like I'm quite passionate about certain 157 00:07:52,480 --> 00:07:56,320 Speaker 1: things that others aren't. You go, okay, you believe your thing. 158 00:07:56,400 --> 00:07:58,520 Speaker 1: I believe my thing. And it's all right. We don't 159 00:07:58,520 --> 00:08:03,280 Speaker 1: need to convince each other. M yeah, yeah, it's life. 160 00:08:03,280 --> 00:08:05,160 Speaker 1: It's good. It's good to have challenges. It's good to 161 00:08:05,200 --> 00:08:07,880 Speaker 1: have your belief systems challenged all the time. 162 00:08:07,920 --> 00:08:11,120 Speaker 2: I love that. Yeah, yeah, yeah. 163 00:08:11,160 --> 00:08:13,440 Speaker 1: And I was thinking I wrote this thing last night. 164 00:08:13,480 --> 00:08:18,120 Speaker 1: It's like, oh, hang on, I'm going to read it's 165 00:08:18,160 --> 00:08:20,120 Speaker 1: behind me on the whiteboard. Tell me if this doesn't 166 00:08:20,600 --> 00:08:25,000 Speaker 1: sound good or you can't hear me. I've crunched the numbers, 167 00:08:25,040 --> 00:08:28,600 Speaker 1: and it seems that the chance of me getting stuff 168 00:08:28,640 --> 00:08:30,400 Speaker 1: wrong in the future is one hundred percent. 169 00:08:31,440 --> 00:08:33,960 Speaker 2: Do you know what I mean? I love it. Yeah. 170 00:08:34,000 --> 00:08:38,040 Speaker 1: It's like, well, of course, of course, how many days 171 00:08:38,040 --> 00:08:40,560 Speaker 1: do I get things wrong every day of my life? 172 00:08:41,240 --> 00:08:44,880 Speaker 1: How many things with that total since I was a 173 00:08:44,920 --> 00:08:48,520 Speaker 1: young adult, I don't know, probably in the hundreds of thousands, 174 00:08:48,559 --> 00:08:52,000 Speaker 1: at least in the tens of thousands. So why the 175 00:08:52,040 --> 00:08:56,600 Speaker 1: fuck would I assume unequivocally that I'm right now? I 176 00:08:56,679 --> 00:09:01,079 Speaker 1: actually think that's a real sign of people in general, 177 00:09:01,200 --> 00:09:04,000 Speaker 1: of and I know we're getting philosophical, will dive into 178 00:09:04,040 --> 00:09:08,200 Speaker 1: the tech in a minute, but being somewhat evolved when 179 00:09:08,240 --> 00:09:10,520 Speaker 1: you can say this is what I think and believe, 180 00:09:11,280 --> 00:09:13,640 Speaker 1: but I could be wrong because I've been wrong about 181 00:09:13,640 --> 00:09:14,640 Speaker 1: many things before. 182 00:09:16,559 --> 00:09:19,319 Speaker 3: I've been playing little thought games every now and again, 183 00:09:19,760 --> 00:09:24,720 Speaker 3: where I think, am I still as mentally flexible in 184 00:09:24,800 --> 00:09:27,560 Speaker 3: terms of my belief systems and being wrong? 185 00:09:28,600 --> 00:09:29,520 Speaker 2: And is that changing? 186 00:09:29,520 --> 00:09:31,600 Speaker 3: Because we hear that as people get older, they get 187 00:09:31,640 --> 00:09:35,079 Speaker 3: grumpier and they're less inclined to be flexible with their minds. 188 00:09:35,120 --> 00:09:38,839 Speaker 3: And so for me, when I'm very firm on an 189 00:09:38,840 --> 00:09:41,600 Speaker 3: opinion and someone has a contrary opinion or I say 190 00:09:41,600 --> 00:09:42,480 Speaker 3: well you're wrong. 191 00:09:42,360 --> 00:09:43,120 Speaker 2: Do it this way. 192 00:09:43,440 --> 00:09:46,360 Speaker 3: I try to take a pause now and say, well, 193 00:09:46,559 --> 00:09:48,760 Speaker 3: maybe I am wrong with this, and should I just 194 00:09:48,880 --> 00:09:50,480 Speaker 3: sit back and take a bit of a breath and 195 00:09:51,000 --> 00:09:54,480 Speaker 3: reevaluate rather than just being no, I'm right, because the 196 00:09:54,520 --> 00:09:57,200 Speaker 3: instant reaction when someone sees you're wrong is to say no, 197 00:09:57,600 --> 00:09:59,920 Speaker 3: I'm right, you're wrong, and it is it's human nat. 198 00:10:00,480 --> 00:10:04,480 Speaker 3: But I wonder whether I'm becoming more old in my 199 00:10:04,640 --> 00:10:08,160 Speaker 3: mind and less flexible. But i'd like to think I'm not, 200 00:10:08,240 --> 00:10:09,920 Speaker 3: and I think we all liked to in some point, 201 00:10:10,320 --> 00:10:11,040 Speaker 3: But I don't know. 202 00:10:11,040 --> 00:10:12,439 Speaker 2: Do you do you ever challenge it? 203 00:10:12,480 --> 00:10:14,760 Speaker 3: I know you try to be as open minded as 204 00:10:14,760 --> 00:10:17,640 Speaker 3: possible and take on new ideas. 205 00:10:17,760 --> 00:10:21,120 Speaker 1: But more than ever, I was much more closed minded 206 00:10:21,120 --> 00:10:26,040 Speaker 1: when I was young, much more right, unequivocally like, well, 207 00:10:26,080 --> 00:10:30,160 Speaker 1: you know my background, right, So I grew up unequivocally 208 00:10:31,559 --> 00:10:35,080 Speaker 1: telling people how God works and heaven and hell and 209 00:10:35,160 --> 00:10:38,680 Speaker 1: judgment and the Bible and Old Testament New Testament. But 210 00:10:38,720 --> 00:10:41,520 Speaker 1: that was my programming, and that was my conditioning, and 211 00:10:41,559 --> 00:10:44,080 Speaker 1: that was my wheelhouse, and that was where I was comfortable, 212 00:10:44,080 --> 00:10:46,240 Speaker 1: and that was where I was confident, and that was 213 00:10:46,280 --> 00:10:52,640 Speaker 1: where I was familiar. And so in my mind I knew, like, 214 00:10:53,400 --> 00:10:55,160 Speaker 1: you know, Jesus said, I am the Way, the Truth 215 00:10:55,200 --> 00:10:57,120 Speaker 1: and the life like that, Nobody comes to me but 216 00:10:57,240 --> 00:11:00,320 Speaker 1: by the Father. Right, this is unequivocal. This is not 217 00:11:00,360 --> 00:11:06,679 Speaker 1: an opinion everyone, This is Jesus. And then you go, yeah, yeah, maybe, 218 00:11:07,320 --> 00:11:10,200 Speaker 1: like do we have any proof that Jesus said that, 219 00:11:10,360 --> 00:11:11,880 Speaker 1: Do we have any you know? It's like then you 220 00:11:11,960 --> 00:11:16,040 Speaker 1: unpack it, which to me was unthinkable because that was blasphemous. 221 00:11:16,760 --> 00:11:20,960 Speaker 1: But then now all these years later, there's no bidder, 222 00:11:21,360 --> 00:11:24,200 Speaker 1: there's no twisted, there's no there's just like, oh, look 223 00:11:25,160 --> 00:11:28,280 Speaker 1: do I still have faith or belief? Well the answer 224 00:11:28,320 --> 00:11:32,120 Speaker 1: is yes, do I have evidence? No? Do I have 225 00:11:32,240 --> 00:11:36,800 Speaker 1: absolute unequivocal proof or knowledge. No, could I be wrong? 226 00:11:37,320 --> 00:11:37,600 Speaker 2: Yes? 227 00:11:38,320 --> 00:11:40,440 Speaker 1: Now, there was a long time in my life where 228 00:11:40,440 --> 00:11:44,720 Speaker 1: I would never have said that you know about everything, 229 00:11:44,760 --> 00:11:46,800 Speaker 1: about the best way to try, the best way to eat. 230 00:11:47,080 --> 00:11:49,040 Speaker 1: I would tell you, no, this is how you should eat. 231 00:11:49,880 --> 00:11:52,679 Speaker 1: And then I discovered stuff and I'm like, oh, I've 232 00:11:52,679 --> 00:11:55,400 Speaker 1: been not I've only been wrong. I've been a fucking 233 00:11:55,480 --> 00:11:56,720 Speaker 1: wrong for like decades. 234 00:11:57,080 --> 00:11:57,280 Speaker 2: Yeah. 235 00:11:57,480 --> 00:11:59,199 Speaker 3: What was interesting because we were talking before we got 236 00:11:59,200 --> 00:12:02,600 Speaker 3: on air about human So humanism is basically a secular 237 00:12:02,679 --> 00:12:05,800 Speaker 3: set of moral values that are innately built into human 238 00:12:05,840 --> 00:12:09,720 Speaker 3: beings or the belief system of that. You walk across 239 00:12:09,720 --> 00:12:11,520 Speaker 3: the road you see a kid about to be run 240 00:12:11,559 --> 00:12:14,760 Speaker 3: over by a car, most human beings, decent human beings, 241 00:12:14,760 --> 00:12:16,760 Speaker 3: would run across the road and grab that kid. They 242 00:12:16,760 --> 00:12:19,760 Speaker 3: wouldn't look at a scripture, they wouldn't second guess themselves. 243 00:12:19,800 --> 00:12:22,360 Speaker 3: They would just do that because it's the right thing 244 00:12:22,440 --> 00:12:24,439 Speaker 3: to do, and we would feel that it's the right 245 00:12:24,440 --> 00:12:28,560 Speaker 3: thing to do. But isn't it funny how ultimately they intersect. So, 246 00:12:28,679 --> 00:12:32,440 Speaker 3: whether it's religious tenets and or humanist tenets or whatever 247 00:12:32,480 --> 00:12:37,280 Speaker 3: you believe, Buddhist, Muslim, whatever, there is an intersection where 248 00:12:37,280 --> 00:12:39,160 Speaker 3: there's a basic right and wrong that I think a 249 00:12:39,160 --> 00:12:42,000 Speaker 3: lot of us do feel. So, you know, however you 250 00:12:42,040 --> 00:12:44,840 Speaker 3: get to that point, whether it's through a book and reading, 251 00:12:44,960 --> 00:12:47,480 Speaker 3: or whether it's just because it feels the right thing 252 00:12:47,520 --> 00:12:49,320 Speaker 3: to do, I think a lot of us do come 253 00:12:49,360 --> 00:12:50,160 Speaker 3: to the same place. 254 00:12:51,120 --> 00:12:55,839 Speaker 1: Yeah, yeah, I think yeah, it's I call it your 255 00:12:55,880 --> 00:12:59,320 Speaker 1: internal sat NAV. That's like almost people might call it 256 00:12:59,320 --> 00:13:02,160 Speaker 1: their moral car or ethical compass or whatever where you 257 00:13:02,240 --> 00:13:05,880 Speaker 1: kind of go. You know, there's like this level of 258 00:13:05,920 --> 00:13:10,480 Speaker 1: knowledge and wisdom and truth and insight. I think again, 259 00:13:10,559 --> 00:13:13,000 Speaker 1: this is what I think that we have access to 260 00:13:13,480 --> 00:13:16,400 Speaker 1: where you don't need anyone to teach you or tell you. 261 00:13:16,400 --> 00:13:18,000 Speaker 1: You don't need to read it, you don't need to 262 00:13:18,040 --> 00:13:20,360 Speaker 1: hear it to know that this thing is a bad 263 00:13:20,400 --> 00:13:23,240 Speaker 1: thing to do to someone, This thing is a kind 264 00:13:23,280 --> 00:13:23,880 Speaker 1: thing to do. 265 00:13:24,520 --> 00:13:25,440 Speaker 2: This is an. 266 00:13:25,320 --> 00:13:30,040 Speaker 1: Acceptable behavior, This is an unacceptable behavior, you know. I 267 00:13:30,080 --> 00:13:33,760 Speaker 1: think there's that in a knowing. But then you know 268 00:13:33,800 --> 00:13:36,760 Speaker 1: the thing about and we'll get off this in a minute, 269 00:13:36,760 --> 00:13:39,920 Speaker 1: but we you know, growing up, you don't realize that 270 00:13:40,000 --> 00:13:42,680 Speaker 1: you are literally being programmed like a computer. 271 00:13:43,640 --> 00:13:45,120 Speaker 2: You know, your software is being. 272 00:13:45,559 --> 00:13:48,600 Speaker 1: Being programmed you like this Patrick, by the people around you, 273 00:13:48,640 --> 00:13:51,640 Speaker 1: by your school, by your peers, by your family, by 274 00:13:51,679 --> 00:13:57,480 Speaker 1: the information, by social media, by mainstream media, by you know, 275 00:13:57,559 --> 00:13:59,160 Speaker 1: old media, or whatever we want to call it. You know, 276 00:13:59,200 --> 00:14:01,360 Speaker 1: you just and then you up one day and you're twenty. 277 00:14:01,960 --> 00:14:04,840 Speaker 1: Now you've got this worldview that you didn't choose. You 278 00:14:04,880 --> 00:14:08,920 Speaker 1: didn't choose it. It's just a byproduct of your life, 279 00:14:09,120 --> 00:14:12,080 Speaker 1: you know. And then so then to actually because that's 280 00:14:12,160 --> 00:14:16,760 Speaker 1: now your your operating system, that's the window through which 281 00:14:16,760 --> 00:14:18,600 Speaker 1: you view everything. And then to be able to have 282 00:14:18,760 --> 00:14:23,040 Speaker 1: enough courage and perhaps open mindedness to go, gee, I 283 00:14:23,160 --> 00:14:27,040 Speaker 1: wonder of all the stuff that I believe, what's perhaps flawed, 284 00:14:27,680 --> 00:14:30,880 Speaker 1: or what's true, or what's maybe not kind what's kind 285 00:14:30,880 --> 00:14:34,400 Speaker 1: of not true. That's a hard thing to say when 286 00:14:34,640 --> 00:14:39,960 Speaker 1: your worldview and your beliefs in your your story is 287 00:14:40,000 --> 00:14:43,000 Speaker 1: intertwined with who you are, because then you've got to 288 00:14:43,080 --> 00:14:44,840 Speaker 1: kind of maybe refigure out. 289 00:14:44,720 --> 00:14:49,200 Speaker 2: Who the fuck you are. This is deep, right, Yeah, 290 00:14:49,200 --> 00:14:50,880 Speaker 2: I know. I just think we could almost keep on 291 00:14:50,960 --> 00:14:51,480 Speaker 2: going on this. 292 00:14:52,960 --> 00:14:58,400 Speaker 1: I'm happy to do you want to keep going or 293 00:14:58,400 --> 00:14:59,840 Speaker 1: do you want to do the science. 294 00:14:59,520 --> 00:15:03,400 Speaker 2: The disappointing the people who are tuning in for at least. 295 00:15:03,240 --> 00:15:05,560 Speaker 1: All right, let's do that let's start sorry about that 296 00:15:05,600 --> 00:15:07,400 Speaker 1: philosophical fucking way. 297 00:15:07,880 --> 00:15:08,360 Speaker 2: That was good? 298 00:15:08,480 --> 00:15:11,880 Speaker 1: Do long two winded mainly from me? We do that 299 00:15:12,280 --> 00:15:16,680 Speaker 1: we Episode one one seven. According to Patrick's notes, Episode one, 300 00:15:18,000 --> 00:15:23,320 Speaker 1: Patrick James Banello soon to be the mayor of Bland. 301 00:15:23,880 --> 00:15:26,360 Speaker 1: Wait more on that later. The mayor of Balan. You 302 00:15:26,400 --> 00:15:29,360 Speaker 1: heard it here first time. His campaign manager. We're going 303 00:15:29,360 --> 00:15:33,520 Speaker 1: to start pushing that. Are you open to look at him? 304 00:15:33,600 --> 00:15:37,080 Speaker 1: He's saying nothing. He's saying nothing. That was my idea, 305 00:15:37,160 --> 00:15:40,040 Speaker 1: not his. So the current mayor of Bland, if you 306 00:15:40,120 --> 00:15:42,560 Speaker 1: hear this, you don't need to be nervous at all. 307 00:15:44,120 --> 00:15:47,160 Speaker 2: We don't. We don't have a mayor anymore. Do you 308 00:15:47,200 --> 00:15:50,880 Speaker 2: have Maruble? Shi's right, that's it. Well, that's you. That's 309 00:15:50,920 --> 00:15:53,040 Speaker 2: going to be you, That's going to be you. I 310 00:15:53,080 --> 00:15:53,800 Speaker 2: was chatting to. 311 00:15:53,680 --> 00:15:58,760 Speaker 1: Somebody yesterday who you know who came to visit you. Yeah, 312 00:15:58,840 --> 00:16:02,440 Speaker 1: and he and I we won't mention his name. Max, Peggy. 313 00:16:02,280 --> 00:16:05,720 Speaker 1: We are firmly of the belief that you need to 314 00:16:05,760 --> 00:16:09,120 Speaker 1: be the mayor of that pound slash environment. 315 00:16:09,560 --> 00:16:09,920 Speaker 2: All right. 316 00:16:10,040 --> 00:16:14,160 Speaker 1: Scientists develop a new way to see inside the human 317 00:16:14,200 --> 00:16:18,240 Speaker 1: body using three D color imaging. What is the new way? 318 00:16:18,280 --> 00:16:20,560 Speaker 1: That's not an X ray or an MRI or a 319 00:16:20,560 --> 00:16:24,880 Speaker 1: bloody pet scan or what is this new way grasshopper 320 00:16:25,040 --> 00:16:26,359 Speaker 1: or obi one. 321 00:16:26,760 --> 00:16:29,960 Speaker 3: This is interesting because I mean I've been for ultrasounds. 322 00:16:30,000 --> 00:16:32,520 Speaker 3: I'm sure you've been for an ultrasound before. Ultrasounds are 323 00:16:32,520 --> 00:16:37,200 Speaker 3: great because they're relatively cheap to do, but they don't 324 00:16:37,240 --> 00:16:40,160 Speaker 3: have the fidelity or the resolution of other things. So 325 00:16:40,360 --> 00:16:44,480 Speaker 3: you know, you might have so photo acoustic imaging, you know, MRIs, 326 00:16:44,560 --> 00:16:48,280 Speaker 3: that sort of thing. The issue we've got and many 327 00:16:48,360 --> 00:16:50,600 Speaker 3: other sort of imaging is where you inject dies into 328 00:16:50,640 --> 00:16:53,640 Speaker 3: your body to see how your body circulation works and 329 00:16:53,680 --> 00:16:57,000 Speaker 3: things like that. So now what scientists are looking at 330 00:16:57,240 --> 00:17:02,000 Speaker 3: is it's basically blending sound and photoacoustics. 331 00:17:02,280 --> 00:17:04,320 Speaker 2: And the idea is that you cannot. 332 00:17:04,000 --> 00:17:07,320 Speaker 3: Just capture the structure of the tissue and blood vessels, 333 00:17:07,720 --> 00:17:09,720 Speaker 3: but you can see them in three D as well, 334 00:17:10,200 --> 00:17:13,000 Speaker 3: so you know, and that can me in real time 335 00:17:13,160 --> 00:17:16,040 Speaker 3: while they're doing what they do. So it's this, you know, 336 00:17:16,160 --> 00:17:20,560 Speaker 3: this mash up of these technologies to give you a 337 00:17:20,680 --> 00:17:24,080 Speaker 3: much better, more accurate, and higher fidelity view of what's 338 00:17:24,119 --> 00:17:27,439 Speaker 3: going inside you. It's about ten centimeters in so in 339 00:17:27,520 --> 00:17:30,840 Speaker 3: terms of how far into the skin and into your 340 00:17:31,160 --> 00:17:34,920 Speaker 3: internal functionings. But that's pretty exciting stuff. And I mean 341 00:17:34,960 --> 00:17:39,719 Speaker 3: particularly if you're trying to diagnose issues related to, say, 342 00:17:39,920 --> 00:17:41,359 Speaker 3: what's going on in your brain. 343 00:17:41,480 --> 00:17:44,679 Speaker 2: If you've got, you know, a tumor, what is the 344 00:17:44,720 --> 00:17:46,120 Speaker 2: tumor doing? Is it growing? 345 00:17:46,440 --> 00:17:48,919 Speaker 3: Is you know, is it being fed lots more? You know, 346 00:17:48,960 --> 00:17:50,680 Speaker 3: the blood vessels going to it. You know this all 347 00:17:50,680 --> 00:17:53,280 Speaker 3: that sort of stuff that can help with diagnosis and 348 00:17:53,320 --> 00:17:56,320 Speaker 3: looking at detailed anatomy because at the end of the day, 349 00:17:56,680 --> 00:17:59,200 Speaker 3: you know, without having to put a scalpel down, because 350 00:17:59,200 --> 00:18:00,639 Speaker 3: that's the last thing you want and I have to do. 351 00:18:01,000 --> 00:18:03,760 Speaker 3: If you can help and get a bit of diagnosis 352 00:18:03,800 --> 00:18:07,320 Speaker 3: without having to deep dive literally, then this is yet it's. 353 00:18:07,160 --> 00:18:08,119 Speaker 2: Pretty exciting stuff. 354 00:18:08,160 --> 00:18:13,159 Speaker 3: So just the combination of current technologies to make it 355 00:18:13,160 --> 00:18:16,520 Speaker 3: all work better. And it's they're calling it RUST. So 356 00:18:16,600 --> 00:18:21,720 Speaker 3: it's a RUSS pat Rotational ultrasound tomography is what it's 357 00:18:21,800 --> 00:18:25,639 Speaker 3: called interesting and it's using photoacoustic tomography. 358 00:18:26,440 --> 00:18:29,159 Speaker 1: So when you say you can look at it in 359 00:18:29,200 --> 00:18:32,719 Speaker 1: real time, does that mean it comes up like a 360 00:18:32,720 --> 00:18:36,120 Speaker 1: little video where you're seeing, like, for example, the heartbeat, 361 00:18:36,240 --> 00:18:40,080 Speaker 1: so you're actually seeing versus like a still picture. 362 00:18:40,880 --> 00:18:43,000 Speaker 3: And that's the idea and it's in three D as well, 363 00:18:43,520 --> 00:18:46,840 Speaker 3: so you can wow, that's bloody great. Yeah, so it's 364 00:18:46,920 --> 00:18:49,600 Speaker 3: really interesting this and this is ongoing of course, but 365 00:18:49,760 --> 00:18:52,680 Speaker 3: and I mean I don't think it's commercially available yet, 366 00:18:52,680 --> 00:18:54,480 Speaker 3: but it's a way of kind of proving that it 367 00:18:54,520 --> 00:18:59,119 Speaker 3: can be done. And yeah, it's pretty it's it's going 368 00:18:59,200 --> 00:19:01,560 Speaker 3: to take a big leap forward in diagnosis. 369 00:19:02,600 --> 00:19:05,879 Speaker 1: Well, yeah, the next one is of interest and a 370 00:19:05,920 --> 00:19:07,760 Speaker 1: little bit of alarm to me. I'm going to be honest. 371 00:19:09,240 --> 00:19:12,200 Speaker 1: Some people use WhatsApp boys and girls. It's an app 372 00:19:12,280 --> 00:19:17,399 Speaker 1: that's meant to be more secure, so let's say yeah, no, 373 00:19:17,600 --> 00:19:20,280 Speaker 1: let's not say anything. But people who don't want other 374 00:19:20,320 --> 00:19:23,760 Speaker 1: people to be able to access their messages use, among 375 00:19:23,800 --> 00:19:26,760 Speaker 1: other things, WhatsApp is one of the app apps that's 376 00:19:26,800 --> 00:19:30,000 Speaker 1: been known to be more secure should you want to 377 00:19:30,080 --> 00:19:32,920 Speaker 1: send a message that you don't want seen by anyone else. 378 00:19:33,359 --> 00:19:36,560 Speaker 1: But there's a lawsuit now alleging that WhatsApp has no 379 00:19:36,840 --> 00:19:40,359 Speaker 1: end to end encryption, which is their big claim. We 380 00:19:40,440 --> 00:19:43,720 Speaker 1: have end to end encryption, which means nobody can access 381 00:19:43,760 --> 00:19:46,400 Speaker 1: your messages, nobody accept you, and the receiver. 382 00:19:46,200 --> 00:19:50,360 Speaker 2: Can get to this. That may I'm going. 383 00:19:50,320 --> 00:19:52,080 Speaker 1: To have to quickly go and erase a whole lot 384 00:19:52,080 --> 00:19:56,520 Speaker 1: of shit on my phone. I'm not you are fucking 385 00:19:56,600 --> 00:20:03,080 Speaker 1: what is it hot in here? So we are you know, 386 00:20:03,440 --> 00:20:06,320 Speaker 1: those of us who are dealing buddy, you know, peels 387 00:20:06,359 --> 00:20:08,119 Speaker 1: out the back of our panel van, we could be 388 00:20:08,560 --> 00:20:09,080 Speaker 1: in trouble. 389 00:20:10,920 --> 00:20:13,040 Speaker 2: It's just that I think that. By the way, I 390 00:20:13,119 --> 00:20:13,600 Speaker 2: don't know. 391 00:20:13,560 --> 00:20:17,040 Speaker 1: How drug dealing works, so apologies to the drug dealers. 392 00:20:17,119 --> 00:20:21,720 Speaker 2: I'm making this WhatsApp. Yeah, yeah, the figure they don't. 393 00:20:21,880 --> 00:20:23,480 Speaker 3: And the other thing too is if you think about 394 00:20:23,560 --> 00:20:27,200 Speaker 3: a journalist interviewing somebody who's a whistleblower, you know, using 395 00:20:27,400 --> 00:20:33,200 Speaker 3: ah encryption, or someone who's in a politically volatile country 396 00:20:33,440 --> 00:20:36,399 Speaker 3: but is using WhatsApp to disclose. I mean, gosh, if 397 00:20:36,400 --> 00:20:38,960 Speaker 3: you're in Iran at the moment, you're absolutely screwed. But 398 00:20:39,000 --> 00:20:42,000 Speaker 3: you're not hearing this because there's a massive blockout of 399 00:20:42,119 --> 00:20:47,840 Speaker 3: Internet anyway. But what this means is WhatsApp was purchased 400 00:20:47,840 --> 00:20:49,680 Speaker 3: by Neta a few years ago. 401 00:20:50,040 --> 00:20:54,320 Speaker 1: And when I just point something out, mister compassion, if 402 00:20:54,320 --> 00:20:56,280 Speaker 1: you're in i Ran at the moment, you're screwed. 403 00:20:56,720 --> 00:20:57,879 Speaker 2: Well, I'll talk about that. 404 00:20:58,600 --> 00:21:02,080 Speaker 1: Shout out to our brothers and in Iran, we hope 405 00:21:02,080 --> 00:21:03,000 Speaker 1: you're okay. 406 00:21:03,480 --> 00:21:04,640 Speaker 2: We can't. That's the thing. 407 00:21:04,680 --> 00:21:07,000 Speaker 3: It's scary they you know, we take a lot for 408 00:21:07,040 --> 00:21:09,920 Speaker 3: granted when it comes to tellcommunications, and there's been nearly 409 00:21:09,920 --> 00:21:14,239 Speaker 3: a three week blackout. The government is trying to just 410 00:21:14,320 --> 00:21:17,840 Speaker 3: stop the Internet and then filter it to a point 411 00:21:18,040 --> 00:21:20,399 Speaker 3: where people will just not be able to search for 412 00:21:20,440 --> 00:21:23,840 Speaker 3: anything except stuff the government has widelisted. I know we're 413 00:21:23,880 --> 00:21:24,880 Speaker 3: digressing somewhat. 414 00:21:25,080 --> 00:21:28,120 Speaker 1: Then I ask one more digressing question, but tech related. 415 00:21:28,160 --> 00:21:30,520 Speaker 1: So if I live in Iran, I'm a dummy with 416 00:21:30,600 --> 00:21:34,119 Speaker 1: this shit. So humor me. I live in Iran, I 417 00:21:34,200 --> 00:21:37,680 Speaker 1: live on the top floor of a ten story residential building, 418 00:21:38,440 --> 00:21:39,880 Speaker 1: and I've got Starlink. 419 00:21:40,880 --> 00:21:44,199 Speaker 3: Can I do I still have Internet? No, they were 420 00:21:44,200 --> 00:21:46,880 Speaker 3: trying to throttle back Staralink as well. That's that's exactly 421 00:21:46,920 --> 00:21:50,440 Speaker 3: the point the government was relating. So they could basically 422 00:21:50,480 --> 00:21:53,479 Speaker 3: say to Elon Musk that you have no right to 423 00:21:53,600 --> 00:21:56,680 Speaker 3: use stalink in our country and we want you closing 424 00:21:56,680 --> 00:21:59,359 Speaker 3: off that service so or throttling it back. So that 425 00:21:59,760 --> 00:22:02,240 Speaker 3: was one of the other issues as well that included Starlink. 426 00:22:02,280 --> 00:22:05,720 Speaker 3: The government's trying to control everything, every bit of access 427 00:22:05,760 --> 00:22:09,880 Speaker 3: to technology and every bit of access to the Internet 428 00:22:10,040 --> 00:22:12,480 Speaker 3: that hasn't been filtered. I mean, it's happening to a 429 00:22:12,480 --> 00:22:15,280 Speaker 3: degree in China, but even things like VPNs couldn't be used. 430 00:22:16,440 --> 00:22:20,639 Speaker 3: I try to geolocate yourself somewhere else so that you 431 00:22:20,640 --> 00:22:22,520 Speaker 3: can pretend not to be in that country. 432 00:22:23,200 --> 00:22:25,040 Speaker 1: Me and ninety two percent of the audience to go 433 00:22:25,119 --> 00:22:25,959 Speaker 1: on cool story. 434 00:22:25,960 --> 00:22:29,679 Speaker 3: What's VPN virtual private network where you try to relocate 435 00:22:29,720 --> 00:22:33,680 Speaker 3: yourself digitally into another country. So right, mix account and 436 00:22:33,920 --> 00:22:35,960 Speaker 3: the program that you want to watch is an available 437 00:22:35,960 --> 00:22:38,560 Speaker 3: in Australia, but it's available in the US or Canada. 438 00:22:38,800 --> 00:22:40,920 Speaker 3: You could say, well, I'm in Canada, now log onto 439 00:22:40,960 --> 00:22:43,919 Speaker 3: your account and then watch the Canadian I don't know 440 00:22:44,440 --> 00:22:46,960 Speaker 3: how to eat track down and eat bears. I don't 441 00:22:46,960 --> 00:22:47,639 Speaker 3: know whatever it is. 442 00:22:48,880 --> 00:22:50,720 Speaker 1: I just had a brilliant idea that turned out to 443 00:22:50,760 --> 00:22:52,919 Speaker 1: be not so brilliant. Or while you were saying that 444 00:22:53,000 --> 00:22:56,359 Speaker 1: I was going to start raising homing pigeons, then I thought, 445 00:22:56,400 --> 00:22:57,600 Speaker 1: how do I sell them in a run? 446 00:22:57,720 --> 00:23:01,480 Speaker 2: I can't advertise them all right in the order to 447 00:23:01,760 --> 00:23:02,959 Speaker 2: flyer attached to it. 448 00:23:03,520 --> 00:23:07,120 Speaker 1: Could you imagine the old days like that was technology? 449 00:23:07,320 --> 00:23:10,760 Speaker 1: I mean, imagine you can send a message one hundred 450 00:23:10,840 --> 00:23:13,679 Speaker 1: miles and then I'll mate put some message in the 451 00:23:13,720 --> 00:23:17,000 Speaker 1: old bit of metal around the foot and sends another 452 00:23:17,080 --> 00:23:20,960 Speaker 1: message back to you and you get a two hundred 453 00:23:21,040 --> 00:23:23,520 Speaker 1: mile relay in a few hours. 454 00:23:23,800 --> 00:23:24,560 Speaker 2: What about if. 455 00:23:24,440 --> 00:23:27,240 Speaker 3: You've got a pigeon coop right, and it's full of pigeons, 456 00:23:27,359 --> 00:23:30,199 Speaker 3: the pigeon flies three hundred kilometers, gets there and it 457 00:23:30,240 --> 00:23:32,560 Speaker 3: gets to there and sorry, can't fit you in. Your 458 00:23:32,600 --> 00:23:34,800 Speaker 3: pigeon coop is full? Return to send it? 459 00:23:34,880 --> 00:23:35,160 Speaker 2: Ah. 460 00:23:37,880 --> 00:23:40,920 Speaker 1: Oh, you're like, oh the fucking oh, you got to 461 00:23:40,960 --> 00:23:44,080 Speaker 1: clear out some of your pigeons. Bro it existed, not 462 00:23:44,240 --> 00:23:49,040 Speaker 1: enough space. Ah, that's funny. Tech giants head to Landmark 463 00:23:49,200 --> 00:23:52,919 Speaker 1: US trial over social media addiction claims. 464 00:23:52,920 --> 00:23:53,720 Speaker 2: I'm going to say it again. 465 00:23:53,800 --> 00:23:57,880 Speaker 1: Tech giants head to Landmark US trial over social media 466 00:23:58,400 --> 00:24:00,920 Speaker 1: This is a very addiction claim. This is a very 467 00:24:00,960 --> 00:24:05,440 Speaker 1: slippery slope and very hard to prove and vary from 468 00:24:05,440 --> 00:24:08,840 Speaker 1: a psychology and a technology and it's like, it's very 469 00:24:08,880 --> 00:24:11,560 Speaker 1: hard to say because there's so many variables in this. 470 00:24:11,720 --> 00:24:13,760 Speaker 2: But what's the story? Tell us? 471 00:24:14,280 --> 00:24:18,520 Speaker 3: There's an organization called the Social Media Victim Law Center 472 00:24:19,080 --> 00:24:22,080 Speaker 3: and there's an attorney representing them. This's the first time 473 00:24:22,119 --> 00:24:24,000 Speaker 3: this has gone to court, and what they're trying to 474 00:24:24,040 --> 00:24:27,000 Speaker 3: do is they're taking all these multiple CEOs to court, 475 00:24:27,280 --> 00:24:32,119 Speaker 3: including Mark Zuckerberg. They're targeting Meta and YouTube and TikTok 476 00:24:32,440 --> 00:24:36,240 Speaker 3: and they're basically accusing them of making products that intentionally 477 00:24:36,320 --> 00:24:41,000 Speaker 3: are addictive and harmful to young people. And this has 478 00:24:41,400 --> 00:24:43,800 Speaker 3: I was reading through the article and it kind of 479 00:24:43,800 --> 00:24:46,359 Speaker 3: makes sense. I see where they're going with this, because 480 00:24:46,359 --> 00:24:51,000 Speaker 3: they're saying that the actual mechanics of how social media 481 00:24:51,320 --> 00:24:56,719 Speaker 3: works is designed to manipulate people. So they're you know, 482 00:24:56,800 --> 00:25:00,040 Speaker 3: and there are one hundred with sixteen hundred plaintiffs, so 483 00:25:00,080 --> 00:25:02,600 Speaker 3: it's a lot of people involved, more than three hundred 484 00:25:02,600 --> 00:25:05,720 Speaker 3: and fifty families, two hundred and fifty school districts. This 485 00:25:05,880 --> 00:25:09,240 Speaker 3: is quite a big landmark case. But what I thought 486 00:25:09,320 --> 00:25:11,760 Speaker 3: was really interesting and where it relates to us here 487 00:25:11,800 --> 00:25:15,240 Speaker 3: in Australia is one of the things that was quoted 488 00:25:15,280 --> 00:25:17,320 Speaker 3: by the people who are running the case. One of 489 00:25:17,320 --> 00:25:21,639 Speaker 3: the experts was saying that it's not about blocking children 490 00:25:21,800 --> 00:25:25,840 Speaker 3: from social media, it's about the onus being on social 491 00:25:25,920 --> 00:25:28,840 Speaker 3: media being as addictive and manipulative as it is. 492 00:25:29,200 --> 00:25:30,480 Speaker 2: So you know, if. 493 00:25:30,359 --> 00:25:33,200 Speaker 3: Australians say, Okay, we're just going to not let Australian 494 00:25:33,280 --> 00:25:37,520 Speaker 3: kids under the age of sixteen access the Internet, access 495 00:25:37,520 --> 00:25:40,200 Speaker 3: social media. You're not solving the problem of social media. 496 00:25:40,280 --> 00:25:43,720 Speaker 3: You're not forcing the tech giants to change the algorithms 497 00:25:43,760 --> 00:25:46,680 Speaker 3: to fix the problem. You're just stopping kids from having 498 00:25:46,720 --> 00:25:50,439 Speaker 3: access and potentially making it difficult too for some kids 499 00:25:50,480 --> 00:25:54,120 Speaker 3: that you may have issues where they're isolated and they 500 00:25:54,119 --> 00:25:56,840 Speaker 3: need social media to connect with community. So this is 501 00:25:56,880 --> 00:25:59,919 Speaker 3: the problem. But under the current system. The problem with 502 00:26:00,000 --> 00:26:03,280 Speaker 3: the system is what they're alleging is that young people 503 00:26:03,320 --> 00:26:07,240 Speaker 3: get hooked, that they fall prey to depression, eating disorders, 504 00:26:07,280 --> 00:26:10,080 Speaker 3: self harm, and other mental health issues. So that's the 505 00:26:10,800 --> 00:26:13,639 Speaker 3: basis for the case. But it was interesting that it 506 00:26:13,720 --> 00:26:16,399 Speaker 3: had that Australian connection in terms of, you know, just 507 00:26:16,440 --> 00:26:19,120 Speaker 3: shutting the door on social media isn't fixing the problem 508 00:26:19,200 --> 00:26:22,120 Speaker 3: because it's not fixing the social media entity itself. 509 00:26:22,920 --> 00:26:26,879 Speaker 2: Yeah, it's it's I mean, it's a good point. 510 00:26:26,960 --> 00:26:32,000 Speaker 1: Like designing, I'm thinking about creating products or services or 511 00:26:32,040 --> 00:26:38,760 Speaker 1: whatever or technology that's potentially addictive I'm sure and intentionally 512 00:26:38,840 --> 00:26:42,879 Speaker 1: doing that, and then I'm thinking, oh, imagine if there 513 00:26:42,920 --> 00:26:46,640 Speaker 1: was anything else like that, like ah booze or sugar 514 00:26:47,200 --> 00:26:51,600 Speaker 1: or cigarettes or gambling, horse racing, casinos or pawn or 515 00:26:51,680 --> 00:26:54,600 Speaker 1: junk food or vapes or all of these things are 516 00:26:54,640 --> 00:26:58,840 Speaker 1: literally created to addict people, like all of them, Like, 517 00:26:59,040 --> 00:27:00,760 Speaker 1: none of them are healthy, none of them are good 518 00:27:00,800 --> 00:27:05,280 Speaker 1: for you. At least social media can be used in 519 00:27:05,320 --> 00:27:11,040 Speaker 1: a positive way. Yeah, it's like, well, I mean, marketing 520 00:27:11,560 --> 00:27:15,359 Speaker 1: in a way is trying to get people, if not 521 00:27:15,480 --> 00:27:18,800 Speaker 1: intertwined with whatever it is that they're selling, addicted, And 522 00:27:18,880 --> 00:27:20,840 Speaker 1: I mean that's yeah. 523 00:27:20,760 --> 00:27:23,280 Speaker 2: So it is valid. 524 00:27:23,400 --> 00:27:27,280 Speaker 1: But also the world is full of companies selling things 525 00:27:27,280 --> 00:27:29,840 Speaker 1: that are to an extent addictive already. 526 00:27:31,640 --> 00:27:33,160 Speaker 2: Look, I see what you're saying. 527 00:27:33,200 --> 00:27:38,000 Speaker 3: I guess the proliferation of social media and the exposing 528 00:27:38,040 --> 00:27:40,840 Speaker 3: of young people because predominantly we're talking about young people. 529 00:27:40,960 --> 00:27:44,520 Speaker 3: This court case relates to young people who are potentially 530 00:27:44,600 --> 00:27:46,000 Speaker 3: hurting themselves. 531 00:27:45,440 --> 00:27:47,720 Speaker 2: Going down that rabbit hole, and that. 532 00:27:47,600 --> 00:27:49,920 Speaker 3: The socialia and I know what you're saying, You're right, 533 00:27:50,280 --> 00:27:53,040 Speaker 3: smoking all the rest of it is harmful to people. 534 00:27:53,040 --> 00:27:57,240 Speaker 3: We know that, I guess. But when you think of 535 00:27:57,280 --> 00:27:59,719 Speaker 3: how many people smoke and how many people are exposed 536 00:27:59,760 --> 00:28:02,280 Speaker 3: to say, social media and the way that social media 537 00:28:02,359 --> 00:28:05,359 Speaker 3: talks about being connected and fluffy and lovely, and you know, 538 00:28:05,440 --> 00:28:08,000 Speaker 3: all that sort of stuff. I think the insidious nature 539 00:28:08,040 --> 00:28:10,080 Speaker 3: of it is what we're kind of talking about, but 540 00:28:10,119 --> 00:28:14,040 Speaker 3: also the proliferation of social media more so than anything else. 541 00:28:14,680 --> 00:28:22,040 Speaker 1: Well, yeah, but we unequivocally know, unequivocally that smoking kills 542 00:28:22,119 --> 00:28:28,159 Speaker 1: people literally directly physiologically, it causes cancer. But any eighteen 543 00:28:28,200 --> 00:28:30,200 Speaker 1: year old can go to seven eleven and buy ten 544 00:28:30,280 --> 00:28:34,159 Speaker 1: packs today if they could afford it, and you know 545 00:28:34,600 --> 00:28:38,920 Speaker 1: that's but nonetheless it's totally legal and accessible. Like there's 546 00:28:38,960 --> 00:28:41,840 Speaker 1: a lot of stuff that is very bad for people 547 00:28:42,200 --> 00:28:46,400 Speaker 1: that is very available to people because it's lining pockets. 548 00:28:46,600 --> 00:28:48,440 Speaker 1: And of course I'm not trying to be the moral 549 00:28:49,000 --> 00:28:51,160 Speaker 1: high horse on this, but it's just true. And then 550 00:28:51,240 --> 00:28:54,200 Speaker 1: we jump up and down, which, by the way, I 551 00:28:55,240 --> 00:28:59,360 Speaker 1: hate the fact that kids' lives are being destroyed to 552 00:28:59,480 --> 00:29:05,480 Speaker 1: some level by social media, but I also think, well, 553 00:29:05,600 --> 00:29:08,400 Speaker 1: that is true. It is also true that we have 554 00:29:08,480 --> 00:29:12,240 Speaker 1: free will. It is also true that at the very 555 00:29:12,320 --> 00:29:14,720 Speaker 1: least we have a capacity to go. I'm not going 556 00:29:14,800 --> 00:29:17,640 Speaker 1: to look at that all day. Otherwise we say we 557 00:29:17,800 --> 00:29:20,680 Speaker 1: have no oh, I'm not in control of my life. 558 00:29:21,600 --> 00:29:22,240 Speaker 2: Social media. 559 00:29:22,280 --> 00:29:25,080 Speaker 1: If you're saying that you have no responsibility in this 560 00:29:25,520 --> 00:29:28,400 Speaker 1: or you have no control. It's that your brain and 561 00:29:28,440 --> 00:29:32,560 Speaker 1: your body and your willpower has been hijacked by this thing. 562 00:29:33,240 --> 00:29:35,520 Speaker 1: Then you've got no idea of your own potential and 563 00:29:35,560 --> 00:29:38,680 Speaker 1: you're literally handing over the power to something that is 564 00:29:38,720 --> 00:29:41,880 Speaker 1: not you. So I think one I agree with you, 565 00:29:42,320 --> 00:29:44,640 Speaker 1: but I think there needs to be a message that 566 00:29:44,680 --> 00:29:49,520 Speaker 1: we fucking humans at some stage need to take at 567 00:29:49,640 --> 00:29:53,040 Speaker 1: least a little bit of responsibility and ownership for what 568 00:29:53,160 --> 00:29:57,120 Speaker 1: we do. We can't always sue everyone else for what 569 00:29:57,400 --> 00:30:00,440 Speaker 1: we are literally doing because there are lots of kids 570 00:30:00,760 --> 00:30:04,320 Speaker 1: who are not abusing it. So if social media was 571 00:30:04,560 --> 00:30:08,000 Speaker 1: absolutely the problem, then everybody would be having the same 572 00:30:08,040 --> 00:30:13,320 Speaker 1: consequence and they're not, which absolutely proves that it's a 573 00:30:13,360 --> 00:30:16,360 Speaker 1: combination of factors and one being the user. 574 00:30:17,120 --> 00:30:20,200 Speaker 3: No, I do agree with what you're saying to a degree. 575 00:30:20,360 --> 00:30:23,200 Speaker 3: You know, when we talked about smoking, it's black and white. 576 00:30:23,320 --> 00:30:26,880 Speaker 3: There's absolutely, definitively the facts are all there that you know, 577 00:30:26,920 --> 00:30:29,360 Speaker 3: it's all been done. We know that if you choose 578 00:30:29,400 --> 00:30:31,480 Speaker 3: to smoke, you know that you're taking on a risk. 579 00:30:32,240 --> 00:30:36,640 Speaker 3: Social media isn't necessarily it's veiled. It's more veiled than that. 580 00:30:37,080 --> 00:30:39,600 Speaker 3: You know, you might feel like you're missing out because 581 00:30:39,640 --> 00:30:42,479 Speaker 3: you're not connected to your community, but the way that 582 00:30:42,560 --> 00:30:47,680 Speaker 3: the algorithm is designed is to manipulate you, particularly young minds. 583 00:30:47,840 --> 00:30:50,480 Speaker 3: And I was just looking at some stats in Australia. 584 00:30:50,680 --> 00:30:53,080 Speaker 3: It's still around about ten percent, ten to eleven percent 585 00:30:53,080 --> 00:30:56,480 Speaker 3: of Australians actually smoke in Australia. That's what the statistics say. 586 00:30:56,600 --> 00:31:00,200 Speaker 3: That's twenty twenty two to twenty three statistics. Now twenty 587 00:31:00,240 --> 00:31:03,320 Speaker 3: eight to seventy nine percent of Australians are on social media, 588 00:31:03,640 --> 00:31:06,520 Speaker 3: So there's a lot of in terms of comparatively, But 589 00:31:06,920 --> 00:31:08,520 Speaker 3: I know what you're saying, Wow. 590 00:31:08,520 --> 00:31:10,880 Speaker 1: The really important figure is how many people are dying? 591 00:31:11,360 --> 00:31:16,760 Speaker 1: Right and then use Well yeah, but also for every 592 00:31:16,800 --> 00:31:19,640 Speaker 1: one of those smokers, every one of them, it's bad. 593 00:31:20,040 --> 00:31:22,880 Speaker 1: But for the social media users that's not the case. 594 00:31:24,280 --> 00:31:28,560 Speaker 3: What the lawsuit's saying is that the algorithm, that what 595 00:31:28,840 --> 00:31:33,840 Speaker 3: these apps are doing is manipulating people behind the scenes, 596 00:31:34,320 --> 00:31:38,120 Speaker 3: and that they're deliberately doing this. So we're saying, great, 597 00:31:38,160 --> 00:31:39,440 Speaker 3: this is great, Well, you know, we can go on 598 00:31:39,560 --> 00:31:41,800 Speaker 3: by swap and sell, we can jump onto Facebook. But 599 00:31:42,080 --> 00:31:46,560 Speaker 3: what they're saying is that these companies are deliberately, subversively 600 00:31:46,960 --> 00:31:50,680 Speaker 3: manipulating people and it's not. It's young people particularly that 601 00:31:50,680 --> 00:31:54,520 Speaker 3: they're focusing on, and that what seems like it's an 602 00:31:54,520 --> 00:31:57,000 Speaker 3: innocent thing is not and it's insidious. And this, I 603 00:31:57,080 --> 00:31:59,120 Speaker 3: mean this is claims. Of course, this is why it's 604 00:31:59,160 --> 00:32:03,120 Speaker 3: going to court, because the claims are that it's manipulating people. 605 00:32:03,160 --> 00:32:06,719 Speaker 3: The claims are that it's in an insidious thing that 606 00:32:06,880 --> 00:32:09,840 Speaker 3: looks nice and fluffy on the outside but in fact 607 00:32:09,880 --> 00:32:12,520 Speaker 3: has been designed in such a way to suck our 608 00:32:12,560 --> 00:32:14,080 Speaker 3: lives through the computer screen. 609 00:32:15,440 --> 00:32:18,880 Speaker 1: All right, good now, I'm going to present the opposition case. 610 00:32:19,240 --> 00:32:19,440 Speaker 2: Right. 611 00:32:19,840 --> 00:32:23,840 Speaker 1: What you're saying is it's veiled. It's not fucking veiled. 612 00:32:24,000 --> 00:32:27,320 Speaker 1: It's all we talk about is the dangers of social media. 613 00:32:27,920 --> 00:32:31,000 Speaker 1: Like you need to turn on the Telly bro because 614 00:32:31,120 --> 00:32:34,720 Speaker 1: every fucking day there's more stories on how horrible social 615 00:32:34,760 --> 00:32:37,360 Speaker 1: media is. I can see, Fritz, don't try and don't 616 00:32:37,360 --> 00:32:39,720 Speaker 1: try and woo me with your fucking cute dog. It's 617 00:32:39,760 --> 00:32:43,200 Speaker 1: not happening, right. And then the other thing is we're 618 00:32:43,200 --> 00:32:49,280 Speaker 1: saying it's manipulating people. No, that's not true. That's unequivocal. 619 00:32:49,480 --> 00:32:52,600 Speaker 1: Oh one hundred percent, not one hundred percent? Oh well, 620 00:32:52,600 --> 00:32:55,440 Speaker 1: who well some people? Oh is it also true that 621 00:32:55,480 --> 00:32:59,239 Speaker 1: some people are not being manipulated. Also true. So to 622 00:32:59,280 --> 00:33:02,960 Speaker 1: say this categoric statement that this thing does that to 623 00:33:03,160 --> 00:33:06,840 Speaker 1: humans is again misleading. It has the potential, it has 624 00:33:06,840 --> 00:33:11,040 Speaker 1: the capacity, like you can't just pump it with emotion 625 00:33:11,160 --> 00:33:14,120 Speaker 1: and go. It's horrible. It's doing this to all our teenagers, 626 00:33:14,480 --> 00:33:19,040 Speaker 1: because that's not true. It does it to some you know, 627 00:33:19,400 --> 00:33:21,560 Speaker 1: and it's the same it can be with humans. And 628 00:33:22,040 --> 00:33:25,240 Speaker 1: is it fucking up some or our some lives being 629 00:33:25,360 --> 00:33:29,440 Speaker 1: fucked up as a result of certain kid's addiction to 630 00:33:29,520 --> 00:33:33,520 Speaker 1: a behavior on social media. I would think unequivocally yes, 631 00:33:33,680 --> 00:33:38,400 Speaker 1: I completely agree. But if the cause was let's just 632 00:33:38,480 --> 00:33:42,520 Speaker 1: go with Instagram or whatever, let's just go with Instagram. 633 00:33:42,640 --> 00:33:45,520 Speaker 1: If the cause was Instagram, then how comes so many 634 00:33:45,560 --> 00:33:48,880 Speaker 1: people who use Instagram are not having that outcome? Because 635 00:33:48,880 --> 00:33:52,760 Speaker 1: it isn't only about Instagram, it isn't only about the 636 00:33:52,840 --> 00:33:55,320 Speaker 1: social media and this is what we want to do, 637 00:33:55,400 --> 00:33:58,040 Speaker 1: we go, It's got nothing to do with us. We 638 00:33:58,200 --> 00:34:02,400 Speaker 1: are just the victim. That's bullshit. That's people not taking 639 00:34:02,480 --> 00:34:06,360 Speaker 1: responsibility for their own time, or their own choices, or 640 00:34:06,400 --> 00:34:09,239 Speaker 1: their own use of their energy. Don't pick up the 641 00:34:09,239 --> 00:34:13,000 Speaker 1: fucking phone, it's optional. Don't look at it it's optional, 642 00:34:13,760 --> 00:34:16,719 Speaker 1: like the whole Oh I'm not you know, this whole 643 00:34:16,719 --> 00:34:20,840 Speaker 1: thing going around at the moment about obesity, which is like, oh, 644 00:34:21,680 --> 00:34:24,520 Speaker 1: it's got nothing to do with you or your behavior, 645 00:34:24,600 --> 00:34:27,319 Speaker 1: or it's like it does bro. I know that's uncomfortable, 646 00:34:27,320 --> 00:34:30,839 Speaker 1: but no, it's all about having this gene. I go, well, 647 00:34:30,840 --> 00:34:32,959 Speaker 1: if it's all about genetics, and how come one hundred 648 00:34:33,080 --> 00:34:36,280 Speaker 1: years ago the obesity rate was lower than three percent, 649 00:34:36,800 --> 00:34:40,320 Speaker 1: we're not that genetically different, right, and now it's sixty 650 00:34:40,360 --> 00:34:44,040 Speaker 1: six percent, sixty seven percent for obesit in overweight. I'm 651 00:34:44,080 --> 00:34:46,640 Speaker 1: not saying it's it's got nothing to do with genetics, 652 00:34:46,640 --> 00:34:49,360 Speaker 1: of course it has. But to say that these things 653 00:34:49,440 --> 00:34:52,440 Speaker 1: have nothing to do with us, we're in this generation 654 00:34:52,560 --> 00:34:57,600 Speaker 1: where people want to avoid responsibility, accountability, ownership. I think 655 00:34:57,640 --> 00:35:00,680 Speaker 1: it's what you're saying, and what I'm saying is the truth. 656 00:35:01,440 --> 00:35:03,000 Speaker 1: It's that combination. 657 00:35:04,080 --> 00:35:09,720 Speaker 3: Yeah, yeah, listen to you, Come on, come on, surely 658 00:35:09,760 --> 00:35:10,919 Speaker 3: you've got to say one day. 659 00:35:11,080 --> 00:35:14,240 Speaker 2: That's a good point, Harps. It's an amazingly good point. 660 00:35:14,440 --> 00:35:17,320 Speaker 3: And there's nothing that you've just said that I don't totally, 661 00:35:17,760 --> 00:35:23,120 Speaker 3: unequivocably believe and agree with absolutely. I know that there 662 00:35:23,160 --> 00:35:26,120 Speaker 3: are a percentage of people out there who need to 663 00:35:26,160 --> 00:35:30,640 Speaker 3: be protected from themselves or make bad decisions and whatever 664 00:35:30,680 --> 00:35:33,560 Speaker 3: the reason is they you know, do you know what 665 00:35:33,600 --> 00:35:36,440 Speaker 3: I'm saying? And not everybody can be Craig Harper. No, 666 00:35:36,800 --> 00:35:39,680 Speaker 3: I've never suggested that. I would not suggest that. No, 667 00:35:39,800 --> 00:35:43,760 Speaker 3: but hang on, hang on, that's unfair. That's I would 668 00:35:43,840 --> 00:35:46,320 Speaker 3: never suggest that. And you know that now. 669 00:35:47,000 --> 00:35:47,719 Speaker 2: I see. 670 00:35:47,800 --> 00:35:51,520 Speaker 1: Here's the thing. I am not fucking special. I am 671 00:35:51,560 --> 00:35:55,359 Speaker 1: not genetically gifted. I was a morbilly obese child. I 672 00:35:55,400 --> 00:35:58,759 Speaker 1: am genetically predisposed to gain weight. I do have an 673 00:35:58,800 --> 00:36:03,920 Speaker 1: addictive personality. I fucking know that you can change the 674 00:36:04,040 --> 00:36:07,080 Speaker 1: quality of your life and your outcomes and your physiology 675 00:36:07,320 --> 00:36:10,280 Speaker 1: and your psychology and your behavior if. 676 00:36:10,160 --> 00:36:12,799 Speaker 2: You want to do it enough. But people don't like that. 677 00:36:12,840 --> 00:36:17,759 Speaker 1: Because that requires self control and effort and accountability. So 678 00:36:17,800 --> 00:36:20,440 Speaker 1: we'd rather go yeah, yeah, yeah, but this, but this 679 00:36:20,560 --> 00:36:24,360 Speaker 1: does that to me. It's just I don't know. I 680 00:36:24,360 --> 00:36:27,120 Speaker 1: feel like we're just entering a time where nobody does 681 00:36:27,200 --> 00:36:31,959 Speaker 1: anything wrong. It's nobody's fault. Whatever your outcomes are, it's 682 00:36:32,040 --> 00:36:37,799 Speaker 1: not you, it's something else. And I know that mediocre me, 683 00:36:38,160 --> 00:36:43,160 Speaker 1: like mediocre me, can produce amazing results just because I 684 00:36:43,239 --> 00:36:45,799 Speaker 1: do the things that produce amazing results, not because I 685 00:36:45,840 --> 00:36:47,040 Speaker 1: am inherently amazing. 686 00:36:48,280 --> 00:36:48,440 Speaker 2: Now. 687 00:36:48,480 --> 00:36:50,960 Speaker 3: Look, and it's a part of me that was against 688 00:36:51,160 --> 00:36:56,320 Speaker 3: the social media ban for kids under sixteen because you know, 689 00:36:56,560 --> 00:37:02,440 Speaker 3: is it about more educating and being proactive about using 690 00:37:02,480 --> 00:37:06,000 Speaker 3: these tools and saying, well, this is what can happen 691 00:37:06,040 --> 00:37:07,400 Speaker 3: when you use social media. 692 00:37:07,440 --> 00:37:09,799 Speaker 2: However, there are a lot of positives because you. 693 00:37:09,760 --> 00:37:13,480 Speaker 3: Get your community with your people, with your tribe. So 694 00:37:13,520 --> 00:37:15,239 Speaker 3: what we're going to do is teach you to use 695 00:37:15,320 --> 00:37:17,759 Speaker 3: this in a way that's going to make it acceptable 696 00:37:17,920 --> 00:37:21,080 Speaker 3: and available to you without just shutting the door. And 697 00:37:21,160 --> 00:37:23,720 Speaker 3: maybe we live in a nanny state too much. Maybe 698 00:37:23,760 --> 00:37:26,440 Speaker 3: we keep making excuses for people. I mean, it was 699 00:37:26,480 --> 00:37:29,520 Speaker 3: a few years ago, Craigo that I think the AMA, 700 00:37:29,640 --> 00:37:35,120 Speaker 3: the Australian Medical Association told GPS directed GPS to start 701 00:37:35,239 --> 00:37:40,239 Speaker 3: using language like fat and obese in their conversations with 702 00:37:40,360 --> 00:37:43,320 Speaker 3: patients who are overweight, because it got to the point 703 00:37:43,320 --> 00:37:46,040 Speaker 3: where it wasn't so much political correctness, but it was 704 00:37:46,239 --> 00:37:49,000 Speaker 3: seen to be you can't call someone fat, you can't 705 00:37:49,000 --> 00:37:50,080 Speaker 3: call someone obese. 706 00:37:50,160 --> 00:37:51,640 Speaker 1: You know it's not right, You're going to hurt that. 707 00:37:52,760 --> 00:37:56,200 Speaker 1: It's just identifying a state. It's not I'm not calling 708 00:37:56,320 --> 00:37:59,560 Speaker 1: you fat. It's like calling someone a cunt. I get it. 709 00:38:00,239 --> 00:38:03,839 Speaker 1: That's horrible, right, Calling someone a fuck with not good. 710 00:38:04,080 --> 00:38:07,600 Speaker 1: But identifying and recognizing that, let's go with me, so 711 00:38:07,640 --> 00:38:10,319 Speaker 1: then no one can be hurt. When I was in 712 00:38:10,320 --> 00:38:13,120 Speaker 1: my early thirties, I was one hundred and seventeen kilos, 713 00:38:13,160 --> 00:38:17,120 Speaker 1: which is nearly forty kilos. I was fat, right, That's 714 00:38:17,160 --> 00:38:20,799 Speaker 1: not an insult. That's a recognition and an awareness of 715 00:38:20,880 --> 00:38:26,000 Speaker 1: my body, of my body composition. But the problem is, see, 716 00:38:26,000 --> 00:38:29,200 Speaker 1: if someone goes, you're tall, everyone's cool. If you've got 717 00:38:29,280 --> 00:38:31,879 Speaker 1: beautiful red hair or blonde hair, great, if you've got 718 00:38:32,239 --> 00:38:35,000 Speaker 1: great fucking jaw structure, or if you've got wide sholves. 719 00:38:35,280 --> 00:38:39,120 Speaker 1: But as soon as anyone says the truth that you know, Craig, 720 00:38:39,160 --> 00:38:41,200 Speaker 1: you're fat, people are like, oh, you can't say that. 721 00:38:41,400 --> 00:38:45,560 Speaker 1: Oh well, honestly you can. And if you choose to 722 00:38:45,600 --> 00:38:49,920 Speaker 1: get offended now walking down the street pointing out to 723 00:38:50,000 --> 00:38:53,040 Speaker 1: someone that they're fat, I'm not talking about that. I'm 724 00:38:53,080 --> 00:38:57,320 Speaker 1: talking about in the context of potentially a clinical or 725 00:38:57,360 --> 00:39:01,040 Speaker 1: a health setting where we're talking about your longevity, your 726 00:39:01,080 --> 00:39:06,120 Speaker 1: health span, your lifespan, acknowledging that your current body composition 727 00:39:06,880 --> 00:39:09,960 Speaker 1: doesn't lend itself to a healthy long life. But that's 728 00:39:09,960 --> 00:39:14,120 Speaker 1: what I'm talking I actually love people, and I actually 729 00:39:14,160 --> 00:39:17,560 Speaker 1: want to be real with people and say, listen, I 730 00:39:17,920 --> 00:39:21,600 Speaker 1: care about your long term physical health more than your 731 00:39:21,680 --> 00:39:25,440 Speaker 1: feelings for the next two minutes. If all, if my 732 00:39:25,560 --> 00:39:28,239 Speaker 1: job is just to make you feel good and tell 733 00:39:28,280 --> 00:39:30,319 Speaker 1: you what you want to hear, then I'm going to 734 00:39:30,320 --> 00:39:32,959 Speaker 1: go get a new job, because fuck that. My job 735 00:39:33,040 --> 00:39:36,359 Speaker 1: is not to lie to people, mislead people, and kind 736 00:39:36,440 --> 00:39:39,400 Speaker 1: of stroke their ego or emotions for two minutes. My 737 00:39:39,520 --> 00:39:43,799 Speaker 1: job is literally to help people become empowered and resilient 738 00:39:44,120 --> 00:39:47,640 Speaker 1: and strong and aware and choose the life they want 739 00:39:47,680 --> 00:39:52,160 Speaker 1: to live and hopefully help equip them to do that. Now, 740 00:39:52,480 --> 00:39:55,320 Speaker 1: you can't live in a psychological, as you called, nanny 741 00:39:55,320 --> 00:39:59,200 Speaker 1: state for that. And it's not about self loathing. It's 742 00:39:59,239 --> 00:40:00,600 Speaker 1: about self wi awareness. 743 00:40:01,239 --> 00:40:01,440 Speaker 2: You know. 744 00:40:01,600 --> 00:40:04,880 Speaker 1: Saying I'm overweight, that's not blame and shame. That's just 745 00:40:04,920 --> 00:40:09,680 Speaker 1: fucking true. I'm overweight, I'm too fat. Cool, Okay, do 746 00:40:09,760 --> 00:40:13,120 Speaker 1: something about it. I will, thanks, you know, And that's me. 747 00:40:13,440 --> 00:40:17,240 Speaker 1: That's this is just a subject that I've been dealing 748 00:40:17,280 --> 00:40:19,359 Speaker 1: with for forty years, and I've just seen it get 749 00:40:19,400 --> 00:40:22,520 Speaker 1: worse and worse and worse. I've seen Australians get less 750 00:40:22,560 --> 00:40:26,520 Speaker 1: and less healthy, more and more dysfunctional, more disease. The 751 00:40:26,560 --> 00:40:29,000 Speaker 1: only reason, in fact, we're not living longer now, we've 752 00:40:29,000 --> 00:40:32,319 Speaker 1: started to go backwards first time in history. But the 753 00:40:32,360 --> 00:40:34,319 Speaker 1: only reason we live as long as we do in 754 00:40:34,400 --> 00:40:37,920 Speaker 1: many instances is just because we've got better and better medication. 755 00:40:38,200 --> 00:40:41,160 Speaker 1: It's not because people are doing shit healthier, you know. 756 00:40:41,200 --> 00:40:44,280 Speaker 1: But now what we've seen is the actual health span, 757 00:40:44,760 --> 00:40:47,080 Speaker 1: the period of time of a person's life, percentage of 758 00:40:47,120 --> 00:40:51,239 Speaker 1: time where they are healthy, has reduced dramatically. Yeah, they're 759 00:40:51,239 --> 00:40:54,840 Speaker 1: living until they're eighty five, but from sixty they're fucked. 760 00:40:55,280 --> 00:40:56,960 Speaker 2: You know. They're medicated up the. 761 00:40:56,880 --> 00:41:01,200 Speaker 3: Wazoo, and people born in nineteen thirty six are more 762 00:41:01,320 --> 00:41:04,160 Speaker 3: likely to live to one hundred than people after that 763 00:41:04,280 --> 00:41:05,040 Speaker 3: time period. 764 00:41:05,360 --> 00:41:07,239 Speaker 2: So as the rest. Yeah, that's right. 765 00:41:07,360 --> 00:41:11,640 Speaker 3: Our longevity and also quality of life is reducing, you know. Interestingly, 766 00:41:12,120 --> 00:41:14,279 Speaker 3: someone said to me the other day, and others not tech, 767 00:41:14,320 --> 00:41:15,759 Speaker 3: but they said, oh, you're too thin. 768 00:41:17,520 --> 00:41:19,520 Speaker 2: Hah. Yeah. 769 00:41:19,640 --> 00:41:21,880 Speaker 1: I got told that too by a doctor by my 770 00:41:22,040 --> 00:41:24,439 Speaker 1: ear guy recently. You're too thin. 771 00:41:25,440 --> 00:41:28,080 Speaker 2: Yeah, you know, and I'm like, I know he meant. 772 00:41:27,880 --> 00:41:32,160 Speaker 1: Well, but it's like somebody who has fucking bodiedy morpha 773 00:41:32,239 --> 00:41:35,560 Speaker 1: and spent his life trying to be in good shape 774 00:41:35,880 --> 00:41:38,399 Speaker 1: and then trying not to be fat, and then some 775 00:41:38,440 --> 00:41:41,160 Speaker 1: motherfucker goes, you're too he reckons. 776 00:41:41,200 --> 00:41:43,480 Speaker 2: That's God bless him. I won't say his name. 777 00:41:43,520 --> 00:41:46,440 Speaker 1: He's actually a very good dude, but he thinks that 778 00:41:46,520 --> 00:41:51,120 Speaker 1: literally could be contributing to my fucked ears. How funny is. 779 00:41:51,040 --> 00:41:54,920 Speaker 3: That when you were one hundred and seventeen kilo's what 780 00:41:55,719 --> 00:41:58,839 Speaker 3: your AI mirror would have said to you when it 781 00:41:58,920 --> 00:42:00,000 Speaker 3: was describing you. 782 00:42:00,960 --> 00:42:04,320 Speaker 1: Would have told me that I was stocky and well 783 00:42:04,360 --> 00:42:10,759 Speaker 1: built and strong and powerful, and I wish Yeah, I 784 00:42:10,760 --> 00:42:12,600 Speaker 1: probably would have tuned right in. I would have gone, 785 00:42:12,600 --> 00:42:13,279 Speaker 1: you right, bro. 786 00:42:13,760 --> 00:42:13,960 Speaker 2: No. 787 00:42:14,080 --> 00:42:16,480 Speaker 3: The reason I'm asking this is there is some this 788 00:42:16,520 --> 00:42:19,160 Speaker 3: is great tech. This is an AI mirror, we're calling 789 00:42:19,160 --> 00:42:22,960 Speaker 3: it AI mirrors, but smart devices that are helping blind 790 00:42:23,080 --> 00:42:28,040 Speaker 3: people see themselves. So, for example, originally it was things 791 00:42:28,200 --> 00:42:32,600 Speaker 3: like helping blind people navigate the world, so you I 792 00:42:32,880 --> 00:42:35,839 Speaker 3: and smart tech to see the world around them, but 793 00:42:36,160 --> 00:42:38,880 Speaker 3: more increasingly people were also using them, so women were 794 00:42:38,920 --> 00:42:43,120 Speaker 3: putting on their makeup using these AI devices, so they too, wow, 795 00:42:43,760 --> 00:42:47,399 Speaker 3: and they get assistance because they can't see themselves, they're 796 00:42:47,400 --> 00:42:50,319 Speaker 3: getting assistance with this AI tech to help them get 797 00:42:50,360 --> 00:42:52,200 Speaker 3: ready in the morning, you know, spend your twenty minutes 798 00:42:52,239 --> 00:42:53,879 Speaker 3: putting on your makeup and stuff like that. 799 00:42:54,120 --> 00:42:55,320 Speaker 2: I thought it was really cool. 800 00:42:56,360 --> 00:42:58,480 Speaker 3: There's an article with this woman by the name of 801 00:42:58,560 --> 00:43:02,520 Speaker 3: Lucy Edwards who's blind, and she's a content creator and 802 00:43:02,960 --> 00:43:06,359 Speaker 3: so she basically is, you know, she's been showing her 803 00:43:06,400 --> 00:43:09,880 Speaker 3: passion for beauty and styling, which is interesting because you know, 804 00:43:10,040 --> 00:43:12,200 Speaker 3: for a long time she was quoted as saying that, 805 00:43:12,600 --> 00:43:15,400 Speaker 3: you know, being a blind person, you know you're beautiful 806 00:43:15,440 --> 00:43:16,239 Speaker 3: on the inside. 807 00:43:17,000 --> 00:43:17,879 Speaker 2: You know, it doesn't care. 808 00:43:19,440 --> 00:43:24,800 Speaker 4: That's kind of like a terrible backhanded compliment. It's like, ah, 809 00:43:25,080 --> 00:43:27,960 Speaker 4: it's like when mom goes, yeah, but you're beautiful to me. 810 00:43:28,120 --> 00:43:32,400 Speaker 4: I'm like, ah, God, well, this time is kind of 811 00:43:32,480 --> 00:43:35,280 Speaker 4: want to be beautiful to you, for God's sakes. 812 00:43:35,719 --> 00:43:39,440 Speaker 3: This company called Vision was one of the first companies 813 00:43:39,520 --> 00:43:43,120 Speaker 3: to use artificial intelligence for blind people, and they started 814 00:43:43,160 --> 00:43:46,239 Speaker 3: in twenty seventeen, but it've come a long way since then. 815 00:43:46,640 --> 00:43:51,560 Speaker 3: And basically they they thought initially that what would happen 816 00:43:51,680 --> 00:43:53,719 Speaker 3: is that their app would be used for people to 817 00:43:53,840 --> 00:43:57,120 Speaker 3: navigate the world, and then they were really surprised, you know, 818 00:43:57,200 --> 00:43:59,520 Speaker 3: like using it to read letters or go shopping and 819 00:43:59,560 --> 00:44:01,759 Speaker 3: all that sort of stuff. But they started to find 820 00:44:01,760 --> 00:44:04,200 Speaker 3: that a lot of their customers, we're using it to 821 00:44:04,239 --> 00:44:05,680 Speaker 3: coordinate their outfits. 822 00:44:05,960 --> 00:44:07,280 Speaker 2: So what am I going to wear today? 823 00:44:07,400 --> 00:44:10,400 Speaker 3: Does this pair of pants clash with the top that 824 00:44:10,440 --> 00:44:11,000 Speaker 3: I'm wearing. 825 00:44:11,239 --> 00:44:14,440 Speaker 1: Isn't that cool? I thought that's amazing. Can I just 826 00:44:14,520 --> 00:44:20,680 Speaker 1: ask is the app? Is it glasses? Is it something 827 00:44:20,719 --> 00:44:21,680 Speaker 1: that pins onto you? 828 00:44:21,719 --> 00:44:22,239 Speaker 2: What is it? 829 00:44:22,480 --> 00:44:24,080 Speaker 3: Well, you can there's an app for the phone, so 830 00:44:24,120 --> 00:44:26,279 Speaker 3: he just turned the front facing camera to you. But 831 00:44:26,360 --> 00:44:29,280 Speaker 3: if you're navigating the world and using it to read something, 832 00:44:29,480 --> 00:44:32,280 Speaker 3: it could be smart glasses as well. So because smart 833 00:44:32,280 --> 00:44:35,640 Speaker 3: glasses now you can just wear and it will effectively 834 00:44:35,719 --> 00:44:38,160 Speaker 3: tell you what's going on. Actually, I've got to I'm 835 00:44:38,160 --> 00:44:39,880 Speaker 3: catching up for lunch tomorrow with a good friend of 836 00:44:39,880 --> 00:44:41,880 Speaker 3: mine who's blind. I'm going to ask him about this 837 00:44:41,960 --> 00:44:44,719 Speaker 3: and see because he's married, so I don't know how 838 00:44:44,760 --> 00:44:46,799 Speaker 3: and I've never asked him whether his wife tells him 839 00:44:46,840 --> 00:44:48,560 Speaker 3: what to wear in the morning or whether. 840 00:44:48,360 --> 00:44:50,000 Speaker 2: He just chucks out myself. 841 00:44:50,200 --> 00:44:52,720 Speaker 3: So I'll have to ask him that tomorrow because they're 842 00:44:52,760 --> 00:44:55,439 Speaker 3: really good friends and I've never really thought that way. 843 00:44:55,719 --> 00:44:56,600 Speaker 2: It'sn't that interesting. 844 00:44:57,719 --> 00:44:59,440 Speaker 1: I don't ever want to be blind and shout out 845 00:44:59,440 --> 00:45:02,920 Speaker 1: to our blind listeners, are well done you for navigating 846 00:45:02,960 --> 00:45:03,400 Speaker 1: the world. 847 00:45:04,960 --> 00:45:07,680 Speaker 3: Someone told me from Vision Australia once that one of 848 00:45:07,719 --> 00:45:10,560 Speaker 3: the terms that they really help hate people using is 849 00:45:10,800 --> 00:45:13,960 Speaker 3: you know, the term vision impaired and visually impaired. That's 850 00:45:14,080 --> 00:45:17,560 Speaker 3: very different. So impaired they can't see. But if someone's 851 00:45:17,640 --> 00:45:19,240 Speaker 3: visually impaired, they just look bad. 852 00:45:20,120 --> 00:45:23,080 Speaker 2: What do you think about it? Terrible? But that's how 853 00:45:23,600 --> 00:45:26,920 Speaker 2: you see. What do you think about it? Vision impaired? 854 00:45:27,280 --> 00:45:30,600 Speaker 1: But whoever says someone's visually impaired, they. 855 00:45:30,400 --> 00:45:32,399 Speaker 2: Do all the time. It's said in the meeting. 856 00:45:32,600 --> 00:45:36,279 Speaker 3: You mean as a mistake, So yes, yeah, that's so, 857 00:45:36,280 --> 00:45:38,719 Speaker 3: it's a common mistake that people say they're visually You 858 00:45:38,719 --> 00:45:41,520 Speaker 3: know that someone is visually impaired and they're not visually impaired, 859 00:45:41,560 --> 00:45:42,560 Speaker 3: they're vision impaired. 860 00:45:43,000 --> 00:45:45,759 Speaker 1: Well you could say to someone your vision impaired, which 861 00:45:45,800 --> 00:45:48,600 Speaker 1: is probably a bonus right now because I'm visually impaired, 862 00:45:49,160 --> 00:45:53,040 Speaker 1: so lucky you you know, I I know we've got 863 00:45:53,040 --> 00:45:54,640 Speaker 1: a list that we may or may not get through 864 00:45:55,280 --> 00:45:57,799 Speaker 1: tell me about and this is none your list, But 865 00:45:57,800 --> 00:46:01,400 Speaker 1: I'm sure you know I'm quite in interested in the 866 00:46:01,520 --> 00:46:04,960 Speaker 1: rayband type of glasses that have a camera that have 867 00:46:05,080 --> 00:46:09,759 Speaker 1: been around for a few years. It seems like, I 868 00:46:09,760 --> 00:46:11,800 Speaker 1: don't know, they're in a bit of a holding pattern. 869 00:46:11,840 --> 00:46:15,360 Speaker 1: Maybe they're a bit better than they were. But so 870 00:46:15,520 --> 00:46:19,600 Speaker 1: they essentially can be a phone and the internet and 871 00:46:19,640 --> 00:46:23,759 Speaker 1: a recording device, video camera, all of it in one 872 00:46:23,880 --> 00:46:24,879 Speaker 1: am I correct on that. 873 00:46:25,360 --> 00:46:28,120 Speaker 3: Yes, yes, so look they do pair up with your 874 00:46:28,160 --> 00:46:31,239 Speaker 3: phone at the moment, but you means that you as 875 00:46:31,280 --> 00:46:33,920 Speaker 3: you're walking along the street, you could start recording something. 876 00:46:34,000 --> 00:46:36,800 Speaker 3: But even more so, it can be looking at things 877 00:46:36,800 --> 00:46:41,800 Speaker 3: and analyzing them and providing information. So turn by turn directions, 878 00:46:41,840 --> 00:46:44,040 Speaker 3: it could say, you know, turn left here. It could 879 00:46:44,080 --> 00:46:48,800 Speaker 3: be paired up with your smartphone while you're using directional 880 00:46:49,160 --> 00:46:52,120 Speaker 3: maps and all that sort of thing. But I guess 881 00:46:52,160 --> 00:46:54,520 Speaker 3: one of the big things was the privacy concerns having 882 00:46:54,520 --> 00:46:56,960 Speaker 3: a camera built in. When's the camera active? So all 883 00:46:56,960 --> 00:46:59,560 Speaker 3: of these smart devices have a little white light that 884 00:46:59,640 --> 00:47:02,320 Speaker 3: comes on when the camera is being used, the video 885 00:47:02,520 --> 00:47:03,360 Speaker 3: or the still phone. 886 00:47:03,400 --> 00:47:05,720 Speaker 1: Ah, that's good, that's good. 887 00:47:05,920 --> 00:47:08,279 Speaker 2: Otherwise you look like what I don't have one, but. 888 00:47:08,320 --> 00:47:12,360 Speaker 1: You would look like creepy creepster just fucking being able 889 00:47:12,400 --> 00:47:14,759 Speaker 1: to look at someone and record them. 890 00:47:14,760 --> 00:47:18,320 Speaker 2: And yeah, yeah, yeah, I call them perve glasses. 891 00:47:18,520 --> 00:47:20,120 Speaker 3: It's you know, you know the people who buy them, 892 00:47:20,160 --> 00:47:23,000 Speaker 3: the people who used to buy the reflective ones that 893 00:47:23,160 --> 00:47:25,759 Speaker 3: I'm kidding. You know how people had reflective sunnis and 894 00:47:25,800 --> 00:47:27,880 Speaker 3: you always were a bit you know you thought, No. 895 00:47:28,800 --> 00:47:31,280 Speaker 2: I tried a pair of those, I looked. 896 00:47:31,360 --> 00:47:33,239 Speaker 1: I probably look like a wanker all the time, but 897 00:47:33,920 --> 00:47:35,280 Speaker 1: fucking a bigger anker. 898 00:47:35,680 --> 00:47:37,920 Speaker 2: Yeah, they smartt better. 899 00:47:38,160 --> 00:47:40,520 Speaker 3: You'll eventually have heads up display that will give you 900 00:47:40,600 --> 00:47:43,120 Speaker 3: real time translations. I know we've spoken about this before, 901 00:47:43,160 --> 00:47:46,479 Speaker 3: but I'm pretty excited because I feel that down the track, 902 00:47:46,600 --> 00:47:49,440 Speaker 3: I would like to use AI smart glasses to accompany 903 00:47:49,440 --> 00:47:51,719 Speaker 3: me throughout the day and say I don't forget, you've 904 00:47:51,719 --> 00:47:53,919 Speaker 3: got to do this. And during your meeting, the key 905 00:47:53,960 --> 00:47:56,400 Speaker 3: points that came out of it was this, this and 906 00:47:56,480 --> 00:47:59,319 Speaker 3: this that that works for me. I reckon I could 907 00:47:59,360 --> 00:48:02,360 Speaker 3: do that, but it's the privacy issue and where that data. 908 00:48:02,280 --> 00:48:04,840 Speaker 2: Is going to be stored is what is Chris crucial 909 00:48:04,880 --> 00:48:05,120 Speaker 2: for me? 910 00:48:05,960 --> 00:48:07,919 Speaker 1: Imagine if you can you know you're in a one 911 00:48:07,920 --> 00:48:10,920 Speaker 1: hour business meeting or board meeting or whatever it is. 912 00:48:11,520 --> 00:48:15,600 Speaker 1: You've got your glasses on, you're recording, and then you 913 00:48:15,680 --> 00:48:18,279 Speaker 1: say later on you're like, oh, what did Brian say 914 00:48:18,320 --> 00:48:20,920 Speaker 1: about that second deal? And you go bring up the 915 00:48:21,040 --> 00:48:24,400 Speaker 1: audio where Brian talks about that second deal. It's about 916 00:48:24,440 --> 00:48:27,479 Speaker 1: halfway through the meeting, and it just brings up how 917 00:48:27,520 --> 00:48:28,359 Speaker 1: cool would that be? 918 00:48:28,960 --> 00:48:31,680 Speaker 2: Now you can do that? Now? Wow? 919 00:48:32,840 --> 00:48:37,279 Speaker 1: And then go also print that or send that to 920 00:48:37,320 --> 00:48:40,080 Speaker 1: my email, send it as an email to my email 921 00:48:40,480 --> 00:48:43,160 Speaker 1: so that I've got a written copy of it as well. 922 00:48:43,480 --> 00:48:47,479 Speaker 3: Transcribe it. That's what Brian said. Send it back to Brian. Hey, Brian, Hell, 923 00:48:48,680 --> 00:48:51,279 Speaker 3: that's the problem. The problem is not the technology is 924 00:48:51,320 --> 00:48:55,880 Speaker 3: not there. The problems me the problems. I'm still sending 925 00:48:55,920 --> 00:48:58,440 Speaker 3: fucking carrier pigeons and writing notes in crayon. 926 00:49:00,040 --> 00:49:01,160 Speaker 2: It's pretty fully. 927 00:49:01,200 --> 00:49:04,040 Speaker 1: Am I the right person for this show? It's dawning 928 00:49:04,120 --> 00:49:04,400 Speaker 1: on me. 929 00:49:05,080 --> 00:49:08,560 Speaker 3: Absolute right person for this show because you ask great questions. 930 00:49:08,760 --> 00:49:15,919 Speaker 1: Oh god, God, yeah, I love I will say though 931 00:49:16,000 --> 00:49:19,399 Speaker 1: I do love tech, like the I love the fact 932 00:49:19,440 --> 00:49:24,880 Speaker 1: that I can drive. Obviously, I'm I think my listeners now, 933 00:49:24,880 --> 00:49:26,839 Speaker 1: I drive to Ronn and Mary's, my parents a lot, 934 00:49:26,880 --> 00:49:29,120 Speaker 1: and it's four hours each time, and there's not one 935 00:49:29,160 --> 00:49:32,000 Speaker 1: trip that I have where I don't have at least 936 00:49:32,080 --> 00:49:34,080 Speaker 1: one conversation. 937 00:49:33,480 --> 00:49:35,720 Speaker 2: And I mean back and forth multiple. 938 00:49:35,280 --> 00:49:40,560 Speaker 1: Times with AI about something where I go, you know, 939 00:49:40,800 --> 00:49:42,879 Speaker 1: I literally say hi to it and goes, hey, Craig, 940 00:49:42,920 --> 00:49:44,880 Speaker 1: what's up? And I go, I want to chat to 941 00:49:44,880 --> 00:49:47,160 Speaker 1: you about something? And then I just propose an idea 942 00:49:47,280 --> 00:49:50,240 Speaker 1: or a concept or I'm thinking about this, thinking about. 943 00:49:50,040 --> 00:49:51,080 Speaker 2: Doing a workshop on that. 944 00:49:51,880 --> 00:49:54,080 Speaker 1: I've got a you know, I've got this problem. 945 00:49:54,120 --> 00:49:56,440 Speaker 2: I want to just it's so good. 946 00:49:56,840 --> 00:49:59,279 Speaker 1: And it's not that it gets everything right or I 947 00:49:59,360 --> 00:50:04,919 Speaker 1: operational everything it thinks or suggests, but fucking hell, it's 948 00:50:05,160 --> 00:50:10,840 Speaker 1: like having a high level conversation with a pretty fucking 949 00:50:10,920 --> 00:50:14,080 Speaker 1: smart person whenever you want and they don't get tired. 950 00:50:14,880 --> 00:50:16,640 Speaker 3: And I think the key thing is going to be 951 00:50:16,880 --> 00:50:19,560 Speaker 3: not just the aspects of what you're talking about, but 952 00:50:19,719 --> 00:50:22,920 Speaker 3: is once you incorporate history, so it knew what you 953 00:50:22,960 --> 00:50:25,000 Speaker 3: did last week, but it also knew what you did 954 00:50:25,040 --> 00:50:27,680 Speaker 3: three and four and five weeks ago. That's going to 955 00:50:27,719 --> 00:50:31,239 Speaker 3: help streamline the processes that you make, the decisions that 956 00:50:31,280 --> 00:50:33,759 Speaker 3: you make as well. I think that having that there, 957 00:50:33,960 --> 00:50:36,400 Speaker 3: and I think in the terms of you know what 958 00:50:36,440 --> 00:50:39,840 Speaker 3: if someone has dementia or they're in the early stages 959 00:50:39,880 --> 00:50:42,200 Speaker 3: of dementia, this could be really handy for them. 960 00:50:42,440 --> 00:50:42,640 Speaker 2: You know. 961 00:50:43,160 --> 00:50:46,200 Speaker 3: I know when Mums started to kind of go down 962 00:50:46,239 --> 00:50:48,480 Speaker 3: that rabbit hole, you know, we were trying to encourage her. 963 00:50:48,520 --> 00:50:51,160 Speaker 3: We put signs on the fridge, you know, little notes 964 00:50:51,200 --> 00:50:55,840 Speaker 3: for reminder. But that AI company and I kind of 965 00:50:55,840 --> 00:50:58,600 Speaker 3: think about this too. As a person who lives by themselves, 966 00:50:58,920 --> 00:51:00,800 Speaker 3: I think it would be great to have that AI 967 00:51:00,920 --> 00:51:04,279 Speaker 3: companion helping in assisting in what I was doing. And 968 00:51:04,640 --> 00:51:06,719 Speaker 3: I think that if we can use this tech to 969 00:51:06,719 --> 00:51:09,520 Speaker 3: help people stay home longer and safer, to be in 970 00:51:09,560 --> 00:51:12,440 Speaker 3: their own home, to be protected, to be checked on, 971 00:51:12,560 --> 00:51:14,080 Speaker 3: all that sort of, I think it's great. I think 972 00:51:14,160 --> 00:51:17,920 Speaker 3: it's technology being used to help people is always wonderful. 973 00:51:19,000 --> 00:51:19,400 Speaker 2: And then a. 974 00:51:19,400 --> 00:51:24,440 Speaker 1: Podcasts the other day with a cardiologist who's right up there, 975 00:51:25,560 --> 00:51:30,560 Speaker 1: great guy, good business, but very like he wants to 976 00:51:30,600 --> 00:51:32,680 Speaker 1: work with people, or he wants his team to work 977 00:51:32,680 --> 00:51:35,320 Speaker 1: with people before they have massive issues. 978 00:51:35,400 --> 00:51:35,560 Speaker 2: Right. 979 00:51:35,640 --> 00:51:39,920 Speaker 1: He's ironically his goal is not to see people on 980 00:51:39,960 --> 00:51:43,000 Speaker 1: the operating table. Like I really liked him. His name's 981 00:51:43,360 --> 00:51:49,040 Speaker 1: doctor David O'Donnell, and I was driving and I was 982 00:51:50,360 --> 00:51:52,560 Speaker 1: I generally need to be sitting down about quarter of 983 00:51:52,600 --> 00:51:54,600 Speaker 1: an hour before the podcast to at least get a 984 00:51:54,640 --> 00:51:56,440 Speaker 1: bit of an insight into I look at their bio, 985 00:51:56,520 --> 00:51:59,120 Speaker 1: I look at their maybe five minutes of video just 986 00:51:59,160 --> 00:52:01,640 Speaker 1: to get a but I want enough, but not too much, 987 00:52:01,680 --> 00:52:03,600 Speaker 1: because I generally don't want to know. 988 00:52:03,600 --> 00:52:05,160 Speaker 2: The answers to the questions I have. 989 00:52:05,480 --> 00:52:11,160 Speaker 1: Right, And so I was running late and I said 990 00:52:11,400 --> 00:52:15,759 Speaker 1: to CHATGPT, so I'm interviewing this guy. This is who 991 00:52:15,760 --> 00:52:19,520 Speaker 1: he is, this is what he does. I haven't prepared. 992 00:52:20,239 --> 00:52:21,960 Speaker 1: I want you to come up with a snapshot of 993 00:52:22,000 --> 00:52:25,439 Speaker 1: who he is and what he does, and I want 994 00:52:25,480 --> 00:52:27,760 Speaker 1: you to write, come up with ten to twenty questions 995 00:52:27,800 --> 00:52:30,640 Speaker 1: that you know I may or may not use, and 996 00:52:32,160 --> 00:52:35,120 Speaker 1: then it comes up in total and then it goes, sure, Craig, 997 00:52:35,680 --> 00:52:41,680 Speaker 1: I'll do a typ style intro and typ style you know, 998 00:52:42,080 --> 00:52:45,080 Speaker 1: like you centric you know, and it brings up this 999 00:52:45,160 --> 00:52:49,840 Speaker 1: thing that is fucking amazing. Turns out I really didn't 1000 00:52:49,920 --> 00:52:52,239 Speaker 1: use any of it because that kind of gave me 1001 00:52:52,320 --> 00:52:54,839 Speaker 1: a sense of who he was. But just in terms 1002 00:52:54,880 --> 00:53:00,000 Speaker 1: of what it can produce in one minute, where you go, man, 1003 00:53:00,000 --> 00:53:03,840 Speaker 1: this is depending on the situation and the application. This 1004 00:53:03,920 --> 00:53:06,600 Speaker 1: stuff is life changing, if not at the very least 1005 00:53:07,280 --> 00:53:09,200 Speaker 1: massively time saving. 1006 00:53:09,719 --> 00:53:10,319 Speaker 2: I feel like I. 1007 00:53:10,280 --> 00:53:11,960 Speaker 3: Want to pick up my phone and call you to 1008 00:53:12,000 --> 00:53:14,759 Speaker 3: see if you will actually answer. And I've just been 1009 00:53:14,840 --> 00:53:18,440 Speaker 3: talking to chat GPT all this time, just impersonating. 1010 00:53:17,760 --> 00:53:19,920 Speaker 2: You exactly exactly. 1011 00:53:19,960 --> 00:53:22,840 Speaker 1: You never know, do you know that you and I 1012 00:53:22,840 --> 00:53:24,200 Speaker 1: have been chatting for Nellian out? 1013 00:53:24,200 --> 00:53:24,279 Speaker 4: All? 1014 00:53:24,360 --> 00:53:25,359 Speaker 2: Right, let's do one or two. 1015 00:53:25,440 --> 00:53:27,800 Speaker 1: You pick whatever one you want to do, rather me pluck, 1016 00:53:28,360 --> 00:53:31,040 Speaker 1: Let's do one that tells light you up. 1017 00:53:31,000 --> 00:53:32,800 Speaker 2: A little bit. No, I don want it. 1018 00:53:32,840 --> 00:53:37,239 Speaker 3: This is a community service one. Okay. It's been discovered 1019 00:53:37,239 --> 00:53:41,480 Speaker 3: that people who are on older iPhone so the iPhone eight, 1020 00:53:41,880 --> 00:53:44,920 Speaker 3: the eight plus and the X may not connect to 1021 00:53:44,920 --> 00:53:49,560 Speaker 3: Telstra's network after a recent Apple update of their phones, 1022 00:53:49,880 --> 00:53:53,120 Speaker 3: including to triple zero. And I guess given the temperatures 1023 00:53:53,160 --> 00:53:55,520 Speaker 3: and what's going on in places like Victoria and New 1024 00:53:55,560 --> 00:54:00,200 Speaker 3: South Wales, this is kind of crucial. So may not 1025 00:54:00,200 --> 00:54:02,440 Speaker 3: be able to make that SOS call if you need to. 1026 00:54:02,640 --> 00:54:05,600 Speaker 3: And it's just old tech and this came up with 1027 00:54:05,640 --> 00:54:09,239 Speaker 3: Samsung last year, remember with Optus and Samsung. So I 1028 00:54:09,280 --> 00:54:12,480 Speaker 3: think just checking your phone is compatible and making sure, 1029 00:54:12,800 --> 00:54:16,520 Speaker 3: but sometimes you can get what we call bricked if 1030 00:54:16,560 --> 00:54:18,960 Speaker 3: your phone doesn't update and it's an older phone. And 1031 00:54:19,200 --> 00:54:21,520 Speaker 3: I kind of frustrates me that, you know, I've got 1032 00:54:21,520 --> 00:54:23,319 Speaker 3: a car that's thirty two years old and I can 1033 00:54:23,360 --> 00:54:26,439 Speaker 3: still drive, but I certainly don't have a phone that's 1034 00:54:26,440 --> 00:54:29,359 Speaker 3: thirty two years old, because you know, after about two 1035 00:54:29,360 --> 00:54:31,160 Speaker 3: hours and thirty five seconds, you need to get the 1036 00:54:31,200 --> 00:54:31,800 Speaker 3: new phone. 1037 00:54:31,880 --> 00:54:32,080 Speaker 2: Now. 1038 00:54:32,440 --> 00:54:35,040 Speaker 3: It does frustrate me that a phone that was working 1039 00:54:35,120 --> 00:54:38,040 Speaker 3: yesterday suddenly might not work today. So if you've got 1040 00:54:38,040 --> 00:54:41,279 Speaker 3: an iPhone eight, then just check it out, make sure 1041 00:54:41,320 --> 00:54:42,560 Speaker 3: that it's got full functionality. 1042 00:54:42,560 --> 00:54:45,160 Speaker 2: If you're on the Telstray network, here's that. 1043 00:54:45,360 --> 00:54:49,640 Speaker 1: I think that's a great community service announcement. Also, I'm 1044 00:54:49,680 --> 00:54:52,239 Speaker 1: worried that now everyone's going to ring Triple zero to 1045 00:54:52,239 --> 00:54:53,000 Speaker 1: see if they can. 1046 00:54:54,520 --> 00:54:57,440 Speaker 2: Yeah, please don't, please don't do that. Not on it. 1047 00:54:57,560 --> 00:54:59,480 Speaker 2: They go, what's your emergency? Please? 1048 00:54:59,640 --> 00:55:03,239 Speaker 1: Ah, just checking that my phone can reach you, thanks Dave. 1049 00:55:04,600 --> 00:55:07,040 Speaker 2: Maybe a Telstra and check. 1050 00:55:06,840 --> 00:55:11,760 Speaker 1: With yeah, yeah, don't please don't ring triples hero unless 1051 00:55:11,800 --> 00:55:13,279 Speaker 1: you actually have an emergency. 1052 00:55:13,680 --> 00:55:16,600 Speaker 2: Imagine that it's on the news tomorrow night. It was 1053 00:55:16,760 --> 00:55:17,440 Speaker 2: like the. 1054 00:55:17,440 --> 00:55:21,520 Speaker 1: Emergency servers overwhelmed with calls from FUK whit seeing that 1055 00:55:21,560 --> 00:55:22,440 Speaker 1: their phoneworks. 1056 00:55:23,560 --> 00:55:25,640 Speaker 3: Hey, have you ever used the Apple air tags? I 1057 00:55:25,680 --> 00:55:27,680 Speaker 3: know you're in the Apple ecosystem for a lot of 1058 00:55:27,719 --> 00:55:29,680 Speaker 3: stuff that you've got. 1059 00:55:29,760 --> 00:55:32,200 Speaker 2: I have not. Just remind me of what that is. 1060 00:55:32,680 --> 00:55:35,760 Speaker 3: So the air tags are literally a little circular disc 1061 00:55:36,120 --> 00:55:38,760 Speaker 3: that you can touch to your luggage, to your dog, 1062 00:55:38,920 --> 00:55:41,560 Speaker 3: to your best friend, and then you'll. 1063 00:55:41,719 --> 00:55:42,480 Speaker 2: Where they are. 1064 00:55:43,520 --> 00:55:45,000 Speaker 1: Where do you put it on your best friend? On 1065 00:55:45,040 --> 00:55:50,879 Speaker 1: their forehead underneath their scrotum? We're super glued? Like, where 1066 00:55:50,880 --> 00:55:52,440 Speaker 1: should I put one on you? 1067 00:55:52,440 --> 00:55:54,520 Speaker 2: You lick the back of it, just press it to 1068 00:55:54,600 --> 00:55:55,000 Speaker 2: their head? 1069 00:55:55,480 --> 00:55:58,399 Speaker 1: Fuk and hell, good luck sticking on my head because 1070 00:55:58,480 --> 00:55:59,760 Speaker 1: it's a vast expanse. 1071 00:56:00,440 --> 00:56:02,400 Speaker 2: There's a lot of real estate on both of our heads, 1072 00:56:02,400 --> 00:56:03,680 Speaker 2: isn't there. We could go. 1073 00:56:06,080 --> 00:56:07,800 Speaker 1: Yeah, I'm just going to a little bit of super 1074 00:56:07,840 --> 00:56:10,240 Speaker 1: glue and I'm going to have it a scrotal tag 1075 00:56:10,400 --> 00:56:10,759 Speaker 1: for you. 1076 00:56:12,400 --> 00:56:12,600 Speaker 2: Hey. 1077 00:56:12,800 --> 00:56:15,960 Speaker 3: So I had this instance where when I traveled overseas, 1078 00:56:16,440 --> 00:56:18,279 Speaker 3: what three or four years ago was the last big 1079 00:56:18,320 --> 00:56:20,480 Speaker 3: overseas trip. I was with a maid of mine and 1080 00:56:20,520 --> 00:56:22,920 Speaker 3: we were stuck at one of a German air but 1081 00:56:22,960 --> 00:56:25,880 Speaker 3: I think it might have been Frankfurt Airport, and the 1082 00:56:25,920 --> 00:56:26,640 Speaker 3: flight had been. 1083 00:56:26,480 --> 00:56:28,600 Speaker 2: Delayed and delayed and delayed. 1084 00:56:28,160 --> 00:56:30,640 Speaker 3: And we're saying, well, what's happening. Are we about to board? 1085 00:56:30,680 --> 00:56:33,680 Speaker 3: What's going on? And the guy at the counter said, oh, yeah, 1086 00:56:33,680 --> 00:56:36,239 Speaker 3: the baggage is already on the plane. We're ready to 1087 00:56:36,560 --> 00:56:38,680 Speaker 3: have you across. And my mate pulls up his phone 1088 00:56:38,680 --> 00:56:41,160 Speaker 3: and says, no, they're not. There's the plane over there. 1089 00:56:41,360 --> 00:56:44,080 Speaker 3: My baggage is still over here because he had his 1090 00:56:44,120 --> 00:56:47,400 Speaker 3: Apple air Tag and it was hilarious. Yeah, I know, 1091 00:56:47,440 --> 00:56:49,920 Speaker 3: it's great, isn't it. But the new version of the 1092 00:56:49,920 --> 00:56:52,840 Speaker 3: Apple air tag is now version two is going to 1093 00:56:52,840 --> 00:56:56,279 Speaker 3: have a better range, and it's going to mean that 1094 00:56:56,680 --> 00:56:59,160 Speaker 3: because the way that it works, which is kind of cool, 1095 00:56:59,719 --> 00:57:03,400 Speaker 3: is if the air tag connects to your phone by Bluetooth, 1096 00:57:03,920 --> 00:57:07,000 Speaker 3: then at a certain points you're going to lose connectivity 1097 00:57:07,080 --> 00:57:10,600 Speaker 3: because the tag is further away from your phone. Then 1098 00:57:10,680 --> 00:57:14,279 Speaker 3: you can, you know, have a range connection too. But 1099 00:57:14,360 --> 00:57:17,600 Speaker 3: what it then does is it searches for other iPhones 1100 00:57:17,640 --> 00:57:21,480 Speaker 3: and it piggybacks off their signal and then retransmits that 1101 00:57:21,640 --> 00:57:25,080 Speaker 3: back to you via the network. So effectively it forms 1102 00:57:25,080 --> 00:57:27,120 Speaker 3: this kind of giant web. So if you imagine a 1103 00:57:27,120 --> 00:57:30,080 Speaker 3: picture of all the iPhones in Victoria and then you 1104 00:57:30,120 --> 00:57:33,000 Speaker 3: connect all the dots. That's the mesh that it's using. 1105 00:57:33,080 --> 00:57:35,840 Speaker 3: So when it drops out from one person's iPhone, it 1106 00:57:35,880 --> 00:57:38,640 Speaker 3: then reconnects to another iPhone. And that's what's made this 1107 00:57:39,200 --> 00:57:44,160 Speaker 3: such a really great gadget because they're cheap, and so 1108 00:57:44,280 --> 00:57:47,440 Speaker 3: the new version that's coming out is going to be 1109 00:57:47,480 --> 00:57:49,000 Speaker 3: a heck of a lot better and it's going to 1110 00:57:49,560 --> 00:57:52,920 Speaker 3: you know, it's a great bluetooth tracker that I think 1111 00:57:52,920 --> 00:57:56,000 Speaker 3: people in the Apple ecosystem are really getting the benefits from. 1112 00:57:56,080 --> 00:57:58,440 Speaker 2: Yes, yes, you with you're at the back. 1113 00:57:59,080 --> 00:58:01,640 Speaker 1: Yes, I just put my hand up everyone like a 1114 00:58:01,680 --> 00:58:03,280 Speaker 1: fucking year four student. 1115 00:58:04,240 --> 00:58:08,280 Speaker 2: How much of these grasshopper either about twenty five bucks? Okay, 1116 00:58:08,480 --> 00:58:10,160 Speaker 2: So what is the with the new one? 1117 00:58:10,200 --> 00:58:14,440 Speaker 1: What's the if you're not going through everybody else's jumping 1118 00:58:14,440 --> 00:58:18,040 Speaker 1: off the back of everyone else's iPhone, what's just the distance? 1119 00:58:19,000 --> 00:58:20,160 Speaker 2: Like the range? 1120 00:58:20,360 --> 00:58:21,880 Speaker 3: That's a really good question. I think one of the 1121 00:58:21,880 --> 00:58:24,400 Speaker 3: things they're doing with the new one is increasing the range. 1122 00:58:24,520 --> 00:58:27,400 Speaker 3: I don't know that I know exactly what the range is. 1123 00:58:27,560 --> 00:58:28,800 Speaker 2: Do you know the old one? 1124 00:58:29,560 --> 00:58:29,600 Speaker 1: No? 1125 00:58:29,800 --> 00:58:33,920 Speaker 2: I don't know that either. Really, fucking hell, you got 1126 00:58:33,920 --> 00:58:34,680 Speaker 2: one job, bro. 1127 00:58:35,200 --> 00:58:38,120 Speaker 1: I'm going to talk about I fucking Apple tags. 1128 00:58:38,200 --> 00:58:41,280 Speaker 2: Air tags yeah, oh yeah, how do they work? I 1129 00:58:41,280 --> 00:58:41,640 Speaker 2: don't know. 1130 00:58:42,000 --> 00:58:44,440 Speaker 3: Thirty to one hundred feet, so ten to thirty meters. 1131 00:58:44,880 --> 00:58:47,840 Speaker 3: That's for proximity and precision finding. So they're great around 1132 00:58:47,880 --> 00:58:49,480 Speaker 3: the house. If you've lost your keys, you've got your 1133 00:58:49,520 --> 00:58:51,920 Speaker 3: wallet somewhere, you can put a tag in there. But 1134 00:58:52,160 --> 00:58:55,120 Speaker 3: that's the direct Bluetooth range up to thirty meters. 1135 00:58:55,560 --> 00:58:58,360 Speaker 2: That's me much bigger than that. Come on, Apple, Well, 1136 00:58:58,400 --> 00:58:59,120 Speaker 2: that's sort of sick. 1137 00:59:00,040 --> 00:59:02,800 Speaker 1: I want something that if I left my keys in Elwood, 1138 00:59:03,040 --> 00:59:05,120 Speaker 1: I can find them. 1139 00:59:05,160 --> 00:59:07,520 Speaker 3: But this but to find my network range is what 1140 00:59:07,560 --> 00:59:09,880 Speaker 3: we were talking about the web. But that basically is 1141 00:59:09,960 --> 00:59:13,439 Speaker 3: unlimited because it's tracking worldwide as long as the air 1142 00:59:13,480 --> 00:59:16,600 Speaker 3: tag is near another Apple device, so as long as 1143 00:59:16,640 --> 00:59:19,000 Speaker 3: it's another Apple device. That's why for me, it wouldn't 1144 00:59:19,000 --> 00:59:21,200 Speaker 3: work too well if I'm out hiking with Fritz out 1145 00:59:21,240 --> 00:59:23,480 Speaker 3: in the country, because there's no one else hiking at 1146 00:59:23,520 --> 00:59:26,160 Speaker 3: the same time, so effectively I wouldn't be in range 1147 00:59:26,200 --> 00:59:26,760 Speaker 3: of anybody. 1148 00:59:27,320 --> 00:59:28,920 Speaker 5: And that's what I kind of fund I'll kind of 1149 00:59:28,960 --> 00:59:31,920 Speaker 5: find this Fritzius. I actually have a bluetes. I've got 1150 00:59:32,280 --> 00:59:36,680 Speaker 5: a GPS tracker for Fritzi, so I can. He's got 1151 00:59:36,680 --> 00:59:38,960 Speaker 5: his own GPS tracker just in case. 1152 00:59:40,040 --> 00:59:43,760 Speaker 1: He's such a cute dog. He's so like old gentlemanly. 1153 00:59:44,200 --> 00:59:48,800 Speaker 1: He's like now, it's just it's just I don't know. 1154 00:59:48,920 --> 00:59:51,400 Speaker 1: He looks like he's wise. He's probably a moron, but 1155 00:59:51,440 --> 00:59:52,200 Speaker 1: he looks wise. 1156 00:59:52,600 --> 00:59:55,480 Speaker 2: He's probably wiser than I am. He's probably wiser than 1157 00:59:55,520 --> 00:59:56,040 Speaker 2: both of us. 1158 00:59:56,800 --> 00:59:59,440 Speaker 1: Patrick, tell people where they are future mayor of Balan 1159 00:59:59,680 --> 01:00:04,120 Speaker 1: and surroundings. Tell people vote one Patrick. I'll be his 1160 01:00:04,120 --> 01:00:08,439 Speaker 1: campaign manager. All the details out soon. You're welcome. How 1161 01:00:08,440 --> 01:00:11,680 Speaker 1: can people connect with you while you're still less famous? 1162 01:00:13,000 --> 01:00:15,560 Speaker 3: I'm here on the podcast, dude, I'm on the new 1163 01:00:15,600 --> 01:00:20,280 Speaker 3: project that's got to be worth something. Websites dot com 1164 01:00:20,800 --> 01:00:23,200 Speaker 3: websites now dot com today. You and if you have 1165 01:00:23,240 --> 01:00:25,240 Speaker 3: an idea, or you have a topic, or you don't 1166 01:00:25,360 --> 01:00:28,560 Speaker 3: like me in Craig, or you want to help something, 1167 01:00:29,000 --> 01:00:31,640 Speaker 3: then then go to the form page on the contact 1168 01:00:31,640 --> 01:00:34,760 Speaker 3: page so websites now dot com today you and we 1169 01:00:34,800 --> 01:00:36,400 Speaker 3: will fight about it on the next show. 1170 01:00:36,560 --> 01:00:38,479 Speaker 2: Has that Oh yeah, we love well. 1171 01:00:39,280 --> 01:00:41,960 Speaker 1: I think the fact if we got on agreed about everything, 1172 01:00:42,120 --> 01:00:43,160 Speaker 1: I wouldn't believe us. 1173 01:00:43,280 --> 01:00:46,200 Speaker 2: I'd go that's bullshit. We like to debate a lot. 1174 01:00:46,440 --> 01:00:49,080 Speaker 2: All right, it's been real. Thank you Patrick,