1 00:00:04,920 --> 00:00:07,800 Speaker 1: Welcome Did it Happened Here? A podcast about things falling 2 00:00:07,800 --> 00:00:10,520 Speaker 1: apart and how to put them back together again? Wow, 3 00:00:10,600 --> 00:00:12,960 Speaker 1: I'm your host, me along, And today I am returning 4 00:00:13,000 --> 00:00:16,000 Speaker 1: to my roots and the CD Criminal Anarchist Hacker Underground, 5 00:00:16,000 --> 00:00:18,720 Speaker 1: which has gotten much less ceed and somehow even more 6 00:00:18,800 --> 00:00:23,000 Speaker 1: gay since I was last there and with with me 7 00:00:23,040 --> 00:00:25,960 Speaker 1: to talk about this is Maya Arson Crime you who 8 00:00:26,000 --> 00:00:28,520 Speaker 1: is most recently famous as the person who owned an 9 00:00:28,560 --> 00:00:30,760 Speaker 1: airline so hard they got a copy of the fucking 10 00:00:30,960 --> 00:00:38,920 Speaker 1: no flight list, which is yeah, just just first day things. Yeah, 11 00:00:38,960 --> 00:00:40,440 Speaker 1: so Maya, how how are how are you? How are 12 00:00:40,479 --> 00:00:44,600 Speaker 1: you doing? Being deluged with when Trilli an interview requests 13 00:00:44,720 --> 00:00:49,360 Speaker 1: and um so yeah, it's not my first time experiencing 14 00:00:49,400 --> 00:00:52,919 Speaker 1: like a big news cycle, but this is certainly the 15 00:00:52,960 --> 00:00:56,080 Speaker 1: biggest one. Ye's I'm surprised that this is bigger than 16 00:00:56,120 --> 00:00:58,920 Speaker 1: the one life Happy for with other stories. Yeah, but 17 00:00:59,160 --> 00:01:01,880 Speaker 1: I feel like big coming a transferm meme at the 18 00:01:01,920 --> 00:01:05,040 Speaker 1: same time as I have like a national security new 19 00:01:05,680 --> 00:01:10,080 Speaker 1: cycle going on probably helped of it. I'm I'm I'm 20 00:01:10,480 --> 00:01:13,479 Speaker 1: very happy for weed cat like that, that that that 21 00:01:13,520 --> 00:01:16,319 Speaker 1: cat did, like that, every every single other thing that 22 00:01:16,360 --> 00:01:18,800 Speaker 1: has happened to weed cat is like done that thing dirty, 23 00:01:19,240 --> 00:01:22,760 Speaker 1: but I'm happy for Yeah. We cat is not just 24 00:01:22,840 --> 00:01:25,640 Speaker 1: like a hacking icon and I'm so here for it, 25 00:01:26,360 --> 00:01:29,640 Speaker 1: like like like just like like fifteen minutes before we 26 00:01:29,680 --> 00:01:32,280 Speaker 1: got un called, there's now a like Bengal meme from 27 00:01:32,319 --> 00:01:36,920 Speaker 1: the SCP Foundation on Oh my god, they commissioned an 28 00:01:37,000 --> 00:01:40,520 Speaker 1: artist to make a thing like it has just turned 29 00:01:40,560 --> 00:01:43,520 Speaker 1: into a thing now like that that's the way. It's goods. 30 00:01:43,600 --> 00:01:45,840 Speaker 1: It's not even it's not even like the whole hacking 31 00:01:45,959 --> 00:01:48,800 Speaker 1: story anymore. It's just the fact that I tingled into 32 00:01:48,800 --> 00:01:53,120 Speaker 1: a meme like how how Yeah, and especially that Bengal 33 00:01:53,280 --> 00:01:55,160 Speaker 1: turned into a meme because that started as a like 34 00:01:55,200 --> 00:01:58,720 Speaker 1: discord in joke like that that's all it was. And 35 00:01:58,760 --> 00:02:02,080 Speaker 1: now it's the name of this well, okay, so we 36 00:02:02,080 --> 00:02:03,920 Speaker 1: should explain for it for people. For people who don't 37 00:02:03,920 --> 00:02:06,720 Speaker 1: know what this cat is. This is the Pokemon spriggary sprigarado. 38 00:02:06,760 --> 00:02:11,240 Speaker 1: How do you I don't know how to properly pronounced 39 00:02:11,240 --> 00:02:15,480 Speaker 1: It's it's Italian. I I'm under no obligation to pronounce 40 00:02:15,520 --> 00:02:20,120 Speaker 1: an Italian sounding thing correctly. It's fine. Yeah, it's the 41 00:02:20,240 --> 00:02:24,120 Speaker 1: wheat cat, like wheat cat and Bingle are now the 42 00:02:24,160 --> 00:02:30,640 Speaker 1: only two acceptable names for this. Yeah. But in in 43 00:02:30,639 --> 00:02:32,800 Speaker 1: in in the blog where you went through and talked 44 00:02:32,800 --> 00:02:35,880 Speaker 1: about how you got the no filist by owning this thing, 45 00:02:36,120 --> 00:02:41,000 Speaker 1: you posted a picture of of of this. Yeah. I 46 00:02:41,040 --> 00:02:43,840 Speaker 1: did actually like take that picture while I was like 47 00:02:43,880 --> 00:02:47,120 Speaker 1: hacking this stuff and like talking in some like small 48 00:02:47,160 --> 00:02:50,160 Speaker 1: friends discord about it, and I just posted that together 49 00:02:50,240 --> 00:02:53,839 Speaker 1: with like the phrase this aviation should get serious. That's 50 00:02:53,840 --> 00:02:56,040 Speaker 1: why that's also in the blog. I expected that to 51 00:02:56,160 --> 00:02:58,839 Speaker 1: become the meme that blows up that this aviation ship 52 00:02:59,240 --> 00:03:04,560 Speaker 1: gets serious, because that's just so stupid. Yeah, but I 53 00:03:04,600 --> 00:03:07,280 Speaker 1: guess Bengle it is. And that's funny because yeah, it 54 00:03:07,360 --> 00:03:09,880 Speaker 1: was just an in choke nonsense word and now the 55 00:03:10,040 --> 00:03:12,960 Speaker 1: entire world knows about it and it's like a transferm thing. 56 00:03:14,919 --> 00:03:18,440 Speaker 1: It rules. Yeah, So okay, I guess we should talk 57 00:03:18,480 --> 00:03:21,920 Speaker 1: about what actually you did. So I I am not 58 00:03:22,040 --> 00:03:25,480 Speaker 1: a very technical person. I'm out here defined like defying 59 00:03:25,480 --> 00:03:30,560 Speaker 1: transco stereotypes by sucking acid coding. Um, so, my my 60 00:03:30,680 --> 00:03:34,040 Speaker 1: understanding of what happened is you were browsing a list 61 00:03:34,080 --> 00:03:36,000 Speaker 1: of servers that are coming to the Internet that you 62 00:03:36,040 --> 00:03:38,960 Speaker 1: can use through sort of like various search engines that 63 00:03:39,080 --> 00:03:43,320 Speaker 1: do this, and you stop. You stumbled upon the server 64 00:03:43,440 --> 00:03:45,480 Speaker 1: that belongs to commute Air, and then they just like 65 00:03:45,760 --> 00:03:48,440 Speaker 1: I had a bunch of hard coded privileges there, and 66 00:03:48,520 --> 00:03:53,600 Speaker 1: like us, it's it's still it's still funny to me. 67 00:03:53,840 --> 00:03:57,080 Speaker 1: How Like I realized what it was because I saw 68 00:03:57,120 --> 00:03:59,400 Speaker 1: like the word eight cars and stuff, and I was like, wait, 69 00:03:59,480 --> 00:04:02,920 Speaker 1: that that's reminds me of like Mentor Pilot YouTube videos, 70 00:04:03,000 --> 00:04:06,000 Speaker 1: because of course I'm an autistic transfer and binge watch 71 00:04:06,280 --> 00:04:10,240 Speaker 1: Mentor Pilot while eating dinner. Um So, so that is 72 00:04:10,280 --> 00:04:13,200 Speaker 1: the only reason I clocked it as like an aviation thing, 73 00:04:13,240 --> 00:04:15,680 Speaker 1: and that's something I should dig into deeper, because like 74 00:04:16,080 --> 00:04:18,919 Speaker 1: you can imagine, like while I'm going through these search results, 75 00:04:19,000 --> 00:04:21,479 Speaker 1: I'm looking at like hundreds of servers in a day, 76 00:04:21,520 --> 00:04:23,719 Speaker 1: and most of the stuff I decided this boring or 77 00:04:23,760 --> 00:04:25,760 Speaker 1: it was too easy to hack, so I'm not going 78 00:04:25,760 --> 00:04:29,719 Speaker 1: further because I have a d H D um So, yeah, 79 00:04:29,760 --> 00:04:31,880 Speaker 1: and then this cause I was like, wait, that's an 80 00:04:31,920 --> 00:04:36,200 Speaker 1: aviation word. I've heard that before. Um So I take 81 00:04:36,279 --> 00:04:40,440 Speaker 1: a little deeper and there were just passwords there, and 82 00:04:40,440 --> 00:04:44,080 Speaker 1: and then like two minutes after I found that server, 83 00:04:44,279 --> 00:04:46,840 Speaker 1: I was looking at like a car's messages, as in 84 00:04:47,000 --> 00:04:51,280 Speaker 1: like messaging between ground stations and airplanes, and that was 85 00:04:51,360 --> 00:04:54,039 Speaker 1: just like, yeah, this is a story, and started tweeting 86 00:04:54,040 --> 00:04:57,120 Speaker 1: about it, looking for journalists to work with because with 87 00:04:57,240 --> 00:04:59,320 Speaker 1: stories like this, I like to work with journals from 88 00:04:59,320 --> 00:05:01,320 Speaker 1: the very start because I want to make sure it 89 00:05:01,320 --> 00:05:03,839 Speaker 1: doesn't get wiped under the rock when I reported to 90 00:05:03,920 --> 00:05:07,440 Speaker 1: a company. So I make sure that when I do 91 00:05:07,600 --> 00:05:10,800 Speaker 1: reach out and get things fixed, I reach out via 92 00:05:10,920 --> 00:05:14,120 Speaker 1: journalists so that the company's not yet this is being 93 00:05:14,160 --> 00:05:16,320 Speaker 1: reported on so they can't be like, yeah, we will 94 00:05:16,320 --> 00:05:18,800 Speaker 1: fix it under the condition that you never tell anyone 95 00:05:18,839 --> 00:05:22,280 Speaker 1: about our bad security, because like the whole point of 96 00:05:22,279 --> 00:05:26,640 Speaker 1: what I'm doing is exposing like the security issues but 97 00:05:26,720 --> 00:05:29,840 Speaker 1: also exposing yeah, with a political background at the end 98 00:05:29,839 --> 00:05:32,560 Speaker 1: of the day. Yeah, And I guess like another thing 99 00:05:32,600 --> 00:05:34,240 Speaker 1: I don't I don't know how many people sort of 100 00:05:34,839 --> 00:05:36,920 Speaker 1: are aware of this, but like another thing that has 101 00:05:36,960 --> 00:05:38,760 Speaker 1: happened with people who are trying to go to companies 102 00:05:38,800 --> 00:05:40,920 Speaker 1: and been like, hey, here's the security thing is like 103 00:05:41,240 --> 00:05:44,400 Speaker 1: the company tries to like go after them criminally, like immediately, 104 00:05:45,120 --> 00:05:50,400 Speaker 1: which sucks ass and is the worst. Yeah. So so 105 00:05:50,400 --> 00:05:52,680 Speaker 1: so from that stand but it doesn't even matter if 106 00:05:52,720 --> 00:05:55,280 Speaker 1: I like do it like this are actually reported to them, 107 00:05:55,320 --> 00:05:57,960 Speaker 1: But this way I get to talk about the publicly 108 00:05:58,040 --> 00:06:01,000 Speaker 1: and like that's important, not because same on cloud, like 109 00:06:01,080 --> 00:06:07,719 Speaker 1: I don't mind the cloud, but like yeah, yeah, and 110 00:06:07,800 --> 00:06:13,240 Speaker 1: so okay, so uh, there's there's been a lot of 111 00:06:13,320 --> 00:06:15,760 Speaker 1: focus on the fact that you found the no fly 112 00:06:15,880 --> 00:06:21,560 Speaker 1: list on there, which is very funny. But okay, why 113 00:06:21,560 --> 00:06:25,159 Speaker 1: like okay, one thing I'm trying to figure out, why 114 00:06:25,320 --> 00:06:27,880 Speaker 1: was there Why were there just messages from like ground 115 00:06:27,960 --> 00:06:30,960 Speaker 1: cruise to airplanes just like sitting around on this random 116 00:06:31,000 --> 00:06:34,320 Speaker 1: server that's just like the exploded to the internet, right, 117 00:06:34,480 --> 00:06:36,839 Speaker 1: so the messages weren't directly on that server, but like 118 00:06:36,880 --> 00:06:40,240 Speaker 1: it's the server where they like for testing purposes, like 119 00:06:41,440 --> 00:06:44,000 Speaker 1: I don't know how much I can understand really, but 120 00:06:44,000 --> 00:06:47,520 Speaker 1: where they like test the software automatically and and so 121 00:06:47,640 --> 00:06:51,119 Speaker 1: there's all. And because of how they configured the server, 122 00:06:51,560 --> 00:06:54,000 Speaker 1: I could just have access to all the source code, 123 00:06:54,000 --> 00:06:57,680 Speaker 1: which included lots of passwords for example, for like the 124 00:06:57,760 --> 00:07:01,800 Speaker 1: server that then had the car's message saw it okay, 125 00:07:02,000 --> 00:07:05,560 Speaker 1: but yeah, or access credentials for APIs that would have 126 00:07:05,560 --> 00:07:10,720 Speaker 1: followed me to update the crew and or which like 127 00:07:10,800 --> 00:07:13,400 Speaker 1: if you think about that's almost the bigger story that 128 00:07:14,360 --> 00:07:17,679 Speaker 1: like at least theoretically could have been able to change 129 00:07:17,720 --> 00:07:23,200 Speaker 1: crew cruise because like that's the real terrorism risk. Yeah. 130 00:07:23,240 --> 00:07:26,120 Speaker 1: Like if I'm just like if I'm just allowed to 131 00:07:26,160 --> 00:07:29,720 Speaker 1: spell it out like that, like that that's the dream 132 00:07:29,800 --> 00:07:33,560 Speaker 1: of any Yeah. Yeah, like I mean you you know, 133 00:07:33,680 --> 00:07:35,040 Speaker 1: like I'm one of the things you were talking about 134 00:07:35,040 --> 00:07:37,240 Speaker 1: when when you're writing about this was that like journalists 135 00:07:37,240 --> 00:07:38,960 Speaker 1: thought that you were the one who had like caused 136 00:07:38,960 --> 00:07:40,560 Speaker 1: all of the flight delays. It was like, no, that 137 00:07:40,640 --> 00:07:43,240 Speaker 1: was just their computer breaking. No, but yeah, like that 138 00:07:43,320 --> 00:07:46,240 Speaker 1: was just funny because I didn't even know the thing 139 00:07:46,320 --> 00:07:49,880 Speaker 1: with with the f a A happened, but I was 140 00:07:49,920 --> 00:07:52,560 Speaker 1: like tweeting about, oh, I have a big aviation story. 141 00:07:52,560 --> 00:07:55,520 Speaker 1: Any journalists interested. It's like a security breach, and people 142 00:07:55,520 --> 00:07:57,000 Speaker 1: were like, wait, what did you do to the f 143 00:07:57,080 --> 00:07:58,800 Speaker 1: a A. And it was like what f a A? 144 00:08:00,480 --> 00:08:02,720 Speaker 1: So that happened, Like I am still not up to 145 00:08:02,760 --> 00:08:05,920 Speaker 1: date in US anymore. Yeah, I mean, so for people 146 00:08:05,920 --> 00:08:09,040 Speaker 1: who don't know what that story is. So basically, the 147 00:08:09,040 --> 00:08:12,600 Speaker 1: Federal Aviation Administration had a computer problem. It was very 148 00:08:12,640 --> 00:08:14,440 Speaker 1: the very very short version day the computer problem and 149 00:08:14,480 --> 00:08:18,040 Speaker 1: this grounded like a ship ton of flights because the 150 00:08:18,440 --> 00:08:21,800 Speaker 1: huge like computer bottlenecks where if it was we saw 151 00:08:21,840 --> 00:08:24,960 Speaker 1: this over like like like last month when there was 152 00:08:25,000 --> 00:08:28,360 Speaker 1: that when all of those flights got down by Southwestern 153 00:08:28,400 --> 00:08:32,000 Speaker 1: because the computer system just went down. It's the same 154 00:08:32,080 --> 00:08:36,240 Speaker 1: thing except us y. Yeah, but it's it's just funny 155 00:08:36,280 --> 00:08:40,080 Speaker 1: because yeah, I first found this server like exactly the 156 00:08:40,160 --> 00:08:43,520 Speaker 1: day after, like that was literally a day after the 157 00:08:43,640 --> 00:08:47,160 Speaker 1: f a A incident, So people are rightly assuming that 158 00:08:47,160 --> 00:08:50,600 Speaker 1: that was me, which obviously wasn't, but like it would 159 00:08:50,640 --> 00:08:53,959 Speaker 1: have been cool. Yeah, but it's also like it is 160 00:08:54,080 --> 00:08:55,640 Speaker 1: very disturbed to be like this kind of stuff is 161 00:08:55,679 --> 00:08:57,920 Speaker 1: just sitting there and like someone yeah could just like 162 00:08:58,080 --> 00:09:00,720 Speaker 1: theoretically going and screw with all of this stuff, which 163 00:09:00,760 --> 00:09:03,000 Speaker 1: is like and then also the fact that like there 164 00:09:03,120 --> 00:09:05,400 Speaker 1: was just all of like the personal information of all 165 00:09:05,440 --> 00:09:08,199 Speaker 1: of the pilots on. They're like, what the hell like 166 00:09:08,760 --> 00:09:13,640 Speaker 1: that is yeah that yeah, it's terrifying. Yeah, it's it 167 00:09:13,800 --> 00:09:15,800 Speaker 1: is crazy how much stuff is just out there, and 168 00:09:15,880 --> 00:09:18,480 Speaker 1: like that's part of what I try to show with 169 00:09:18,520 --> 00:09:22,240 Speaker 1: my work. It's just yeah, there's so much stuff out 170 00:09:22,240 --> 00:09:24,280 Speaker 1: there and it's just waiting to be found and I 171 00:09:24,320 --> 00:09:27,360 Speaker 1: both mean that in terms of like, yeah, you can 172 00:09:27,400 --> 00:09:29,720 Speaker 1: find ship if you try to, but also in the 173 00:09:29,760 --> 00:09:33,160 Speaker 1: sense of things are not secure, like yeah, like all 174 00:09:33,200 --> 00:09:36,800 Speaker 1: the systems are are like entire life depend on nowadays 175 00:09:36,840 --> 00:09:39,640 Speaker 1: not none of those systems are really secure. They're entirely 176 00:09:39,679 --> 00:09:44,440 Speaker 1: dependent on like one system administrator who doesn't get paid enough. 177 00:09:45,080 --> 00:09:48,520 Speaker 1: Our entire like computer systems depend on like a bunch 178 00:09:48,559 --> 00:09:54,160 Speaker 1: of furies being motivated enough to do their work. So basically, 179 00:09:54,200 --> 00:09:56,680 Speaker 1: like the moral of the story is pay furies well. 180 00:09:56,720 --> 00:10:01,560 Speaker 1: And yeah, yeah, and this this is probably to look 181 00:10:01,559 --> 00:10:03,280 Speaker 1: at everything that I was thinking about when I was 182 00:10:03,320 --> 00:10:05,640 Speaker 1: looking at this, which is like, you know, okay, so 183 00:10:05,760 --> 00:10:08,280 Speaker 1: like when when when I was like a teenager like 184 00:10:08,320 --> 00:10:09,520 Speaker 1: one on one of the things that I think I 185 00:10:09,559 --> 00:10:11,440 Speaker 1: was the most wrong about that I believed was like 186 00:10:11,559 --> 00:10:15,560 Speaker 1: I actually genuinely believed that like automating cars was a 187 00:10:15,559 --> 00:10:17,880 Speaker 1: good idea because humans are really really bad at driving. 188 00:10:18,200 --> 00:10:19,400 Speaker 1: And then and then and then I had to learn 189 00:10:19,440 --> 00:10:21,840 Speaker 1: to program, and I had to like see scientists code, 190 00:10:22,040 --> 00:10:25,439 Speaker 1: and I had to I I I opened a program 191 00:10:25,480 --> 00:10:26,920 Speaker 1: and there's a section of it that no one knows 192 00:10:26,920 --> 00:10:28,720 Speaker 1: how it works. And I look, I look at the 193 00:10:28,760 --> 00:10:31,440 Speaker 1: notes and the notes say, I don't I didn't write this. 194 00:10:31,520 --> 00:10:33,240 Speaker 1: I don't know how it works. This is produced, This 195 00:10:33,320 --> 00:10:36,320 Speaker 1: is produced at four am on like like seven milligrams 196 00:10:36,320 --> 00:10:41,200 Speaker 1: of caffeine. And that's like, yeah, on at least caffeine 197 00:10:41,200 --> 00:10:46,679 Speaker 1: if yeah, well these are these were astronomers, So I 198 00:10:46,280 --> 00:10:49,280 Speaker 1: I think it was actually just a lot of caffeine 199 00:10:49,280 --> 00:10:52,400 Speaker 1: and not fines. But yeah, like you know, and then 200 00:10:52,440 --> 00:10:55,200 Speaker 1: I had the realization the only single thing that we 201 00:10:55,320 --> 00:10:58,960 Speaker 1: as humans are worse at than driving is coding exactly, yeah, 202 00:10:59,120 --> 00:11:00,839 Speaker 1: we are, we are even works at that. And then 203 00:11:01,000 --> 00:11:03,839 Speaker 1: the other thing we're also very bad at is labeling data, 204 00:11:03,920 --> 00:11:06,720 Speaker 1: which is like the whole thing machine learning is dependent, 205 00:11:07,120 --> 00:11:12,000 Speaker 1: like because like the entire intelligence of like an automative car, 206 00:11:12,280 --> 00:11:15,160 Speaker 1: like a self driving car, is entirely dependent on how 207 00:11:15,200 --> 00:11:20,240 Speaker 1: intelligent the like underpaid workers and Kenya are getting paid 208 00:11:20,280 --> 00:11:24,040 Speaker 1: like two bucks an hour to label things as car, human, 209 00:11:24,160 --> 00:11:27,960 Speaker 1: and child and then make moral decisions of whether or 210 00:11:27,960 --> 00:11:31,960 Speaker 1: not those should get run over. Um, like yeah, like 211 00:11:32,000 --> 00:11:33,400 Speaker 1: this is you know what what of One of my 212 00:11:33,440 --> 00:11:36,679 Speaker 1: sort of political things that I'm coming to is I 213 00:11:36,679 --> 00:11:38,560 Speaker 1: I think the only person people who should be allowed 214 00:11:38,559 --> 00:11:40,319 Speaker 1: to do machine learning are astronomers and no one else 215 00:11:40,320 --> 00:11:42,920 Speaker 1: should be allowed to do it, and even they know 216 00:11:42,920 --> 00:11:44,720 Speaker 1: because they have to. They like they have a legitimate reason, 217 00:11:44,720 --> 00:11:46,600 Speaker 1: which is that like they actually a they're doing a 218 00:11:46,600 --> 00:11:48,400 Speaker 1: bunch of big dates, like most of astronomy is just 219 00:11:48,440 --> 00:11:53,120 Speaker 1: big data analysis, and then be like the analysis itself 220 00:11:53,160 --> 00:11:56,240 Speaker 1: doesn't really hurt anyone. Uh, you you can argue about 221 00:11:56,800 --> 00:12:01,000 Speaker 1: the telescopes, but like you're not, You're not, Like, yeah, 222 00:12:01,200 --> 00:12:05,400 Speaker 1: just like anything that involves humans probably yeah, involves AI 223 00:12:05,520 --> 00:12:09,120 Speaker 1: in anyone. Yeah, that's terrible idea, but yeah, I guess, 224 00:12:09,120 --> 00:12:11,040 Speaker 1: I guess. Okay, So circling back around to the point 225 00:12:11,080 --> 00:12:13,000 Speaker 1: I was going to make and then forgot distracted talking 226 00:12:13,040 --> 00:12:17,840 Speaker 1: about AI because such as the world, Um yeah, so 227 00:12:18,000 --> 00:12:21,040 Speaker 1: you know, it's really remarkable to me, like how little 228 00:12:21,120 --> 00:12:25,360 Speaker 1: technical skill you need to just like absolutely own enormous 229 00:12:25,360 --> 00:12:28,679 Speaker 1: corporations and governments and you know. But but the other 230 00:12:28,720 --> 00:12:30,600 Speaker 1: thing that that's that struck me about this, that I've 231 00:12:30,640 --> 00:12:34,920 Speaker 1: been thinking about for a while is that like, Okay, 232 00:12:35,000 --> 00:12:36,960 Speaker 1: on the one hand, you have how easy hacking is, 233 00:12:37,080 --> 00:12:39,160 Speaker 1: like like this server stuff is like easier than the 234 00:12:39,160 --> 00:12:40,679 Speaker 1: stuff that I remember back in the day, which is 235 00:12:40,720 --> 00:12:46,280 Speaker 1: a lot of like people like you someone somewhere long 236 00:12:46,320 --> 00:12:48,600 Speaker 1: ago in a galaxy far far away, wrote like a 237 00:12:48,640 --> 00:12:50,480 Speaker 1: script and then you just copy and paste it into 238 00:12:50,480 --> 00:12:52,679 Speaker 1: like every single text box on a web page, and 239 00:12:52,760 --> 00:12:56,480 Speaker 1: like that's I think, like that's probably maybe like more 240 00:12:56,559 --> 00:12:59,319 Speaker 1: hackery quote unquote than just like looking through a list 241 00:12:59,360 --> 00:13:02,000 Speaker 1: of servers. But like even that is like the level 242 00:13:02,360 --> 00:13:05,280 Speaker 1: of technical sophistication is so low or or you know, 243 00:13:05,760 --> 00:13:08,960 Speaker 1: you don't need technically it's just need to be stupid 244 00:13:09,120 --> 00:13:11,520 Speaker 1: enough to pull it up. Like yeah, but but you know, 245 00:13:11,600 --> 00:13:13,520 Speaker 1: but it's the thing that I realized about this and 246 00:13:13,520 --> 00:13:15,280 Speaker 1: I was thinking about this was like, on the one hand, 247 00:13:15,440 --> 00:13:17,520 Speaker 1: the level technical sophistication to you for this is extreme below. 248 00:13:17,559 --> 00:13:19,880 Speaker 1: On the other hand, one of the sort of like 249 00:13:19,880 --> 00:13:22,000 Speaker 1: like one of one of the sort of trends of 250 00:13:22,160 --> 00:13:26,120 Speaker 1: the way capitalism has been distributing digital technology, which is 251 00:13:26,160 --> 00:13:28,079 Speaker 1: sort of by apping it like by by sorry, which 252 00:13:28,080 --> 00:13:30,720 Speaker 1: has been packing it into apps in these closed guarding 253 00:13:30,760 --> 00:13:34,800 Speaker 1: ecosystems and like putting us in between you and like 254 00:13:35,440 --> 00:13:37,960 Speaker 1: what like you and what's actually happening in your computer 255 00:13:38,679 --> 00:13:40,840 Speaker 1: has been you know, it's it's been designing in a 256 00:13:40,880 --> 00:13:43,319 Speaker 1: way to make a quote unquote consumer friendly, but also 257 00:13:44,559 --> 00:13:46,440 Speaker 1: it's been designed in a way such that like successive 258 00:13:46,480 --> 00:13:49,120 Speaker 1: generations of computer users just have less and less knowledge 259 00:13:49,160 --> 00:13:52,839 Speaker 1: of how their devices technology actually work. Yeah, that's like 260 00:13:52,840 --> 00:13:56,200 Speaker 1: like there's that whole thing of like about how how 261 00:13:57,000 --> 00:14:00,719 Speaker 1: like younger kids don't understand the cala the fault is 262 00:14:00,720 --> 00:14:04,800 Speaker 1: anymore because like that's completely abstracted away on like smartphones, 263 00:14:05,480 --> 00:14:08,520 Speaker 1: chrome book in particular, which I genuinely think we need 264 00:14:08,559 --> 00:14:11,520 Speaker 1: to ban chromebooks in schools, like just just like for 265 00:14:11,520 --> 00:14:14,439 Speaker 1: for for the sake of human big of a thing 266 00:14:14,480 --> 00:14:19,640 Speaker 1: that isn't Yeah, it's awful, Like, oh god, they're the worst. Yeah, 267 00:14:19,680 --> 00:14:21,200 Speaker 1: I don't know, like at the end of today. That's 268 00:14:21,320 --> 00:14:23,400 Speaker 1: what I wanted to say earlier about like how easy 269 00:14:23,400 --> 00:14:25,600 Speaker 1: it is to hack all the paper operations and stuff. 270 00:14:25,800 --> 00:14:27,840 Speaker 1: And it's just like the answer as to why it's 271 00:14:27,880 --> 00:14:30,920 Speaker 1: just capitalism. It's it's cheaper not to give a ship 272 00:14:31,000 --> 00:14:36,160 Speaker 1: about cybersecurity. It's cheaper to just pay when you get 273 00:14:36,160 --> 00:14:39,800 Speaker 1: hacked than to like secure your ship upfront, because like 274 00:14:39,840 --> 00:14:42,280 Speaker 1: the only people that will really suffer is like your 275 00:14:42,320 --> 00:14:46,280 Speaker 1: customers and your employees, and they can forget your your shareholders, 276 00:14:46,280 --> 00:14:49,280 Speaker 1: they're gonna be just fine, you know, and you you 277 00:14:49,280 --> 00:14:51,440 Speaker 1: look at the way the regulatory structure works is like, okay, 278 00:14:51,440 --> 00:14:53,200 Speaker 1: so what what what happens if you get in trouble 279 00:14:53,280 --> 00:14:57,200 Speaker 1: something like this, Well the government takes a cut. That's it. Yeah, yeah, 280 00:14:57,280 --> 00:15:00,880 Speaker 1: that's that's it. Like it's literally it's it's literally like 281 00:15:01,040 --> 00:15:05,000 Speaker 1: you can budget getting there. There's cyber insurance now you 282 00:15:05,000 --> 00:15:08,960 Speaker 1: can get insured against getting hacked. Like like it's it's 283 00:15:08,960 --> 00:15:12,280 Speaker 1: just capitalism out of work. And I feel like one 284 00:15:12,320 --> 00:15:13,880 Speaker 1: of the things that one of the things that journalists 285 00:15:13,880 --> 00:15:16,760 Speaker 1: have sort of I don't know, and I understand why 286 00:15:16,840 --> 00:15:18,520 Speaker 1: they focus on it, but I feel like there's a 287 00:15:18,520 --> 00:15:21,160 Speaker 1: lot of focus in in sort of like in tech 288 00:15:21,240 --> 00:15:23,960 Speaker 1: journalism and journalism on sort of hacking stuff in like 289 00:15:24,000 --> 00:15:27,800 Speaker 1: the really big sophisticated like stut Nicks or what was 290 00:15:27,840 --> 00:15:30,400 Speaker 1: the what was the more recent one I can remember 291 00:15:30,400 --> 00:15:31,840 Speaker 1: the name of people like yeah, like there were the 292 00:15:31,920 --> 00:15:34,000 Speaker 1: really sort of convoluted trawling program and things that like 293 00:15:34,160 --> 00:15:37,040 Speaker 1: you know, take Nayan state level of resources and it's like, well, yeah, 294 00:15:37,160 --> 00:15:38,520 Speaker 1: you know this this was always the thing with like 295 00:15:38,520 --> 00:15:40,280 Speaker 1: the with like the n s A to where it's like, 296 00:15:40,320 --> 00:15:42,640 Speaker 1: well okay, so the the the the the the the 297 00:15:42,680 --> 00:15:43,920 Speaker 1: On the on the one hand, the n s A 298 00:15:44,040 --> 00:15:47,680 Speaker 1: does have enough money to like spend like fifty million 299 00:15:47,720 --> 00:15:50,400 Speaker 1: dollars factoring one numbers like a break a bunch of encryption. 300 00:15:50,480 --> 00:15:53,720 Speaker 1: On the other hand, like they can just force US 301 00:15:53,800 --> 00:15:58,240 Speaker 1: companies definitely and also give them access. And also like 302 00:15:58,480 --> 00:15:59,840 Speaker 1: I don't know they can they can get most of 303 00:16:00,000 --> 00:16:03,080 Speaker 1: information because like some server admin in like a farm 304 00:16:03,120 --> 00:16:06,200 Speaker 1: in like the middle of world, Nebraska, like misconfigured a file, 305 00:16:06,480 --> 00:16:10,760 Speaker 1: like misconfigured the server. So like, you know, I don't know. 306 00:16:10,840 --> 00:16:13,520 Speaker 1: That's That's what I find funny about the things I find, 307 00:16:13,560 --> 00:16:16,960 Speaker 1: because I like almost exclusively go for like the low 308 00:16:17,040 --> 00:16:20,680 Speaker 1: hanging fruit, because like why would I invest more effort 309 00:16:20,720 --> 00:16:22,920 Speaker 1: when I can get the really big scoops like this. 310 00:16:23,400 --> 00:16:27,040 Speaker 1: And also sometimes sometimes I do kind of think about how, hey, 311 00:16:27,600 --> 00:16:29,840 Speaker 1: you know, like maybe I just cut off access to 312 00:16:29,920 --> 00:16:32,720 Speaker 1: the CIA. Maybe this was like how the CIA got 313 00:16:32,760 --> 00:16:35,160 Speaker 1: this access. Maybe maybe the n s A was here 314 00:16:36,280 --> 00:16:39,160 Speaker 1: obviously most likely not in most cases, but it's just 315 00:16:39,200 --> 00:16:41,560 Speaker 1: a funny little thought of like who did I just 316 00:16:41,680 --> 00:16:45,440 Speaker 1: kind of access by reporting this? I will say this, 317 00:16:45,520 --> 00:16:48,120 Speaker 1: like I can't imagine that there isn't someone at the 318 00:16:48,200 --> 00:16:49,680 Speaker 1: n s A, and there isn't someone at the Cia, 319 00:16:49,680 --> 00:16:51,480 Speaker 1: whose job it is is to do exactly the same 320 00:16:51,520 --> 00:16:54,000 Speaker 1: thing you do, and like scrolling server list every day, 321 00:16:54,120 --> 00:16:57,480 Speaker 1: like absolutely like like like that. That's why by now 322 00:16:57,520 --> 00:16:59,880 Speaker 1: I you sue my like for the surgeon since the 323 00:17:00,160 --> 00:17:02,160 Speaker 1: show don which is like the famous U S one, 324 00:17:02,160 --> 00:17:04,000 Speaker 1: which is why I still always say I found it 325 00:17:04,000 --> 00:17:06,800 Speaker 1: on show them, even though by now I use because 326 00:17:06,800 --> 00:17:09,240 Speaker 1: showdown has like half of like all U S I 327 00:17:09,359 --> 00:17:12,760 Speaker 1: P centered and they have an artificial delay between finding 328 00:17:12,800 --> 00:17:16,480 Speaker 1: the servers and showing them to you and have really 329 00:17:16,520 --> 00:17:19,080 Speaker 1: bad search. And I'm pretty sure it's just because at 330 00:17:19,080 --> 00:17:21,560 Speaker 1: one point the US government got upset because they kept 331 00:17:21,560 --> 00:17:26,160 Speaker 1: getting yeah uh and so yeah, but like the Chinese 332 00:17:26,160 --> 00:17:29,160 Speaker 1: are very willing to give me all the scieties ever 333 00:17:29,600 --> 00:17:32,000 Speaker 1: that that they too centsor a lot of Chinese I 334 00:17:32,160 --> 00:17:34,080 Speaker 1: P s though, but I think a lot of that 335 00:17:34,200 --> 00:17:36,040 Speaker 1: was so I was I was trying to figure out 336 00:17:36,119 --> 00:17:38,439 Speaker 1: why that name was relation. But then I had this. 337 00:17:38,520 --> 00:17:41,440 Speaker 1: I remembered that there was a story where some researcher 338 00:17:41,520 --> 00:17:43,199 Speaker 1: did like almost the exact same thing you did to 339 00:17:43,240 --> 00:17:46,000 Speaker 1: a Chinese security company and found out that they were 340 00:17:46,040 --> 00:17:49,000 Speaker 1: doing I guess what, exactly the same ship the US 341 00:17:49,040 --> 00:17:51,240 Speaker 1: government was doing, which was using using a bunch of 342 00:17:51,359 --> 00:17:53,399 Speaker 1: valance cameras to spy on Muslims, and it was like, well, 343 00:17:54,160 --> 00:17:56,960 Speaker 1: this is great. Yeah, it's it's always like like it's 344 00:17:56,960 --> 00:18:03,560 Speaker 1: always appointing and doing the same thing, like yeah, okay, 345 00:18:03,600 --> 00:18:06,320 Speaker 1: so we unfortunately going to have to take an ad break. 346 00:18:07,119 --> 00:18:10,680 Speaker 1: I yeah, but then once we returned from capitalism, we 347 00:18:10,720 --> 00:18:25,199 Speaker 1: will go back to opposing capitalism. Welcome to three, all right, 348 00:18:25,240 --> 00:18:28,320 Speaker 1: and we're back. Yeah. So speaking of any capitalism, that 349 00:18:28,680 --> 00:18:31,240 Speaker 1: was another thing I wanted to sort of talk about, 350 00:18:31,240 --> 00:18:33,800 Speaker 1: which is said, Okay, so like long long, long ago, 351 00:18:34,040 --> 00:18:36,480 Speaker 1: in a galaxy far far away, little little little baby, 352 00:18:36,520 --> 00:18:40,440 Speaker 1: fifteen year old Mia was radicalized, like back back, back 353 00:18:40,440 --> 00:18:42,840 Speaker 1: back when I was overthrowing trying to overthrow my first government. 354 00:18:42,880 --> 00:18:46,000 Speaker 1: It was um a lot a lot of it was 355 00:18:46,160 --> 00:18:47,760 Speaker 1: being in the same sphere as a lot of sort 356 00:18:47,760 --> 00:18:49,399 Speaker 1: of anxiout hackers that were in the sort of like 357 00:18:49,440 --> 00:18:53,560 Speaker 1: loose anonymous sphere. But you know, by by like sixteen, 358 00:18:53,560 --> 00:18:55,920 Speaker 1: like that stuff was kind of falling apart, like partially 359 00:18:55,920 --> 00:18:58,720 Speaker 1: because of in fighting, partially because of fat infiltration, partially 360 00:18:58,760 --> 00:19:02,840 Speaker 1: because you like everyone got arrested. Yeah, yeah, point all 361 00:19:02,920 --> 00:19:06,120 Speaker 1: the big players have been arrested, like three years prior. Yeah, 362 00:19:06,200 --> 00:19:07,840 Speaker 1: and and you know, and the other thing that was 363 00:19:07,880 --> 00:19:11,920 Speaker 1: going on too, I think was like Anonymous, like it's 364 00:19:12,000 --> 00:19:15,800 Speaker 1: politics were always really incoherent, like you you had, I 365 00:19:15,800 --> 00:19:18,399 Speaker 1: don't know, you're just like everyone. Like the thing I 366 00:19:18,400 --> 00:19:21,680 Speaker 1: remember was there was a big split between like basically 367 00:19:21,720 --> 00:19:25,879 Speaker 1: the fascist and the anarchists between like like over Trump specifically. 368 00:19:25,920 --> 00:19:28,879 Speaker 1: Like yeah, I think the thing with Anonymous is just 369 00:19:28,920 --> 00:19:31,199 Speaker 1: like the way it started. It started. It's just like 370 00:19:31,240 --> 00:19:34,040 Speaker 1: a group of tropics before Janet it was like, well, okay, 371 00:19:34,119 --> 00:19:36,200 Speaker 1: the pic just say, like I mean, it makes sense 372 00:19:36,240 --> 00:19:39,880 Speaker 1: that Anonymous is the way it is and has been 373 00:19:39,920 --> 00:19:42,359 Speaker 1: the way it has been. I think it's still like 374 00:19:42,480 --> 00:19:46,040 Speaker 1: important that it exists and that it motivates people. Uh, 375 00:19:46,320 --> 00:19:50,080 Speaker 1: Like I have been involved with Anonymous before. There's the 376 00:19:50,119 --> 00:19:52,520 Speaker 1: one thing I can talk about with like Operation Mean 377 00:19:52,640 --> 00:19:56,520 Speaker 1: Mar where we did like support things. Um that was 378 00:19:56,560 --> 00:20:01,600 Speaker 1: shortly before my indictment. But yeah, it's it's interesting like 379 00:20:02,000 --> 00:20:06,560 Speaker 1: Anonymous brings people together to do operations and that's what 380 00:20:06,600 --> 00:20:10,680 Speaker 1: they do, and they can do pr for stuff. Uh yeah, 381 00:20:10,680 --> 00:20:14,520 Speaker 1: I don't want to like them. Yeah no, but I think, 382 00:20:14,520 --> 00:20:17,119 Speaker 1: like I think, especially especially like in life, like when 383 00:20:17,160 --> 00:20:19,720 Speaker 1: I was got involved with Chilse' thirteen. It was like 384 00:20:19,720 --> 00:20:22,439 Speaker 1: like it was it was a lot different, like it 385 00:20:22,520 --> 00:20:26,439 Speaker 1: was you know, like a thing. Yeah, it was. It was. 386 00:20:26,480 --> 00:20:28,760 Speaker 1: It was like a thing. And also it wasn't just 387 00:20:28,920 --> 00:20:31,399 Speaker 1: like like it wasn't just that it was sort of 388 00:20:31,440 --> 00:20:35,840 Speaker 1: like Okay, we're like we're like trolling, trolling a government 389 00:20:35,840 --> 00:20:38,000 Speaker 1: by like taking down their web pages or whatever, like 390 00:20:38,040 --> 00:20:39,800 Speaker 1: they were actually sort of there was like there was 391 00:20:39,840 --> 00:20:42,800 Speaker 1: real coordination between like people like you know, revolutionaries on 392 00:20:42,840 --> 00:20:46,040 Speaker 1: the ground in like Egypt, Uran, like Brazil, that and 393 00:20:46,080 --> 00:20:48,919 Speaker 1: that like that does still happened, Yeah, but does still happened. 394 00:20:48,960 --> 00:20:50,760 Speaker 1: It's just less of a public thing like that was 395 00:20:50,880 --> 00:20:53,919 Speaker 1: what we did. And and as well as where we 396 00:20:53,960 --> 00:20:56,480 Speaker 1: did communications with people on the ground where we helped 397 00:20:56,520 --> 00:20:59,320 Speaker 1: them communicate among each other, where we helped them keep 398 00:20:59,359 --> 00:21:02,399 Speaker 1: the internet got up even when the government tried to 399 00:21:02,440 --> 00:21:06,600 Speaker 1: turn it off. Other fund other other fun shenanigans like that, 400 00:21:07,160 --> 00:21:09,800 Speaker 1: and also archival and that like just in case some 401 00:21:10,080 --> 00:21:12,760 Speaker 1: kids that does decide to beat us literally every web 402 00:21:12,760 --> 00:21:18,400 Speaker 1: page in the country, which is mostly nonsensical, but like, yeah, 403 00:21:18,920 --> 00:21:22,000 Speaker 1: but I do find it interesting how like yeah, there's 404 00:21:22,080 --> 00:21:25,280 Speaker 1: like the twenty twelve, twenty thirteen generation that was mostly 405 00:21:25,320 --> 00:21:28,560 Speaker 1: anonymous terminated and now we're in like this new generation 406 00:21:28,600 --> 00:21:31,200 Speaker 1: where it's just small little groups. Yeah, and I wanted 407 00:21:31,200 --> 00:21:34,000 Speaker 1: to talk about that because it's much more decentralized. I 408 00:21:34,040 --> 00:21:37,439 Speaker 1: don't know, it's weird to talk about it because at 409 00:21:37,480 --> 00:21:39,600 Speaker 1: the end of the day, I inspired a lot of it, 410 00:21:39,760 --> 00:21:42,480 Speaker 1: which is really weird to say. It's so weird to 411 00:21:42,560 --> 00:21:45,600 Speaker 1: say that. I like, but yeah, I'm kind of part 412 00:21:45,640 --> 00:21:50,240 Speaker 1: of what revived activism and it sounds so so pretentious 413 00:21:50,280 --> 00:21:53,640 Speaker 1: of me to just say that myself, but like, yeah, 414 00:21:54,000 --> 00:21:59,080 Speaker 1: it is kind of what happened in like yeah, and 415 00:21:59,080 --> 00:22:01,040 Speaker 1: like that that was to be too, because it was 416 00:22:01,080 --> 00:22:05,919 Speaker 1: it was very like I don't know, like the Susan 417 00:22:05,960 --> 00:22:09,920 Speaker 1: twelve stuff was also like it was very very I 418 00:22:09,960 --> 00:22:11,960 Speaker 1: guess media centered in a way where it was it 419 00:22:12,000 --> 00:22:15,200 Speaker 1: was about drawing, like drawing masses of people into things 420 00:22:15,760 --> 00:22:17,560 Speaker 1: and then using it to sort of get media attention, 421 00:22:17,680 --> 00:22:19,680 Speaker 1: using it to sort of like I don't know, be 422 00:22:19,880 --> 00:22:22,040 Speaker 1: be this sort of like online like also this sort 423 00:22:22,080 --> 00:22:24,159 Speaker 1: of like online social movements in a way that I 424 00:22:24,160 --> 00:22:27,679 Speaker 1: think it's very different than the modern stuff. So this 425 00:22:27,680 --> 00:22:29,359 Speaker 1: is my conception of it, though, because I've also been 426 00:22:29,440 --> 00:22:32,760 Speaker 1: kind of like, I don't know, I was off doing 427 00:22:32,800 --> 00:22:35,399 Speaker 1: other stuff in twenty nineteen that had nothing to do 428 00:22:35,440 --> 00:22:40,520 Speaker 1: with this, So yeah, I'm curious, Well, okay, how do 429 00:22:40,600 --> 00:22:44,440 Speaker 1: I put this up? So I'm curious a like, how 430 00:22:44,520 --> 00:22:48,359 Speaker 1: how you see the politics of these new groups either 431 00:22:48,359 --> 00:22:52,359 Speaker 1: sort of as different from what came before it. I 432 00:22:52,400 --> 00:22:54,399 Speaker 1: think it's hard for a lot of the groups, it's 433 00:22:54,440 --> 00:22:57,000 Speaker 1: hard to like see what their politics are, and some 434 00:22:57,040 --> 00:22:59,879 Speaker 1: of them aren't even Like there's things like the lack 435 00:23:00,040 --> 00:23:04,840 Speaker 1: Sis that aren't specifically doing activism, but they're accidentally doing 436 00:23:05,000 --> 00:23:10,560 Speaker 1: anti corporate activism by just making everything like uh, that's 437 00:23:10,600 --> 00:23:12,520 Speaker 1: like groups that are like in the way that they 438 00:23:12,880 --> 00:23:15,520 Speaker 1: operate are very clear and inspired by my work that 439 00:23:15,560 --> 00:23:18,240 Speaker 1: I used to do um and they're just not very 440 00:23:18,280 --> 00:23:21,800 Speaker 1: like political per se. They but but I still call 441 00:23:21,880 --> 00:23:25,160 Speaker 1: them activists because even if it might not be their intention, 442 00:23:25,320 --> 00:23:29,280 Speaker 1: they're doing activism and they're making corporations angry and wasting 443 00:23:29,320 --> 00:23:34,160 Speaker 1: corporate resources, and in my book, that counts as like activism. 444 00:23:34,160 --> 00:23:36,320 Speaker 1: And the fact that they in a way fight for 445 00:23:36,480 --> 00:23:39,000 Speaker 1: like freedom of information, even if they might not be 446 00:23:39,080 --> 00:23:42,640 Speaker 1: the goal. Yeah, I don't know, I feel like that 447 00:23:42,720 --> 00:23:46,040 Speaker 1: is the man unifying factor now it's just a fight 448 00:23:46,080 --> 00:23:50,200 Speaker 1: for information because like they're currently like the single biggest 449 00:23:50,359 --> 00:23:54,800 Speaker 1: active activist thing happening right now, since like is just 450 00:23:55,359 --> 00:23:59,600 Speaker 1: leaking the whole activism thing that happened before as well, 451 00:23:59,640 --> 00:24:02,320 Speaker 1: but now that's like the main thing. Before it was 452 00:24:02,359 --> 00:24:04,680 Speaker 1: often a lot like just didosing and stuff. But now 453 00:24:04,720 --> 00:24:10,600 Speaker 1: we're so focused and like getting documents, getting software, getting files, 454 00:24:10,680 --> 00:24:15,200 Speaker 1: getting like proof that things happened, getting fucking no fly list. 455 00:24:15,720 --> 00:24:19,840 Speaker 1: It's just it's just a very different environment where like 456 00:24:20,280 --> 00:24:22,960 Speaker 1: the goals are probably about the same in a lot 457 00:24:23,000 --> 00:24:25,600 Speaker 1: of ways, at least for the people who do have 458 00:24:25,640 --> 00:24:29,720 Speaker 1: an ideology. But but like, yeah, I feel like it's 459 00:24:29,760 --> 00:24:34,240 Speaker 1: just much more focused on like releasing information into the free, 460 00:24:34,240 --> 00:24:36,840 Speaker 1: which I find really great. Like that that is kind 461 00:24:36,880 --> 00:24:51,280 Speaker 1: of my big fight that I tried to devote myself too. Yeah, 462 00:24:51,480 --> 00:24:53,320 Speaker 1: I wanted to ask also sort of just about your 463 00:24:53,320 --> 00:24:56,320 Speaker 1: personal archism, because I don't know, I like talking about 464 00:24:56,400 --> 00:25:02,640 Speaker 1: narchism and yeah, everyone has to around. Um, I don't know, 465 00:25:03,600 --> 00:25:05,840 Speaker 1: it's it's it's a difficult question, and I feel my 466 00:25:05,880 --> 00:25:09,920 Speaker 1: answer to this question changes like every other thing. Um. 467 00:25:10,040 --> 00:25:12,159 Speaker 1: I especially find it hard because like I am like 468 00:25:12,280 --> 00:25:17,200 Speaker 1: doing work in very specific focus bits of like anarchists work, 469 00:25:17,359 --> 00:25:19,800 Speaker 1: and so I don't really want to look myself into 470 00:25:20,040 --> 00:25:23,000 Speaker 1: like I'm sorry. So so it's it's like very fluid. 471 00:25:23,040 --> 00:25:27,040 Speaker 1: I'm just like obviously against states. I am like, I 472 00:25:27,080 --> 00:25:32,479 Speaker 1: don't know, it's it's hard. No no governments, no shedy 473 00:25:32,520 --> 00:25:35,639 Speaker 1: co operations, and it's just like having fun with friends 474 00:25:35,680 --> 00:25:38,600 Speaker 1: and being gay. That is like the rules we take 475 00:25:38,680 --> 00:25:43,359 Speaker 1: this is this is a good form of a Yeah, 476 00:25:43,480 --> 00:25:48,760 Speaker 1: I don't know, it's just some form of like queer anarchism. Yeah, 477 00:25:48,800 --> 00:25:50,800 Speaker 1: being gay and doing crimes, it's a it's a good 478 00:25:50,800 --> 00:25:54,199 Speaker 1: it's a good thing. I guess in a way, like 479 00:25:54,280 --> 00:25:56,720 Speaker 1: what kind of defines me and what keeps getting me 480 00:25:56,760 --> 00:25:58,800 Speaker 1: into the spotlight is that I do just kind of 481 00:25:58,840 --> 00:26:02,000 Speaker 1: have like a very strong moral compass and I go 482 00:26:02,160 --> 00:26:05,119 Speaker 1: by that rather by what's legal or not legal or 483 00:26:05,840 --> 00:26:07,879 Speaker 1: like sure, I try to stay with him like some 484 00:26:07,960 --> 00:26:13,199 Speaker 1: safe boundaries, especially now like post indictment, um, given that 485 00:26:13,280 --> 00:26:16,280 Speaker 1: they're definitely even more eyes on me now than than 486 00:26:16,359 --> 00:26:19,280 Speaker 1: before and this podcast is definitely being played at some 487 00:26:19,480 --> 00:26:26,480 Speaker 1: n Yeah, there's there's there's ah, so that's something to consider, 488 00:26:27,080 --> 00:26:30,560 Speaker 1: but like, yeah, I feel like I feel like that's 489 00:26:30,640 --> 00:26:33,280 Speaker 1: kind of what I want to demonstrate this that like, 490 00:26:33,600 --> 00:26:36,360 Speaker 1: if you have morals, you can't just stick by them, 491 00:26:36,520 --> 00:26:39,600 Speaker 1: Like no one is stopping you from doing that. They 492 00:26:39,680 --> 00:26:42,479 Speaker 1: might try to, but like you can just stick with 493 00:26:42,560 --> 00:26:45,480 Speaker 1: your morals. Yeah, and I think it's I think it's 494 00:26:45,480 --> 00:26:48,280 Speaker 1: worth mentioning even like you know, okay, like a lot 495 00:26:48,320 --> 00:26:50,359 Speaker 1: of people go to prison for doing stuff like this, 496 00:26:50,640 --> 00:26:53,560 Speaker 1: some of them didn't like there there there's like, to 497 00:26:53,640 --> 00:26:55,600 Speaker 1: the best of my knowledge, there is at least still 498 00:26:55,720 --> 00:26:57,760 Speaker 1: one low set guy who's just in the wind who 499 00:26:57,840 --> 00:27:01,800 Speaker 1: they never got and like and sick, like they they 500 00:27:01,800 --> 00:27:04,159 Speaker 1: had a fed mole in the group and one of 501 00:27:04,200 --> 00:27:08,359 Speaker 1: these people still got away. Fox up. Yeah, just just 502 00:27:09,119 --> 00:27:14,800 Speaker 1: just fox. So I really don't do says basically the 503 00:27:14,840 --> 00:27:18,600 Speaker 1: guy that the Feds flipped inside of Losak, who got 504 00:27:18,600 --> 00:27:22,320 Speaker 1: it was at the prison. Um, Like I do have 505 00:27:22,359 --> 00:27:24,840 Speaker 1: to say, I kind of get why he flipped, like 506 00:27:24,880 --> 00:27:27,280 Speaker 1: he at that point already had a family and stuff. 507 00:27:27,320 --> 00:27:31,080 Speaker 1: But like I get that it is hard, but still, yeah, 508 00:27:31,160 --> 00:27:35,600 Speaker 1: gave up your friends, Yeah, you simply do not tasty like, like, 509 00:27:35,880 --> 00:27:38,640 Speaker 1: I don't know, and the fact that he still has 510 00:27:38,720 --> 00:27:41,840 Speaker 1: some sort of image. Honestly, I don't know that it's 511 00:27:41,880 --> 00:27:47,760 Speaker 1: just it's just infra sex commune. Uh, I don't know. 512 00:27:47,920 --> 00:27:52,280 Speaker 1: It's it's interesting for sure, but yeah, I can't come 513 00:27:52,320 --> 00:27:54,679 Speaker 1: in too much of a lot of fun. There are 514 00:27:54,680 --> 00:27:59,280 Speaker 1: a lot of funny chokes to be made that I shouldn't. Yeah, 515 00:27:59,480 --> 00:28:02,440 Speaker 1: the Feds suck. I just I'm just gonna say that, like, 516 00:28:03,080 --> 00:28:05,720 Speaker 1: oh god, it's it's been. It's it's it's been. It's 517 00:28:05,720 --> 00:28:08,880 Speaker 1: been a bad week of Feds in the US too, 518 00:28:09,240 --> 00:28:14,360 Speaker 1: Like yeah, honestly, just one thing again. But I am 519 00:28:14,480 --> 00:28:17,480 Speaker 1: so curious what's going to happen with the Congression link. Yeah, 520 00:28:17,560 --> 00:28:21,240 Speaker 1: I don't know if you saw that, like, especially since 521 00:28:21,280 --> 00:28:24,199 Speaker 1: like this means that the Republicans are going to be 522 00:28:24,240 --> 00:28:29,720 Speaker 1: exposed to my block post presumably. Ah, And I am 523 00:28:29,840 --> 00:28:32,280 Speaker 1: so excited for all the slurs they can come up with. 524 00:28:33,920 --> 00:28:35,920 Speaker 1: It is going to be extremely funny. But I'm also 525 00:28:36,040 --> 00:28:38,400 Speaker 1: very excited for like the Turfs to be like this 526 00:28:38,480 --> 00:28:42,880 Speaker 1: is terrorism. See we'll be right along. Yeah, yeah, I 527 00:28:42,880 --> 00:28:46,120 Speaker 1: have gotten that before. I have gotten terrfree place before 528 00:28:46,600 --> 00:28:49,440 Speaker 1: on like articles about me where they were like see, no, 529 00:28:49,720 --> 00:28:53,000 Speaker 1: women don't commit crime. So this is clear proof that 530 00:28:53,400 --> 00:28:57,360 Speaker 1: it's just like what what are you talking about? This 531 00:28:57,400 --> 00:29:01,760 Speaker 1: is this is my male cheenes coming out was like, man, 532 00:29:03,360 --> 00:29:04,959 Speaker 1: like do do you do? You do? You do? You 533 00:29:05,080 --> 00:29:07,800 Speaker 1: know what people what people did, so you have the 534 00:29:07,880 --> 00:29:12,360 Speaker 1: right to vote, Like come on that, Like that's the 535 00:29:12,360 --> 00:29:15,200 Speaker 1: funny thing is that they at the same time also 536 00:29:15,280 --> 00:29:18,080 Speaker 1: like fetishizes the whole Suffragette thing. Yeah, I think, no 537 00:29:18,200 --> 00:29:20,920 Speaker 1: fucking clue what that movement? Yeah, it's like no, no, 538 00:29:20,920 --> 00:29:25,960 Speaker 1: no suffragette what what whatever? Horsewhip richie sunac not no 539 00:29:26,040 --> 00:29:33,120 Speaker 1: turf whatever, unlike unlike the suffragettes, who Yeah, exactly, I 540 00:29:33,120 --> 00:29:36,240 Speaker 1: don't know, it's it's silly. I'm surprised how little harassment 541 00:29:36,240 --> 00:29:39,280 Speaker 1: I've gotten on Twitter so far if we exclude the 542 00:29:39,320 --> 00:29:45,000 Speaker 1: whole by lesbian this. Yeah, I'm so sorry for restarting that. 543 00:29:45,120 --> 00:29:48,160 Speaker 1: This course, I think me talking about that single handedly 544 00:29:48,200 --> 00:29:52,800 Speaker 1: restarted that this card. It just happened. It just happens periodically, 545 00:29:53,000 --> 00:29:56,680 Speaker 1: like yeah, yeah, it's just funny because like I was 546 00:29:56,760 --> 00:29:59,280 Speaker 1: just like, yeah, this is gonna get me some hatred place. 547 00:29:59,320 --> 00:30:03,600 Speaker 1: But like within five minutes I had twenty one private quote. Yeah, 548 00:30:03,600 --> 00:30:05,800 Speaker 1: I mean like my, my, my, I won't wake an 549 00:30:05,840 --> 00:30:07,680 Speaker 1: official statement on that, which is that if you give 550 00:30:07,680 --> 00:30:10,960 Speaker 1: a single ship about people calling themselves by lesbians, like, 551 00:30:12,080 --> 00:30:14,160 Speaker 1: please let me know so who I can trade lives 552 00:30:14,200 --> 00:30:17,400 Speaker 1: with you? Like you you seem to have like very 553 00:30:17,520 --> 00:30:20,880 Speaker 1: few problems going on. I would love to like have 554 00:30:21,040 --> 00:30:23,560 Speaker 1: grown up in the world where like that's like that's 555 00:30:23,600 --> 00:30:26,880 Speaker 1: the thing that you think, Like, I don't know why 556 00:30:27,040 --> 00:30:29,680 Speaker 1: I think it's I think it's funny how there's people 557 00:30:29,760 --> 00:30:32,960 Speaker 1: who were like wanting to follow me, wanting to interact 558 00:30:33,000 --> 00:30:37,480 Speaker 1: with me as like and it's it's uh theory and 559 00:30:37,600 --> 00:30:42,560 Speaker 1: kitten who like does uh funny things to the U. S. Government, 560 00:30:42,640 --> 00:30:46,560 Speaker 1: But then they draw the line at at the specific sexuality. Yeah, 561 00:30:46,600 --> 00:30:49,520 Speaker 1: it's like really like I I then made like a 562 00:30:49,560 --> 00:30:51,760 Speaker 1: post where I was like, sorry, I deleted that I 563 00:30:51,800 --> 00:30:53,960 Speaker 1: didn't I don't have the energy to deal with people 564 00:30:54,000 --> 00:30:56,720 Speaker 1: getting so upset over an innocent word and that has 565 00:30:56,720 --> 00:30:59,920 Speaker 1: gotten so many many quoteweets being like yeah, and then 566 00:31:00,040 --> 00:31:02,120 Speaker 1: isn't word in question was by lesbian? I say if 567 00:31:02,160 --> 00:31:04,480 Speaker 1: I said like the N word or something like that 568 00:31:04,560 --> 00:31:07,040 Speaker 1: was literally the kind of response I got. And it's 569 00:31:07,080 --> 00:31:10,240 Speaker 1: just like do you not have anything else to do? Like, 570 00:31:11,360 --> 00:31:15,160 Speaker 1: like do you know how many people the cops killed 571 00:31:15,240 --> 00:31:17,840 Speaker 1: last week? Can you please do something like come on 572 00:31:18,200 --> 00:31:21,520 Speaker 1: and all the things are happening here right now, Like 573 00:31:23,000 --> 00:31:25,239 Speaker 1: especially then when some of the people that come up 574 00:31:25,280 --> 00:31:28,120 Speaker 1: with that are like non binary lesbians, which if you 575 00:31:28,200 --> 00:31:31,440 Speaker 1: know anything about this purity in discourse, like half of 576 00:31:31,480 --> 00:31:34,840 Speaker 1: the them would also like from the sounder because non 577 00:31:34,880 --> 00:31:39,120 Speaker 1: binary lesbians also can't exist, and like it's why are 578 00:31:39,120 --> 00:31:42,600 Speaker 1: you why? Why are you fighting for the turf? Like that? 579 00:31:42,600 --> 00:31:46,400 Speaker 1: That is my one single question I have through all 580 00:31:46,480 --> 00:31:49,400 Speaker 1: the fourteen year old careers on Twitter dot com. Also, 581 00:31:49,480 --> 00:31:52,360 Speaker 1: why did that why did that escourse ever escape Tumbler? 582 00:31:52,480 --> 00:31:57,080 Speaker 1: Like that was because because all the Tumbler refugees came 583 00:31:57,080 --> 00:32:02,960 Speaker 1: to Twitter. Yeah, but they could have left a discourse there. Yeah, 584 00:32:03,120 --> 00:32:06,720 Speaker 1: but no, the world I don't know Twitter, Twitter, Twitter. 585 00:32:06,840 --> 00:32:09,880 Speaker 1: The last like like okay, like Twitter's diress course has 586 00:32:09,920 --> 00:32:13,400 Speaker 1: ever been good, but like in the last obviously it's 587 00:32:13,440 --> 00:32:17,719 Speaker 1: just been getting worse. And it's it's yeah, it's just 588 00:32:17,760 --> 00:32:19,800 Speaker 1: the same side, Like it's it's not even that it's 589 00:32:19,840 --> 00:32:23,360 Speaker 1: just bad discourse. It's just the same discourse every week, 590 00:32:23,560 --> 00:32:26,080 Speaker 1: And I'm just tired of it. And I guess now 591 00:32:26,120 --> 00:32:28,120 Speaker 1: that I'm a big account, I have to have an 592 00:32:28,160 --> 00:32:34,280 Speaker 1: opinion on everything. Um And also the fun part about 593 00:32:34,280 --> 00:32:39,479 Speaker 1: being trans everyone is like like absolutely razor focused for 594 00:32:39,560 --> 00:32:42,680 Speaker 1: like the exact one word that you say wrong so 595 00:32:42,680 --> 00:32:45,000 Speaker 1: they can act, so they can like like legitimately quote 596 00:32:45,040 --> 00:32:46,760 Speaker 1: unquote be t troobic at you. And it's like this 597 00:32:46,840 --> 00:32:48,600 Speaker 1: is great, Like this is a great system that we've 598 00:32:48,600 --> 00:32:52,520 Speaker 1: developed for existing with each other. You could simply not 599 00:32:52,760 --> 00:32:56,320 Speaker 1: do this, Yeah, you can just say like that. The 600 00:32:56,400 --> 00:32:58,920 Speaker 1: fact that literally, like I was like, I'm gonna see 601 00:32:58,960 --> 00:33:01,400 Speaker 1: what happens if I by lesbian and then I can't 602 00:33:01,440 --> 00:33:05,320 Speaker 1: wave twenty four followers, and and the fact that it 603 00:33:05,440 --> 00:33:08,760 Speaker 1: literally took seconds for people to tell me to tell 604 00:33:08,800 --> 00:33:12,160 Speaker 1: all their mutuals to unfollow me because I'm highly problematic. 605 00:33:12,680 --> 00:33:15,719 Speaker 1: Um was it was quite interesting. And someone was just 606 00:33:15,760 --> 00:33:18,640 Speaker 1: like this has completely shattered my world view, and I'm 607 00:33:18,680 --> 00:33:21,360 Speaker 1: just like sorry, if your world view gets shattered by 608 00:33:21,400 --> 00:33:25,280 Speaker 1: my sexuality, you have some soul seeking to do. Like yeah, 609 00:33:25,560 --> 00:33:33,680 Speaker 1: like like like like like like actually like like I grew, 610 00:33:33,720 --> 00:33:36,840 Speaker 1: I grew like like for some of them. For some people, 611 00:33:37,160 --> 00:33:40,800 Speaker 1: me saying the phrase by lesbian was generally like my 612 00:33:40,880 --> 00:33:43,200 Speaker 1: milkshake doc moment. Yeah, it was like it was like 613 00:33:43,280 --> 00:33:48,160 Speaker 1: a second it called a second sexuality description as hit 614 00:33:48,200 --> 00:33:54,080 Speaker 1: the towers, like it was, Yeah, it's so like god, 615 00:33:54,360 --> 00:33:56,640 Speaker 1: it was like five am when I made that tweet. 616 00:33:56,680 --> 00:33:58,080 Speaker 1: It was just like, oh, I'm going to get a 617 00:33:58,160 --> 00:34:01,760 Speaker 1: little silly with it, and and I just expected like 618 00:34:01,800 --> 00:34:04,840 Speaker 1: a backlash but not that much. It was just too much. 619 00:34:05,160 --> 00:34:08,880 Speaker 1: And yeah, like I know, it's not like backlash that 620 00:34:08,960 --> 00:34:11,359 Speaker 1: matters and I should just ignore it. But it's like 621 00:34:12,400 --> 00:34:15,120 Speaker 1: so overwhelming. Yeah, I guess do you do you have 622 00:34:15,120 --> 00:34:17,319 Speaker 1: anything else that you want to say? I don't know. 623 00:34:17,520 --> 00:34:20,640 Speaker 1: I think that's that covers like most of the things 624 00:34:20,800 --> 00:34:26,000 Speaker 1: I have to talk about. H Yeah, just like be 625 00:34:26,160 --> 00:34:31,040 Speaker 1: Ga to crime, Hacked the Planet, Oh my god, it 626 00:34:31,160 --> 00:34:33,680 Speaker 1: was genuinely it is one of my favorite things in 627 00:34:33,719 --> 00:34:36,200 Speaker 1: the world. That they made the movie Hackers, and it 628 00:34:36,280 --> 00:34:39,920 Speaker 1: was the worst de picture. But then also like like 629 00:34:40,600 --> 00:34:43,560 Speaker 1: I it was like so I did watch them. I mean, okay, 630 00:34:43,600 --> 00:34:46,200 Speaker 1: I watched it, like not to the first time. Like 631 00:34:46,200 --> 00:34:48,759 Speaker 1: it wasn't like like like I was, I was like 632 00:34:48,800 --> 00:34:50,640 Speaker 1: not that well when I watched it, but it was 633 00:34:50,719 --> 00:34:53,879 Speaker 1: after I like first ran into Hackers. So it took 634 00:34:53,920 --> 00:34:56,759 Speaker 1: me a while to figure out that, like, wait, hold on, no, 635 00:34:56,920 --> 00:34:59,359 Speaker 1: hack the Planet is the thing that everyone says, but 636 00:34:59,400 --> 00:35:03,439 Speaker 1: that's actually because it's a joke for Hackers, which I see. 637 00:35:04,040 --> 00:35:06,680 Speaker 1: I still find it funny how Hackers is a movie 638 00:35:06,719 --> 00:35:10,280 Speaker 1: that got hacking culture completely wrong and changed it forever, 639 00:35:11,120 --> 00:35:14,120 Speaker 1: because like because like there's I don't know if you've 640 00:35:14,160 --> 00:35:18,239 Speaker 1: ever seen that, but from like Defcon from there's a 641 00:35:18,320 --> 00:35:21,640 Speaker 1: page on the official Deacon website talking about how bad 642 00:35:21,680 --> 00:35:23,920 Speaker 1: Hackers is and how it gets everything wrong and no 643 00:35:23,960 --> 00:35:26,319 Speaker 1: one should watch this movie. And now you look at 644 00:35:26,400 --> 00:35:29,440 Speaker 1: this like twenty years later, and that's just what hacking 645 00:35:29,480 --> 00:35:34,120 Speaker 1: culture turned in. Yeah, the most incredible thing about Hackers 646 00:35:34,280 --> 00:35:38,040 Speaker 1: is that someone managed to get the queerest fucking movie 647 00:35:38,400 --> 00:35:42,960 Speaker 1: ever made made by one of the biggest companies in Hollywood, 648 00:35:43,080 --> 00:35:46,239 Speaker 1: and also make it about hacking, and like it's it's 649 00:35:46,280 --> 00:35:49,799 Speaker 1: the best piece of cinema ever. And I stand by this, 650 00:35:49,960 --> 00:35:52,799 Speaker 1: like it fucking sucks in a lot of ways, but 651 00:35:52,920 --> 00:35:55,719 Speaker 1: it's just they just managed to make a movie where 652 00:35:55,800 --> 00:36:01,279 Speaker 1: no one has says somehow essentiallya shally like, so no 653 00:36:01,360 --> 00:36:07,120 Speaker 1: one says it's pretty amazing. I will say the two 654 00:36:07,160 --> 00:36:11,319 Speaker 1: Asian characters are kind of whack, but other than that, 655 00:36:11,400 --> 00:36:14,359 Speaker 1: it's like, yeah, it's a it's a like like it's 656 00:36:14,400 --> 00:36:17,279 Speaker 1: it's a whack movie. Like like if you look at 657 00:36:17,280 --> 00:36:20,279 Speaker 1: it objectively, it's a pretty bad movie. Like like there's 658 00:36:20,360 --> 00:36:22,479 Speaker 1: you know, there was like a lot of way stuff 659 00:36:22,480 --> 00:36:25,160 Speaker 1: in the nineties is absolutely terrible. But also like there 660 00:36:25,200 --> 00:36:26,960 Speaker 1: was stuff you could just do in movies in the 661 00:36:27,040 --> 00:36:30,480 Speaker 1: nineties that like you can't now, like like okay, well, 662 00:36:30,480 --> 00:36:32,600 Speaker 1: like what my example this is. I may have said 663 00:36:32,600 --> 00:36:35,319 Speaker 1: this on the podcast before, but like they so they 664 00:36:34,880 --> 00:36:40,120 Speaker 1: they did a like completely straight like modern day live 665 00:36:40,160 --> 00:36:44,440 Speaker 1: adaptation of Romeo and Juliet that is like it's Romeo 666 00:36:44,480 --> 00:36:47,840 Speaker 1: and Juliet. It's it's exactly the lines in Shakespeare, but 667 00:36:47,880 --> 00:36:52,160 Speaker 1: it's like with characters set in like the like modern 668 00:36:52,160 --> 00:36:54,600 Speaker 1: times and they're shooting guns each other, but like what 669 00:36:54,600 --> 00:36:55,880 Speaker 1: what do these happens to? That is there's just like 670 00:36:55,960 --> 00:36:58,200 Speaker 1: a black guy doing drag and it's just like a thing, 671 00:36:58,400 --> 00:37:00,399 Speaker 1: like nobody comments on it, like it's just a thing 672 00:37:00,440 --> 00:37:02,799 Speaker 1: that he's having a good time. And you could not 673 00:37:02,880 --> 00:37:05,719 Speaker 1: like like people people people would show up to yeah, 674 00:37:05,760 --> 00:37:08,040 Speaker 1: like people people which people like yeah, like I won't 675 00:37:08,040 --> 00:37:11,120 Speaker 1: be on Tucker Carlson like like the people people. Yeah, 676 00:37:11,120 --> 00:37:13,000 Speaker 1: you'd have like mobs showing up in front of your 677 00:37:13,040 --> 00:37:17,399 Speaker 1: house like it's yeah, yeah, like I don't know, Like, yeah, 678 00:37:17,480 --> 00:37:21,480 Speaker 1: if Hackers came out now, we would have like Tucker 679 00:37:21,560 --> 00:37:24,840 Speaker 1: Carson complaining about the woke up trying to make the 680 00:37:24,920 --> 00:37:31,279 Speaker 1: kids and too gay activists, Like I don't know. I 681 00:37:31,680 --> 00:37:34,720 Speaker 1: love the movie so much, not not because it's good, 682 00:37:34,800 --> 00:37:41,800 Speaker 1: but because it's culturally important. Yes, and yeah, and the 683 00:37:41,920 --> 00:37:45,320 Speaker 1: characters are like great, like they made everyone career somehow, 684 00:37:45,360 --> 00:37:48,080 Speaker 1: and I'm still not sure whether that was intentional or not. 685 00:37:48,320 --> 00:37:52,120 Speaker 1: I don't know, but I leaned towards they didn't know 686 00:37:52,160 --> 00:37:55,040 Speaker 1: what they were doing, and that makes it even funnier. Yeah, 687 00:37:55,080 --> 00:37:57,160 Speaker 1: it makes it so much better. And also the fact 688 00:37:57,160 --> 00:37:59,960 Speaker 1: that it's like go off past like producers and everything, 689 00:38:00,040 --> 00:38:03,360 Speaker 1: and it was mazing, the queerest piece of like Hollywood 690 00:38:03,400 --> 00:38:06,480 Speaker 1: media I have ever seen that wasn't meant to be queer. 691 00:38:06,920 --> 00:38:11,360 Speaker 1: It's just like, yeah, yeah, cool time we went on 692 00:38:11,400 --> 00:38:14,480 Speaker 1: this tension because yeah, we we we we we We 693 00:38:14,640 --> 00:38:17,120 Speaker 1: simply love to see it be gay do crimes hack 694 00:38:17,200 --> 00:38:20,120 Speaker 1: the planet? Uh, this is not legally for the FBI, 695 00:38:20,200 --> 00:38:24,040 Speaker 1: This is not legally actionable. This is a joke. As 696 00:38:24,040 --> 00:38:28,360 Speaker 1: you can tell, yes, from the movie Hackers, which you 697 00:38:28,360 --> 00:38:35,040 Speaker 1: could watch Hackers, yeah in places. Yeah, if you can 698 00:38:35,080 --> 00:38:38,080 Speaker 1: watch it very legally on the Internet. I actually don't 699 00:38:38,080 --> 00:38:40,480 Speaker 1: know if it's on any streaming platform. I don't think 700 00:38:40,520 --> 00:38:44,040 Speaker 1: I watched it. I think it is because I watched 701 00:38:44,040 --> 00:38:46,000 Speaker 1: it with my family kind of recently, which was a 702 00:38:46,040 --> 00:38:51,440 Speaker 1: wild time. It's probably streaming. Oh it's it's an Apple 703 00:38:51,520 --> 00:38:55,040 Speaker 1: TV apparently. Yeah, so it's there. You can find it there. 704 00:38:55,160 --> 00:38:57,040 Speaker 1: You can find it in other places. It can it 705 00:38:57,120 --> 00:39:01,759 Speaker 1: can find it somewhere, both legally and illegally. If I'm 706 00:39:01,800 --> 00:39:06,520 Speaker 1: allowed to endorse, like h piracy on your podcast, it's 707 00:39:06,640 --> 00:39:08,480 Speaker 1: we we We did an entire episode about how the 708 00:39:08,480 --> 00:39:12,360 Speaker 1: pirate stuff. So yeah, so yeah, you can find it 709 00:39:12,400 --> 00:39:14,799 Speaker 1: both legally and illegally, and if you're lucky, I'm the 710 00:39:14,840 --> 00:39:20,960 Speaker 1: one seeding the Torrent. And then I say, okay, but 711 00:39:21,320 --> 00:39:23,280 Speaker 1: the other thing I actually should before you. If people 712 00:39:23,320 --> 00:39:26,160 Speaker 1: want to find you, where can they find you? I'm 713 00:39:26,200 --> 00:39:29,479 Speaker 1: on Twitter at Underscore nine crime you and in case 714 00:39:29,480 --> 00:39:32,520 Speaker 1: Twitter suspends me once again for the sixth time, I 715 00:39:32,560 --> 00:39:35,040 Speaker 1: have a website at Maya dot crime you dot k 716 00:39:35,760 --> 00:39:40,319 Speaker 1: it rules. It's so good it Yes, that is the 717 00:39:40,360 --> 00:39:43,760 Speaker 1: reason I'm famous now, it's just because my website is paying. 718 00:39:44,360 --> 00:39:50,480 Speaker 1: It's great. Yeah. So this this has been make it 719 00:39:50,520 --> 00:39:53,439 Speaker 1: Happen Here. You can find us at Happened Here pod, 720 00:39:53,960 --> 00:39:57,880 Speaker 1: at Twitter, Instagram, UM yeah, I guess I am at 721 00:39:57,960 --> 00:40:03,560 Speaker 1: BC R three, Uh yeah, go and go and crime. 722 00:40:08,280 --> 00:40:10,279 Speaker 1: It could Happen Here as a production of cool Zone 723 00:40:10,320 --> 00:40:13,120 Speaker 1: Media or more podcasts from cool Zone Media. Visit our 724 00:40:13,160 --> 00:40:15,600 Speaker 1: website cool zone media dot com, or check us out 725 00:40:15,600 --> 00:40:18,120 Speaker 1: on the I Heart Radio app, Apple Podcasts, or wherever 726 00:40:18,160 --> 00:40:20,880 Speaker 1: you listen to podcasts. You can find sources for It 727 00:40:20,920 --> 00:40:23,839 Speaker 1: could Happen Here, updated monthly at cool zone Media dot 728 00:40:23,880 --> 00:40:26,080 Speaker 1: com slash sources. Thanks for listening,