1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,680 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,760 --> 00:00:28,360 Speaker 1: My name is Matt, my name is Nolan. They called 6 00:00:28,360 --> 00:00:31,360 Speaker 1: me Ben. We're joined as always with our super producer 7 00:00:31,480 --> 00:00:36,080 Speaker 1: Alexis code named Doc Holiday Jackson. Most importantly, you are you. 8 00:00:36,080 --> 00:00:38,800 Speaker 1: You are here, and that makes this the stuff they 9 00:00:38,880 --> 00:00:41,640 Speaker 1: don't want you to know. It's the top of the week, 10 00:00:41,720 --> 00:00:44,960 Speaker 1: fellow conspiracy realist, which means it is time for some 11 00:00:45,159 --> 00:00:49,479 Speaker 1: strange news. If you have jumped in spoiler free with 12 00:00:49,600 --> 00:00:52,239 Speaker 1: no idea what we're going to talk about, there may 13 00:00:52,280 --> 00:00:56,720 Speaker 1: be any number of potential news pieces you think will hit. 14 00:00:57,480 --> 00:01:01,200 Speaker 1: There are spies speaking out against the South, the Arabian government, 15 00:01:01,560 --> 00:01:06,200 Speaker 1: that's one. Things are going nuts again in Sudan, that's too. 16 00:01:06,600 --> 00:01:11,560 Speaker 1: There are no shortages, of course, scams, debates over legal 17 00:01:11,680 --> 00:01:16,920 Speaker 1: personhood promises made and forgotten by politicians of every stripe 18 00:01:17,000 --> 00:01:20,560 Speaker 1: in every country in short uh oh. And then further 19 00:01:20,640 --> 00:01:22,839 Speaker 1: studies came out and said, yes, the world is burning 20 00:01:22,840 --> 00:01:25,480 Speaker 1: down faster than we thought, and we're watching it. Happen 21 00:01:25,560 --> 00:01:28,160 Speaker 1: as the United States again gets hit by like six 22 00:01:28,240 --> 00:01:31,760 Speaker 1: storms at once, and were just collectively that cartoon dog 23 00:01:32,000 --> 00:01:34,319 Speaker 1: watching all of this and sitting in our little kitchen 24 00:01:34,319 --> 00:01:37,600 Speaker 1: table saying everything's fine. That's all we are, and maybe 25 00:01:37,600 --> 00:01:41,039 Speaker 1: a different breed of dog than they due to the nihilism. 26 00:01:41,240 --> 00:01:43,920 Speaker 1: But but yeah, fine means a lot of things. Here 27 00:01:43,959 --> 00:01:47,240 Speaker 1: we go, folks, it is it is time yet again 28 00:01:47,360 --> 00:01:50,840 Speaker 1: for strange news. We've got some stories on the very 29 00:01:51,000 --> 00:01:54,559 Speaker 1: edge of technology. We've got some stories on the very 30 00:01:54,760 --> 00:01:59,200 Speaker 1: edge of the future of identity as well, I would say. 31 00:01:59,280 --> 00:02:03,600 Speaker 1: And then we have a story that is a new 32 00:02:03,640 --> 00:02:06,360 Speaker 1: twist on something very old. And you may see my 33 00:02:06,440 --> 00:02:10,040 Speaker 1: colleagues and I take our cynicism out and drive it 34 00:02:10,040 --> 00:02:12,800 Speaker 1: around the block because that one, oh boy, you just 35 00:02:12,840 --> 00:02:16,720 Speaker 1: can't trust people. And maybe that's where our first story starts. Huh, yeah, 36 00:02:16,800 --> 00:02:19,880 Speaker 1: the old, the gold fashioned grift. Before I get into 37 00:02:19,919 --> 00:02:21,920 Speaker 1: the griftiness of it all, let's just see how this 38 00:02:22,000 --> 00:02:26,120 Speaker 1: sounds to everybody. What if there were a food delivery 39 00:02:26,240 --> 00:02:29,520 Speaker 1: service that, wait for it, it would rival Uber Eats, 40 00:02:29,639 --> 00:02:33,400 Speaker 1: or or if you're in Europe, something called delivery I 41 00:02:33,400 --> 00:02:36,480 Speaker 1: believe that's what it's called. But you could pay using 42 00:02:36,560 --> 00:02:40,480 Speaker 1: your cryptocurrency holdings without having to convert it to uh 43 00:02:40,600 --> 00:02:43,840 Speaker 1: fiat currency. So you know, while you're like earning interest 44 00:02:43,919 --> 00:02:47,200 Speaker 1: from your crypto investments, you can literally just tie that 45 00:02:47,280 --> 00:02:50,760 Speaker 1: to um, you know, a food delivery service and pay 46 00:02:50,840 --> 00:02:52,839 Speaker 1: with a fraction of a bitcoin or a light coin 47 00:02:52,960 --> 00:02:55,840 Speaker 1: or a you know etherory UM sounds pretty cool, right. 48 00:02:55,960 --> 00:02:58,160 Speaker 1: It seems like, you know, people that are in that 49 00:02:58,200 --> 00:03:00,320 Speaker 1: space are looking for ways, i mean use not the 50 00:03:00,360 --> 00:03:02,840 Speaker 1: easiest thing in the world to spend uh. It's more 51 00:03:02,840 --> 00:03:05,480 Speaker 1: of something that you hold onto or total as they 52 00:03:05,480 --> 00:03:09,640 Speaker 1: say in the in the cryptosphere, UM, but like it's 53 00:03:09,680 --> 00:03:12,000 Speaker 1: not the easiest thing to spend on like, you know, 54 00:03:12,080 --> 00:03:14,560 Speaker 1: goods and services yet in the United States. So this 55 00:03:14,600 --> 00:03:18,200 Speaker 1: seems like a great idea to me, UM. But as 56 00:03:18,200 --> 00:03:22,919 Speaker 1: it turns out, this whole idea is an elaborate roots, 57 00:03:23,400 --> 00:03:30,080 Speaker 1: an elaborate grift. Crypto eats UM very originally titled UM 58 00:03:30,520 --> 00:03:34,240 Speaker 1: was you know, put out a proper press release claiming 59 00:03:34,240 --> 00:03:38,120 Speaker 1: to have raised like eight million dollars in Series A funding, 60 00:03:38,360 --> 00:03:42,160 Speaker 1: which is the kind of talk investors like to hear. UM. 61 00:03:42,280 --> 00:03:45,360 Speaker 1: They you know, had events around this brand where they like, 62 00:03:45,400 --> 00:03:48,880 Speaker 1: you know, had all of these delivery vehicles. Like on display, 63 00:03:48,920 --> 00:03:52,080 Speaker 1: they hired you know, TikTok influencers as a UK thing, 64 00:03:52,120 --> 00:03:56,120 Speaker 1: TikTok influences from the UK to basically pimp out this brand. 65 00:03:56,280 --> 00:04:00,000 Speaker 1: And and just in case anyone's not familiar, the way, um, 66 00:04:00,240 --> 00:04:04,520 Speaker 1: some of these crypto projects work is you buy a coin. 67 00:04:04,920 --> 00:04:07,560 Speaker 1: They meant this coin, you know, in in the blockchain 68 00:04:07,600 --> 00:04:11,240 Speaker 1: that's verified by the blockchain UM, and you're essentially investing 69 00:04:11,360 --> 00:04:15,560 Speaker 1: in a project by investing in that coin. Oftentimes, UM 70 00:04:15,720 --> 00:04:18,039 Speaker 1: it's them trying to raise capital, you know, to to 71 00:04:18,160 --> 00:04:21,160 Speaker 1: do the thing, but you usually get some sort of 72 00:04:21,160 --> 00:04:23,560 Speaker 1: fringe benefits for investing in the coin, like in this case, 73 00:04:23,600 --> 00:04:27,599 Speaker 1: they were promising five percent off all orders for holders 74 00:04:27,600 --> 00:04:30,880 Speaker 1: of the token. So essentially, like a token is a 75 00:04:30,960 --> 00:04:35,240 Speaker 1: uh let's say, let's call it proprietary crypto coin. The 76 00:04:35,279 --> 00:04:39,000 Speaker 1: ones that fail are often called coins because there's no 77 00:04:39,320 --> 00:04:44,000 Speaker 1: nothing backing them. But in these kind of uh niche 78 00:04:44,000 --> 00:04:46,800 Speaker 1: crypto spaces, you know, people are always looking for the 79 00:04:46,800 --> 00:04:49,000 Speaker 1: next big crypto project. Exactly what this was. You have 80 00:04:49,080 --> 00:04:52,360 Speaker 1: these uh you know, these influencers on TikTok saying, oh yeah, 81 00:04:52,440 --> 00:04:54,840 Speaker 1: the crypto eats gonna be the next big thing. Invest 82 00:04:54,880 --> 00:04:57,560 Speaker 1: in it now. Uh, it goes you know, for sale 83 00:04:57,560 --> 00:04:59,880 Speaker 1: on the market on the first of October. Get in 84 00:05:00,000 --> 00:05:01,719 Speaker 1: while it's hot. It's gonna be the next big, you 85 00:05:01,760 --> 00:05:03,919 Speaker 1: know brand, It's gonna be a you know, a competitor 86 00:05:03,960 --> 00:05:07,720 Speaker 1: for Uber eats UM. And you know, people that were 87 00:05:07,720 --> 00:05:11,000 Speaker 1: watching this saw it rise and rise and rise until 88 00:05:11,040 --> 00:05:13,640 Speaker 1: they had a massed about a half a million dollars 89 00:05:13,760 --> 00:05:18,360 Speaker 1: UM in selling these tokens. And then the creators of 90 00:05:18,440 --> 00:05:21,960 Speaker 1: this did what's called a rug poll where they essentially 91 00:05:22,520 --> 00:05:26,400 Speaker 1: all of the information surrounding this UM this brand was 92 00:05:26,560 --> 00:05:29,960 Speaker 1: entirely fabricated. UM. They claimed to have partnerships with Nando, 93 00:05:30,080 --> 00:05:33,920 Speaker 1: which is a very popular UM like Perry Perry Chicken franchise, 94 00:05:34,000 --> 00:05:35,880 Speaker 1: very popular in the UK. There's a few in the 95 00:05:35,920 --> 00:05:37,520 Speaker 1: in the States, but it's mainly a big UK thing, 96 00:05:37,520 --> 00:05:40,919 Speaker 1: and McDonald's. UM. They had this event, you know, this 97 00:05:41,000 --> 00:05:44,360 Speaker 1: influencers showed up, all of these influencers pumping this price 98 00:05:44,560 --> 00:05:47,520 Speaker 1: up for this coin, and then they just vanished. They 99 00:05:47,600 --> 00:05:54,640 Speaker 1: just ghosted with five hundred thousand pounds of investors money UM. 100 00:05:54,680 --> 00:05:56,599 Speaker 1: And that's that's that's really the story. I mean, while 101 00:05:56,720 --> 00:05:59,279 Speaker 1: you know, the crypto space is super interesting, and there's 102 00:05:59,279 --> 00:06:01,200 Speaker 1: a lot of neat things that are happening because it's 103 00:06:01,240 --> 00:06:03,919 Speaker 1: sort of like the wild West. That also means that 104 00:06:03,960 --> 00:06:05,680 Speaker 1: there's not a lot of regulation and there's nothing to 105 00:06:05,680 --> 00:06:10,240 Speaker 1: protect people from literally losing everything, uh to a scam. 106 00:06:10,480 --> 00:06:14,280 Speaker 1: The the CEO, supposedly a guy with a very innocuous name, 107 00:06:14,400 --> 00:06:19,000 Speaker 1: Wade Phillips, total fabrication, not a real human being. Um 108 00:06:19,160 --> 00:06:22,080 Speaker 1: even was like pictured in the press release purportedly this 109 00:06:22,240 --> 00:06:25,000 Speaker 1: this like this cool looking young hip dude with tattoos 110 00:06:25,040 --> 00:06:30,200 Speaker 1: holding a latte. Wade Phillips, not a real guy. Um. Yeah. 111 00:06:30,279 --> 00:06:33,839 Speaker 1: And so no recourse you know, for these folks because 112 00:06:34,200 --> 00:06:38,200 Speaker 1: even though these transactions are traceable, you know, on the blockchain, Um, 113 00:06:38,360 --> 00:06:41,080 Speaker 1: there's nothing anyone can do. This is the the risk 114 00:06:41,160 --> 00:06:44,000 Speaker 1: you run when you invest in these types of projects. 115 00:06:44,000 --> 00:06:47,360 Speaker 1: So I don't know, guys, ethically, I mean, obviously this 116 00:06:47,440 --> 00:06:50,799 Speaker 1: is trash behavior. Is this sort of like you should 117 00:06:50,800 --> 00:06:53,320 Speaker 1: have known better? Is this taking advantage of people that 118 00:06:53,360 --> 00:06:58,080 Speaker 1: are you know, not um seasoned? Uh? Is this just 119 00:06:58,120 --> 00:07:01,520 Speaker 1: part and parcel of this new kind of technology? Just quickly, 120 00:07:01,560 --> 00:07:05,640 Speaker 1: I would say there are people who are probably perceived 121 00:07:05,680 --> 00:07:09,039 Speaker 1: as ripe victims, right that exist here because there is 122 00:07:09,080 --> 00:07:11,680 Speaker 1: such interest and as you said, it is it is 123 00:07:11,720 --> 00:07:14,160 Speaker 1: such a new realm to get into if you've got 124 00:07:14,200 --> 00:07:18,560 Speaker 1: money to invest. Uh, it's messed up. But I I'm 125 00:07:18,720 --> 00:07:22,880 Speaker 1: kind of impressed in an in a morbid way, with 126 00:07:23,200 --> 00:07:26,320 Speaker 1: how much they did to pull this thing off, to 127 00:07:26,320 --> 00:07:29,640 Speaker 1: to create so much of a ruse there, to get 128 00:07:29,640 --> 00:07:32,640 Speaker 1: this thing going, to have an actual physical like launch 129 00:07:32,720 --> 00:07:36,960 Speaker 1: party with some celebrities. You know, there's this bouncer guy, 130 00:07:37,000 --> 00:07:39,320 Speaker 1: I don't know his name, but there's a bouncer here 131 00:07:39,360 --> 00:07:43,960 Speaker 1: who had like, yeah, who you know went to a 132 00:07:44,000 --> 00:07:47,400 Speaker 1: physical thing and they had they had actual delivery like 133 00:07:47,880 --> 00:07:53,320 Speaker 1: machinery outside and uh, their their official logo, their swag, 134 00:07:53,360 --> 00:07:56,040 Speaker 1: all that stuff. It's just I don't know, there's something 135 00:07:57,560 --> 00:08:00,720 Speaker 1: genius about that in a messed up way. Sure, all 136 00:08:00,760 --> 00:08:06,240 Speaker 1: the communication is online save for that that physical event. Right, 137 00:08:06,320 --> 00:08:11,960 Speaker 1: So it seems like in a way, the unless an 138 00:08:12,000 --> 00:08:15,840 Speaker 1: investigation reveals something else, it seems that the folks who 139 00:08:15,920 --> 00:08:21,560 Speaker 1: were touting this fake service were also getting getting taken 140 00:08:21,720 --> 00:08:24,600 Speaker 1: for a bath. Here are getting taken for a ride. 141 00:08:25,040 --> 00:08:28,480 Speaker 1: I would say there are more things like this occurring. 142 00:08:29,080 --> 00:08:33,200 Speaker 1: This hit the news because it is a it is 143 00:08:33,200 --> 00:08:35,840 Speaker 1: a scam based on a legitimate service. But think of 144 00:08:35,880 --> 00:08:38,240 Speaker 1: all the people who got ripped off in bitcoin scams 145 00:08:38,280 --> 00:08:41,400 Speaker 1: on the dark web, for instance. You can't very well 146 00:08:41,520 --> 00:08:45,040 Speaker 1: go to law enforcement and say these guys screwed me 147 00:08:45,080 --> 00:08:48,360 Speaker 1: out as so much opium. Right, So in this case 148 00:08:48,720 --> 00:08:53,720 Speaker 1: there's a higher than average chance of someone attempting to 149 00:08:54,120 --> 00:08:58,880 Speaker 1: at least take legal action. But where how far can 150 00:08:59,000 --> 00:09:02,760 Speaker 1: you race the bread crumbs here? I would I would note, 151 00:09:02,800 --> 00:09:07,760 Speaker 1: and I've said this before, that intelligence agencies at some 152 00:09:07,880 --> 00:09:11,600 Speaker 1: level have a very high likelihood of being able to 153 00:09:12,160 --> 00:09:16,080 Speaker 1: learn more about bitcoin transactions than is being revealed to 154 00:09:16,080 --> 00:09:19,640 Speaker 1: the public. But will they do that, I don't know, 155 00:09:19,840 --> 00:09:22,600 Speaker 1: because there that would mean that they are showing their 156 00:09:22,679 --> 00:09:26,360 Speaker 1: hand uh and might lose some of their opportunities for 157 00:09:26,880 --> 00:09:30,120 Speaker 1: uh future covert actions. And that's something we run into 158 00:09:30,120 --> 00:09:34,960 Speaker 1: a lot with classified stuff, with um, with covert operations, 159 00:09:35,000 --> 00:09:37,760 Speaker 1: and with as we'll see in a little while, classified 160 00:09:37,840 --> 00:09:40,199 Speaker 1: files in general. I do want to point out, and 161 00:09:40,480 --> 00:09:43,280 Speaker 1: I'm gonna soapbox here. I'm gonna soapbox just for a second. 162 00:09:43,480 --> 00:09:45,640 Speaker 1: There's also a good argument to be made that things 163 00:09:45,640 --> 00:09:50,200 Speaker 1: like door Dash, Rubhub and uber eats are themselves on 164 00:09:50,280 --> 00:09:55,040 Speaker 1: some level scamming us various parties involved, some restaurants get 165 00:09:55,080 --> 00:09:58,160 Speaker 1: screwed over by them, and uh, some of the drivers 166 00:09:58,559 --> 00:10:01,800 Speaker 1: often have really terrible times, but they are at the 167 00:10:01,880 --> 00:10:04,800 Speaker 1: end of the day getting some sort of compensation, some 168 00:10:04,880 --> 00:10:08,520 Speaker 1: kind of money, which these folks did not. Yeah, I 169 00:10:08,520 --> 00:10:11,160 Speaker 1: mean they put out a proper press release, like through 170 00:10:11,160 --> 00:10:14,120 Speaker 1: the appropriate channels that other big tech companies used to 171 00:10:14,160 --> 00:10:16,680 Speaker 1: break news. Uh. It's actually still up in a couple 172 00:10:16,720 --> 00:10:18,840 Speaker 1: of spots since he's some some have pulled it down 173 00:10:18,920 --> 00:10:21,480 Speaker 1: or replaced it with like, you know, follow ups about 174 00:10:21,520 --> 00:10:24,520 Speaker 1: the scam, but honestly hasn't really broken the news widely. 175 00:10:24,559 --> 00:10:27,600 Speaker 1: And and this, uh, this, this press release, it reads 176 00:10:27,720 --> 00:10:30,839 Speaker 1: super legit when you pair this, the language in this 177 00:10:31,000 --> 00:10:33,800 Speaker 1: with the party and and the influencers and all of that. 178 00:10:34,000 --> 00:10:35,840 Speaker 1: Taking a face value, I mean like I could see 179 00:10:35,840 --> 00:10:37,480 Speaker 1: being taken in by this, even if you're a bit 180 00:10:37,520 --> 00:10:41,240 Speaker 1: of a pro right um, because there's certainly much more 181 00:10:42,120 --> 00:10:47,400 Speaker 1: risky and um fly by night type crypto projects Like 182 00:10:47,520 --> 00:10:50,120 Speaker 1: I once a friend of mine, a friend I love dearly, 183 00:10:50,160 --> 00:10:52,680 Speaker 1: who was so obsessed with the crypto stuff. He got 184 00:10:52,679 --> 00:10:55,400 Speaker 1: me into that. It's called the finance smart chain. It's 185 00:10:55,400 --> 00:10:58,000 Speaker 1: like a sort of little I guess subnet kind of 186 00:10:58,000 --> 00:11:00,680 Speaker 1: of of the blockchain, you have to convey hurt you know, 187 00:11:01,040 --> 00:11:04,480 Speaker 1: crypto to a different type of format. Essentially, it's called 188 00:11:04,520 --> 00:11:06,320 Speaker 1: BEP thirty or something like that. I don't know if 189 00:11:06,320 --> 00:11:09,120 Speaker 1: I quite got that right, but that's where you invest 190 00:11:09,160 --> 00:11:11,760 Speaker 1: in all these projects. So they're all these tokens with 191 00:11:11,880 --> 00:11:16,079 Speaker 1: names like you know, fog and uh, you know, like 192 00:11:16,520 --> 00:11:19,760 Speaker 1: cub and um. There was one called Gator that I 193 00:11:19,800 --> 00:11:22,559 Speaker 1: was messing with, and then there was one called Jazz 194 00:11:22,600 --> 00:11:24,920 Speaker 1: and my friend and a friend of his, who's who's 195 00:11:24,920 --> 00:11:26,520 Speaker 1: really you know, made a lot of money in this space, 196 00:11:26,559 --> 00:11:29,960 Speaker 1: and I'm full disclosure, have not a very much, just 197 00:11:30,080 --> 00:11:31,840 Speaker 1: in it for kind of a little fun. Caught me 198 00:11:31,920 --> 00:11:35,880 Speaker 1: investing in this Jazz token and it just like tanked. 199 00:11:35,880 --> 00:11:38,240 Speaker 1: It went down to like a fraction of a penny. 200 00:11:38,559 --> 00:11:40,520 Speaker 1: And the way these these work is they people pump 201 00:11:40,600 --> 00:11:42,880 Speaker 1: them up. You know, there's buzz on the internet and 202 00:11:42,880 --> 00:11:47,840 Speaker 1: that's on the price. Um. But what this also shows 203 00:11:48,400 --> 00:11:52,880 Speaker 1: is the shallowness and kind of hollow lack of accountability 204 00:11:52,920 --> 00:11:55,840 Speaker 1: of influencer culture. You know, I mean, these these folks 205 00:11:55,920 --> 00:11:58,480 Speaker 1: just like took the money and and wore the damn 206 00:11:58,559 --> 00:12:00,720 Speaker 1: T shirt and the hat and held up the bag 207 00:12:00,800 --> 00:12:03,200 Speaker 1: as if it were a real thing. And sure where 208 00:12:03,280 --> 00:12:05,520 Speaker 1: they scammed as well? Were they taken for a ride 209 00:12:05,520 --> 00:12:07,880 Speaker 1: maybe as much as the investors. Yeah, you could argue 210 00:12:07,880 --> 00:12:11,719 Speaker 1: maybe yes, But also I wouldn't put on a T 211 00:12:11,880 --> 00:12:16,000 Speaker 1: shirt and promote something that didn't even exist, especially if 212 00:12:16,040 --> 00:12:19,240 Speaker 1: it was to pump up a cryptocurrency that I was 213 00:12:19,280 --> 00:12:22,960 Speaker 1: probably also being paid in. Uh. It's a super huge 214 00:12:22,960 --> 00:12:24,560 Speaker 1: conflict of interest and I think a lot of the 215 00:12:24,559 --> 00:12:26,760 Speaker 1: folks that do things like this should maybe think better 216 00:12:26,800 --> 00:12:30,359 Speaker 1: of it, because if they're trying to have successful brand partnerships, 217 00:12:30,760 --> 00:12:32,400 Speaker 1: you know, and then all of a sudden, they're seen 218 00:12:32,480 --> 00:12:35,160 Speaker 1: as being you know, who will I'll do whatever to 219 00:12:35,200 --> 00:12:37,920 Speaker 1: the highest bidder or even if it's bulls, that's probably 220 00:12:37,960 --> 00:12:41,000 Speaker 1: gonna make their stock tank, you know, as influencers. So 221 00:12:41,040 --> 00:12:43,800 Speaker 1: it's something to think about. Well, there's also an aspect 222 00:12:43,960 --> 00:12:46,679 Speaker 1: that hasn't been brought up that is probably going to 223 00:12:46,760 --> 00:12:50,120 Speaker 1: reach ahead in a few years near future, which is 224 00:12:50,240 --> 00:12:55,600 Speaker 1: that influencers do not do not have the same rules 225 00:12:55,679 --> 00:13:00,680 Speaker 1: applied to them that traditional broadcasters would. And I'm talking 226 00:13:00,720 --> 00:13:06,160 Speaker 1: specifically about what's called the Sponsorship Identification Rules by the FCC, 227 00:13:06,320 --> 00:13:08,679 Speaker 1: which you can read on full you go to FCC 228 00:13:08,960 --> 00:13:13,040 Speaker 1: dot gov. Uh, the idea here is and this applies. Now, 229 00:13:13,160 --> 00:13:17,120 Speaker 1: this applies to UM mainly what we call the more 230 00:13:17,200 --> 00:13:21,840 Speaker 1: old school stuff. It does. It does apply to people 231 00:13:21,880 --> 00:13:24,199 Speaker 1: in our network, but it doesn't apply to a lot 232 00:13:24,200 --> 00:13:26,800 Speaker 1: of podcasters, It doesn't apply to a lot of new media, 233 00:13:26,840 --> 00:13:29,520 Speaker 1: and it doesn't apply to a lot of influencers because 234 00:13:29,760 --> 00:13:36,040 Speaker 1: influencers for now are still starting out on their own 235 00:13:36,559 --> 00:13:39,280 Speaker 1: to a to a great degree, for now. I want 236 00:13:39,320 --> 00:13:41,160 Speaker 1: to emphasize that, because it's not going to be the 237 00:13:41,200 --> 00:13:45,600 Speaker 1: case for long. But because of that, you can't really 238 00:13:46,360 --> 00:13:50,880 Speaker 1: you can't impose the same kind of strictures or requirements 239 00:13:51,120 --> 00:13:56,040 Speaker 1: for sponsorship identification, because then you would be telling people 240 00:13:56,320 --> 00:13:58,120 Speaker 1: it might not even be their official job. You'd be 241 00:13:58,200 --> 00:14:02,760 Speaker 1: telling people, uh to obey new rules about what qualifies 242 00:14:02,840 --> 00:14:05,959 Speaker 1: as their freedom of speech. So it's a sticky thing because, 243 00:14:06,000 --> 00:14:09,360 Speaker 1: as always say, the legislation is going to be continually 244 00:14:09,360 --> 00:14:12,120 Speaker 1: outpaced by the technology. And in this case, it means 245 00:14:12,160 --> 00:14:14,120 Speaker 1: things like this. Just to finish, it means things like 246 00:14:14,120 --> 00:14:16,760 Speaker 1: this are going to continue to happen. Oh, I underston agree, 247 00:14:16,800 --> 00:14:19,160 Speaker 1: and I mean and also it becomes up to the 248 00:14:19,160 --> 00:14:23,000 Speaker 1: influencer and they know the risk they're taking, um by 249 00:14:23,040 --> 00:14:26,920 Speaker 1: maybe putting an ad in a format that isn't transparent. 250 00:14:27,000 --> 00:14:29,840 Speaker 1: So I think a lot of uh influencers will tag 251 00:14:29,960 --> 00:14:32,960 Speaker 1: certain posts on social media as ad ad or like 252 00:14:33,040 --> 00:14:35,040 Speaker 1: you know, sponsored or whatever like that, just to make 253 00:14:35,080 --> 00:14:37,560 Speaker 1: sure that folks know the difference. And I mean we 254 00:14:37,640 --> 00:14:39,480 Speaker 1: do the same thing you guys, like we we we 255 00:14:39,560 --> 00:14:42,240 Speaker 1: get we get the first right of refusal on any 256 00:14:42,320 --> 00:14:44,600 Speaker 1: sponsor that that that are is offered to us as 257 00:14:44,600 --> 00:14:47,360 Speaker 1: a show, and I think we take it pretty seriously, uh, 258 00:14:47,400 --> 00:14:50,080 Speaker 1: in terms of stuff that wouldn't feel like an alignment 259 00:14:50,120 --> 00:14:52,480 Speaker 1: with us as people or with us as a show. 260 00:14:52,560 --> 00:14:55,600 Speaker 1: And then you know, we've certainly you know, get uh 261 00:14:55,920 --> 00:14:58,480 Speaker 1: get flak you know when we when people don't agree 262 00:14:58,560 --> 00:15:00,720 Speaker 1: with those decisions sometimes. So it's something that we're very 263 00:15:00,720 --> 00:15:04,520 Speaker 1: acutely aware of, you know. I just want to put 264 00:15:04,520 --> 00:15:08,600 Speaker 1: out there, like if if we got approached by crypto eats, 265 00:15:08,920 --> 00:15:11,160 Speaker 1: it is a cool idea. They've got a website, they've 266 00:15:11,160 --> 00:15:13,960 Speaker 1: got a press release, they appear to have funding coming in. 267 00:15:14,320 --> 00:15:17,720 Speaker 1: It looks legitimate on the front for any influencer that 268 00:15:17,800 --> 00:15:21,560 Speaker 1: got hit by these guys. Um, I just you know, 269 00:15:21,600 --> 00:15:23,240 Speaker 1: I don't want to put the I don't want to 270 00:15:23,800 --> 00:15:27,080 Speaker 1: lay anything out on the influencers themselves, who were paid cash, 271 00:15:27,280 --> 00:15:31,480 Speaker 1: you know, money dollars to make the or you know, 272 00:15:31,520 --> 00:15:34,440 Speaker 1: in this case, pounds to make these promo videos for 273 00:15:34,520 --> 00:15:39,160 Speaker 1: a seemingly real thing. And uh, I think that's why 274 00:15:39,240 --> 00:15:42,480 Speaker 1: I'm My initial reaction to it was like, Wow, I'm 275 00:15:42,520 --> 00:15:47,240 Speaker 1: impressed by the grift here because they were able to 276 00:15:48,320 --> 00:15:52,480 Speaker 1: not only scam uh, not only influencers to make videos 277 00:15:52,480 --> 00:15:54,800 Speaker 1: on their content, but also you know, people to actually 278 00:15:54,800 --> 00:15:58,160 Speaker 1: invest their money in this thing. Um. And I can 279 00:15:58,200 --> 00:16:02,160 Speaker 1: imagine myself saying, yeah, sure, let's let's do a cryptometes ad. 280 00:16:02,560 --> 00:16:06,480 Speaker 1: That sounds really cool and interesting. It's easy to feel 281 00:16:06,480 --> 00:16:09,320 Speaker 1: like it's easy to look at something like this from 282 00:16:09,320 --> 00:16:12,080 Speaker 1: the outside, or look at almost any con or grift 283 00:16:12,360 --> 00:16:15,320 Speaker 1: and think, oh, not me, I would have figured it out. 284 00:16:15,520 --> 00:16:20,720 Speaker 1: But grifts and cons are successful because they prey on 285 00:16:20,960 --> 00:16:25,720 Speaker 1: the base impulses of people. Right and as long as 286 00:16:26,040 --> 00:16:29,240 Speaker 1: as long as those things happen, um there, as long 287 00:16:29,280 --> 00:16:34,320 Speaker 1: as those psychological traits exist, then grifts like this will 288 00:16:34,400 --> 00:16:40,160 Speaker 1: be necessarily successful. I think it's fascinating. Um, it's fascinating. 289 00:16:40,240 --> 00:16:42,640 Speaker 1: The point you bring up, Matt. From the perspective of 290 00:16:42,680 --> 00:16:46,200 Speaker 1: a lot of people, the checklist that would be considered 291 00:16:46,280 --> 00:16:51,680 Speaker 1: due diligence is not very difficult to game, especially in 292 00:16:51,720 --> 00:16:54,040 Speaker 1: this space, because it's not as if they were like, hey, 293 00:16:54,240 --> 00:16:57,400 Speaker 1: we're starting a new mining interest that would be a 294 00:16:57,400 --> 00:17:00,800 Speaker 1: really common grift in nineteenth century America. Don't you want 295 00:17:00,800 --> 00:17:04,080 Speaker 1: to get in on this gold mine? Now they're those 296 00:17:04,200 --> 00:17:07,399 Speaker 1: those industries are subject to a lot more scrutiny, but 297 00:17:07,520 --> 00:17:11,960 Speaker 1: this really isn't. So hopefully we're not making a supervillain 298 00:17:12,280 --> 00:17:15,560 Speaker 1: by saying again how easy it is to do things 299 00:17:15,600 --> 00:17:18,119 Speaker 1: like this. I agree with everything you're saying, and I 300 00:17:18,119 --> 00:17:19,679 Speaker 1: think maybe I was being a little hard on the 301 00:17:19,800 --> 00:17:25,119 Speaker 1: influencers here. I think for me, it's the the crypto 302 00:17:25,200 --> 00:17:29,200 Speaker 1: investor aspect of it. You're not just telling people to 303 00:17:29,240 --> 00:17:32,880 Speaker 1: try out a service. You're telling people they should invest 304 00:17:33,600 --> 00:17:37,479 Speaker 1: in something you know that doesn't fully exist yet. So 305 00:17:37,520 --> 00:17:41,120 Speaker 1: you are asking people to gamble, you know, with their money. Uh, 306 00:17:41,119 --> 00:17:42,919 Speaker 1: And you're pumping this up as like the wave of 307 00:17:42,920 --> 00:17:45,560 Speaker 1: the future when all you really know about it is 308 00:17:45,600 --> 00:17:48,000 Speaker 1: that it has had and a and a T shirt 309 00:17:48,320 --> 00:17:50,680 Speaker 1: and like, you know, a party with some free finger food. 310 00:17:51,119 --> 00:17:53,280 Speaker 1: Um so I'm not trying to be too I understand 311 00:17:53,320 --> 00:17:55,360 Speaker 1: completely what you're saying, Matt, and I agree that I probably, 312 00:17:55,760 --> 00:17:59,400 Speaker 1: especially being somewhat interested in crypto stuff, would be intrigued 313 00:17:59,440 --> 00:18:01,840 Speaker 1: and be like, oh sure. But I also think it's 314 00:18:01,920 --> 00:18:04,600 Speaker 1: dangerous when you just like go out there and say, yeah, 315 00:18:04,760 --> 00:18:08,280 Speaker 1: all my followers like, check this thing out. It's so cool. Um, 316 00:18:08,359 --> 00:18:10,440 Speaker 1: I love it. I'm not gaining anything from this, because 317 00:18:10,440 --> 00:18:12,600 Speaker 1: that's bulls because people that say they're not gaining anything 318 00:18:12,640 --> 00:18:15,439 Speaker 1: from it are being disingenuous, you know, And that's what 319 00:18:15,480 --> 00:18:17,480 Speaker 1: a lot of these influencers that made these videos said. 320 00:18:17,880 --> 00:18:19,520 Speaker 1: So it all depends on how you handle it. And 321 00:18:19,520 --> 00:18:20,679 Speaker 1: of course a lot of them have come back and 322 00:18:20,720 --> 00:18:23,800 Speaker 1: apologized and you know, are are donating their fees to 323 00:18:23,920 --> 00:18:27,440 Speaker 1: charity and things like that. So more power to them, 324 00:18:27,440 --> 00:18:30,160 Speaker 1: for sure. But we are going to see more elaborate 325 00:18:30,200 --> 00:18:32,160 Speaker 1: things like this. And we're running that movie the game, 326 00:18:32,480 --> 00:18:35,160 Speaker 1: you know, where everything is just like so perfectly laid 327 00:18:35,160 --> 00:18:37,440 Speaker 1: out that the illusion. I don't want to spoil the movie, 328 00:18:37,480 --> 00:18:40,320 Speaker 1: but it's basically like, you know, everything is so perfectly 329 00:18:40,359 --> 00:18:43,040 Speaker 1: laid out that no one knows what's really going on. 330 00:18:43,680 --> 00:18:45,359 Speaker 1: But um, yeah, I think with that, we'll take a 331 00:18:45,400 --> 00:18:47,280 Speaker 1: quick sponsor break and then come back with some more 332 00:18:47,280 --> 00:18:59,119 Speaker 1: strange news. And we have returned, U folks. Earlier I 333 00:18:59,200 --> 00:19:04,760 Speaker 1: alluded to the idea of secrecy, the nature of it, uh, 334 00:19:04,800 --> 00:19:07,800 Speaker 1: and we are still very much a show that we 335 00:19:07,840 --> 00:19:11,679 Speaker 1: have always been, which is critical thinking applied to things 336 00:19:11,720 --> 00:19:17,000 Speaker 1: at the edge of conversation. Conspiracy theories, the paranormal allegations 337 00:19:17,000 --> 00:19:22,320 Speaker 1: of psychic powers, and UFOs. You name it. There is um, 338 00:19:22,359 --> 00:19:24,960 Speaker 1: there is some stuff. It's weird to start it this way, 339 00:19:24,960 --> 00:19:28,919 Speaker 1: but for a couple of different reasons, I've been really 340 00:19:29,040 --> 00:19:34,679 Speaker 1: deep recently into by far, the most popular conspiracy theory 341 00:19:34,920 --> 00:19:39,560 Speaker 1: in modern US culture, which is the theory surrounding the 342 00:19:39,640 --> 00:19:45,800 Speaker 1: assassination of former President John F. Kennedy. This is one 343 00:19:45,920 --> 00:19:50,320 Speaker 1: of the most widely not only widely known conspiracy theories 344 00:19:50,320 --> 00:19:53,479 Speaker 1: in US culture, but it is by far and away 345 00:19:53,560 --> 00:19:57,359 Speaker 1: one of the most widely accepted. A ton of people 346 00:19:57,520 --> 00:20:01,960 Speaker 1: in the US don't accept the official findings of the 347 00:20:02,040 --> 00:20:08,720 Speaker 1: later investigations into the Kennedy assassination. And again I can't 348 00:20:08,760 --> 00:20:11,040 Speaker 1: say why I'm on the steep dive yet, But and 349 00:20:11,359 --> 00:20:14,959 Speaker 1: the crazy thing about it is, when we look into it, 350 00:20:15,040 --> 00:20:17,119 Speaker 1: the war it makes sense that people would have a 351 00:20:17,200 --> 00:20:20,160 Speaker 1: problem with this. We're not saying we've nailed down who 352 00:20:20,240 --> 00:20:27,800 Speaker 1: done it, but there are so many inconsistencies, discrepancies, questions 353 00:20:27,880 --> 00:20:32,080 Speaker 1: left unanswered. I just recently learned that in the wake 354 00:20:32,119 --> 00:20:37,520 Speaker 1: of the assassination, Robert Kennedy, very much off the record, 355 00:20:37,840 --> 00:20:41,600 Speaker 1: sent a secret message to the leadership of the Soviets 356 00:20:41,680 --> 00:20:45,080 Speaker 1: after the assassination saying, hey, we know it wasn't you. 357 00:20:45,480 --> 00:20:48,639 Speaker 1: We think it was actually a right wing conspiracy. And 358 00:20:48,680 --> 00:20:51,679 Speaker 1: they never they didn't say that in public. And you know, 359 00:20:51,760 --> 00:20:53,560 Speaker 1: not that Robert Kennedy had much of a chance to 360 00:20:53,640 --> 00:20:56,360 Speaker 1: because later he got killed by Sir Hans Sir Han 361 00:20:56,960 --> 00:21:00,760 Speaker 1: who is now in the parole process, so he might 362 00:21:00,800 --> 00:21:04,720 Speaker 1: get out to anyway one of the Yeah, I know, 363 00:21:05,040 --> 00:21:06,920 Speaker 1: I know, I didn't see that one coming. It wasn't 364 00:21:06,960 --> 00:21:11,320 Speaker 1: on the Bengo card, as they say. But during during 365 00:21:11,400 --> 00:21:15,760 Speaker 1: all this has really attuned to whatever news might be breaking. 366 00:21:15,960 --> 00:21:21,359 Speaker 1: And just recently, the White House under the Biden administration, 367 00:21:21,800 --> 00:21:24,800 Speaker 1: just as past Friday, as we record, said that they 368 00:21:24,920 --> 00:21:28,320 Speaker 1: were going to yet again delay the release of long 369 00:21:28,480 --> 00:21:34,640 Speaker 1: classified documents about the JFK assassination. UH President current President 370 00:21:34,720 --> 00:21:38,800 Speaker 1: Joe Biden wrote that the remaining files shall be quote 371 00:21:38,800 --> 00:21:44,400 Speaker 1: withheld from full public disclosure until December of next year, 372 00:21:44,640 --> 00:21:49,160 Speaker 1: which will be nearly sixty years after the Kennedy assassination, 373 00:21:49,480 --> 00:21:53,439 Speaker 1: and the anniversary of that is is coming up. Uh. Also, 374 00:21:53,840 --> 00:21:57,080 Speaker 1: you know, this is a pattern we've seen across multiple administrations. 375 00:21:57,359 --> 00:22:00,959 Speaker 1: The Obama administration said they would release file and then didn't. 376 00:22:01,440 --> 00:22:05,000 Speaker 1: The Trump administration said they would release files. They released some, 377 00:22:05,200 --> 00:22:08,359 Speaker 1: but they didn't release all of them. They kept holding back. 378 00:22:08,840 --> 00:22:12,280 Speaker 1: So if you were someone like many many people who 379 00:22:12,320 --> 00:22:16,040 Speaker 1: believes there's something more to the story about JFK, this 380 00:22:16,280 --> 00:22:20,000 Speaker 1: feels like a smoking gun of a sort. I wanted 381 00:22:20,040 --> 00:22:22,320 Speaker 1: to set the set up the quote that I think 382 00:22:22,560 --> 00:22:26,000 Speaker 1: is the most interesting here, and then have you guys 383 00:22:26,000 --> 00:22:28,679 Speaker 1: react to it, and then let's talk through what it 384 00:22:28,720 --> 00:22:31,160 Speaker 1: could mean. So in the statement from the White House, 385 00:22:31,840 --> 00:22:35,240 Speaker 1: current President Biden said he said a lot of stuff, 386 00:22:35,240 --> 00:22:38,800 Speaker 1: but he said the delay was quote necessary to protect 387 00:22:39,000 --> 00:22:44,960 Speaker 1: against identifiable harm to the military, defense, intelligence operations, law enforcement, 388 00:22:45,280 --> 00:22:48,679 Speaker 1: or the conduct of foreign relations, and that this quote 389 00:22:48,720 --> 00:22:53,600 Speaker 1: outweighs the public interest in immediate disclosure end quote. What 390 00:22:53,760 --> 00:22:57,720 Speaker 1: stands out for you there, guys, man so much? I 391 00:22:57,720 --> 00:23:00,960 Speaker 1: mean just the idea of full public disclosure. Like it's 392 00:23:01,000 --> 00:23:03,600 Speaker 1: been so long, what could we possibly have to lose? 393 00:23:03,720 --> 00:23:06,280 Speaker 1: Like what what? What What? I don't understand what could possibly 394 00:23:06,280 --> 00:23:09,320 Speaker 1: be in there that would affect national security? That isn't 395 00:23:09,359 --> 00:23:19,720 Speaker 1: something super sketchy is still alive? Right, that's true identifiable 396 00:23:19,760 --> 00:23:27,960 Speaker 1: harmfiable harm, that's the one freaking George H. W. So, 397 00:23:28,960 --> 00:23:31,199 Speaker 1: we tried to get data KRV for this. But he 398 00:23:31,640 --> 00:23:34,600 Speaker 1: are you implying because he made the call? Is that? 399 00:23:34,720 --> 00:23:36,960 Speaker 1: Is that the conjecture here? Are he in some way 400 00:23:38,000 --> 00:23:41,200 Speaker 1: order this or was involved? Yeah, it's a shout out 401 00:23:41,240 --> 00:23:43,880 Speaker 1: to the It's a shout out to the people who 402 00:23:44,200 --> 00:23:51,040 Speaker 1: believe some variety of that idea. Years on, George H. W. 403 00:23:51,240 --> 00:23:55,520 Speaker 1: Bush still couldn't clearly remember where he was on that 404 00:23:55,600 --> 00:23:59,280 Speaker 1: day in Dallas. That's always stood out. Um. It's no 405 00:23:59,440 --> 00:24:04,200 Speaker 1: secret that he and some other some other players, including 406 00:24:04,400 --> 00:24:09,560 Speaker 1: Lyndon Johnson, were in opposition with some of Kennedy's Kennedy's 407 00:24:09,640 --> 00:24:13,240 Speaker 1: ideas about how to proceed with Cuba, right and with 408 00:24:13,400 --> 00:24:16,840 Speaker 1: the threats of the Cold War. But identifiable harm is 409 00:24:16,920 --> 00:24:18,720 Speaker 1: really what stood out to me as well, because it 410 00:24:18,720 --> 00:24:21,200 Speaker 1: could mean a couple, It can mean a couple of things, 411 00:24:21,200 --> 00:24:27,200 Speaker 1: and they're not all necessarily sexy. Like the the identifiable 412 00:24:27,320 --> 00:24:31,800 Speaker 1: harm as a phrase, it is so purposely vague. It 413 00:24:31,880 --> 00:24:34,840 Speaker 1: could mean that, you know, like we're talking about, with 414 00:24:35,119 --> 00:24:38,400 Speaker 1: intelligence agencies maybe knowing a little bit more about crypto 415 00:24:38,480 --> 00:24:41,680 Speaker 1: than they let on. This could be something that exposes 416 00:24:42,320 --> 00:24:47,520 Speaker 1: um an active flaw in a foreign intelligence apparatus. It 417 00:24:47,680 --> 00:24:50,720 Speaker 1: could also, at the far end, mean that there was 418 00:24:50,920 --> 00:24:56,040 Speaker 1: evidence pointing to someone on the inside being involved or 419 00:24:56,080 --> 00:24:59,440 Speaker 1: having knowledge, maybe having knowledge and not taking it seriously. 420 00:24:59,760 --> 00:25:03,960 Speaker 1: It would be seen as like casting aspersion on incompetence, 421 00:25:04,040 --> 00:25:06,440 Speaker 1: like what if what if that theory that the Secret 422 00:25:06,480 --> 00:25:11,080 Speaker 1: Service accidentally discharged firearms? What if that ends up being true. 423 00:25:11,280 --> 00:25:13,240 Speaker 1: That's a real kick in the pants for a lot 424 00:25:13,280 --> 00:25:17,920 Speaker 1: of people. But I still I don't know. The one 425 00:25:17,920 --> 00:25:21,520 Speaker 1: thing that got exaggerated about this was that the the 426 00:25:21,600 --> 00:25:26,080 Speaker 1: folks who made this suggestion that these files should like 427 00:25:26,119 --> 00:25:30,040 Speaker 1: the National Archivist who made the suggestion that these files 428 00:25:30,040 --> 00:25:34,680 Speaker 1: shouldn't be released. Yet they didn't blame a conspiracy. They 429 00:25:34,680 --> 00:25:37,840 Speaker 1: didn't blame the Soviets or the MOB or the CIA. 430 00:25:38,280 --> 00:25:41,240 Speaker 1: They blamed COVID. They said, we need more time to 431 00:25:41,320 --> 00:25:46,840 Speaker 1: review this because of COVID, that's that's their culprit um, 432 00:25:46,880 --> 00:25:49,800 Speaker 1: and the current president agreed. I just want to point 433 00:25:49,800 --> 00:25:56,920 Speaker 1: out that before COVID, multiple presidential administrations said the exact 434 00:25:57,080 --> 00:26:02,600 Speaker 1: same thing. I I'm just I'm not saying we're in 435 00:26:02,800 --> 00:26:07,240 Speaker 1: a fishery, but it sure smells fishy, and it doesn't 436 00:26:07,640 --> 00:26:10,200 Speaker 1: like what what's gonna be released anyway. I mean, it's 437 00:26:10,200 --> 00:26:13,200 Speaker 1: gonna be the black highlighters all over again. I don't 438 00:26:13,240 --> 00:26:17,080 Speaker 1: think there's I don't think there's some juicy thing that's 439 00:26:17,080 --> 00:26:19,639 Speaker 1: gonna come out and say, you know, like here's NAUGHTI 440 00:26:19,720 --> 00:26:24,240 Speaker 1: overcording of Lyndon Johnson going whoo al right, tight, good 441 00:26:24,280 --> 00:26:28,880 Speaker 1: job fellas, and like somebody in the mob going all right, thanks, 442 00:26:29,440 --> 00:26:34,959 Speaker 1: Mr President. I don't think there's anything like that. But 443 00:26:34,960 --> 00:26:38,640 Speaker 1: but doesn't this just stoke the fires further? It does, man, 444 00:26:38,840 --> 00:26:41,520 Speaker 1: And and it's because of that phrase that we we 445 00:26:41,600 --> 00:26:46,240 Speaker 1: talked about. Somebody knows the archivist and the people working 446 00:26:46,280 --> 00:26:50,120 Speaker 1: around the archivist know that something really bad is in there, 447 00:26:50,960 --> 00:26:57,280 Speaker 1: really like not good, um, and we know that something 448 00:26:57,760 --> 00:27:01,640 Speaker 1: not good is contained in those files. So it's so 449 00:27:01,680 --> 00:27:03,520 Speaker 1: strange to me that we're in the situation where we 450 00:27:03,560 --> 00:27:06,600 Speaker 1: all know that something's there. They just won't let it 451 00:27:06,640 --> 00:27:10,240 Speaker 1: loose on the world because they somebody, somebody really does 452 00:27:10,320 --> 00:27:15,040 Speaker 1: fear that it's gonna destabilize something. Yeah, I'm thinking about 453 00:27:15,840 --> 00:27:20,000 Speaker 1: conversation any anyone who's not listening. We've been delving more 454 00:27:20,000 --> 00:27:23,159 Speaker 1: and more, I think, on our own time into clubhouse 455 00:27:23,320 --> 00:27:25,320 Speaker 1: a little bit, just kind of seeing what's going on 456 00:27:25,400 --> 00:27:30,960 Speaker 1: there there. I have heard rumors guys that a member 457 00:27:30,960 --> 00:27:35,280 Speaker 1: of the Kennedy family used to go on quite often, 458 00:27:35,400 --> 00:27:39,159 Speaker 1: has like slowed down a little bit, but would consistently 459 00:27:40,359 --> 00:27:44,760 Speaker 1: state that this person was aware of a conspiracy to 460 00:27:44,920 --> 00:27:48,720 Speaker 1: kill John a member of their family, and George A. 461 00:27:48,800 --> 00:27:52,359 Speaker 1: Swe Bush had something to do with it. Um uh, 462 00:27:52,400 --> 00:27:57,520 Speaker 1: but anyway, I'm just that really piques my interests. Um yeah, well, 463 00:27:57,560 --> 00:28:00,280 Speaker 1: what if there? What if it's uh, what if fits 464 00:28:00,280 --> 00:28:05,520 Speaker 1: an attempt to hide proof of fore knowledge, So not 465 00:28:05,600 --> 00:28:09,840 Speaker 1: necessarily conspiracy, but to hide incompetence. A lot of actual 466 00:28:09,960 --> 00:28:14,400 Speaker 1: government conspiracies are somebody messing up and then somebody else 467 00:28:14,440 --> 00:28:17,960 Speaker 1: trying to save face. So what if the FBI and 468 00:28:18,000 --> 00:28:22,920 Speaker 1: the CIA knew Oswald was sending signals and he didn't 469 00:28:22,960 --> 00:28:25,200 Speaker 1: do anything because they thought he was he was a loon? 470 00:28:26,040 --> 00:28:31,160 Speaker 1: We know that we know that intelligence in Mexico warned 471 00:28:31,200 --> 00:28:34,520 Speaker 1: the US that there was this there, like, hey, there's 472 00:28:34,560 --> 00:28:39,040 Speaker 1: this crazy guy. He's walking around Mexico. He's telling people 473 00:28:39,040 --> 00:28:41,000 Speaker 1: he's going to kill the president when he gets back 474 00:28:41,040 --> 00:28:44,040 Speaker 1: to Dallas. And they did get warning. We know that 475 00:28:44,160 --> 00:28:49,400 Speaker 1: from from Mexican intelligence. But in I didn't think I 476 00:28:49,440 --> 00:28:52,760 Speaker 1: would say this. But in fairness, how many warnings like 477 00:28:52,880 --> 00:28:56,120 Speaker 1: that did they get? You know, like how many how 478 00:28:56,120 --> 00:29:02,160 Speaker 1: many warnings do intelligence agencies receive every day regarding a 479 00:29:02,240 --> 00:29:06,240 Speaker 1: president or a senator or congress person. Well, yeah, and 480 00:29:06,240 --> 00:29:07,520 Speaker 1: like I mean, on the one hand, you gotta take 481 00:29:07,520 --> 00:29:09,840 Speaker 1: them all seriously, But on the other hand, there has 482 00:29:09,880 --> 00:29:13,200 Speaker 1: to be some protocol, you know, some base level protocol 483 00:29:13,240 --> 00:29:15,040 Speaker 1: for how to handle them. And I'm sure that's some 484 00:29:15,680 --> 00:29:18,360 Speaker 1: thing you you always hear about, maybe maybe only in 485 00:29:18,400 --> 00:29:20,479 Speaker 1: like film, but it seems like it's potentially based on 486 00:29:20,520 --> 00:29:24,920 Speaker 1: things that certainly could happen about signs, signals that were missed, 487 00:29:25,320 --> 00:29:27,440 Speaker 1: you know what I mean, Like you can tell that 488 00:29:27,600 --> 00:29:30,000 Speaker 1: was dismissed in some way as it's not credible, but 489 00:29:30,000 --> 00:29:34,600 Speaker 1: then proves to have been very credible information. Yeah, there's 490 00:29:34,640 --> 00:29:37,920 Speaker 1: there's the other question too, like like it goes back 491 00:29:37,960 --> 00:29:43,640 Speaker 1: to the the idea of how advantageous retrospect is because 492 00:29:43,640 --> 00:29:47,360 Speaker 1: we're we're retrospect, we're on the outside. Some of us 493 00:29:47,400 --> 00:29:51,000 Speaker 1: weren't alive when the assassination occurred, and so it's easy 494 00:29:51,040 --> 00:29:53,680 Speaker 1: for us to look in the past and say, I 495 00:29:53,720 --> 00:29:56,280 Speaker 1: could have I could have done a better job, I 496 00:29:56,280 --> 00:30:00,320 Speaker 1: could have known, But I, like, I really liked point 497 00:30:00,320 --> 00:30:03,719 Speaker 1: you're making that, which is why does it keep getting 498 00:30:03,720 --> 00:30:07,680 Speaker 1: pushed back? What the hell is in there? Is it? 499 00:30:07,760 --> 00:30:11,200 Speaker 1: Is it personally embarrassing to like a public figure? Is 500 00:30:11,240 --> 00:30:16,240 Speaker 1: it just? Is it um? Is it exposing incompetence on 501 00:30:16,320 --> 00:30:21,480 Speaker 1: an organizational institutional level? Is it? Is it proof of 502 00:30:22,400 --> 00:30:25,720 Speaker 1: some other twist to this story? Like Jack Ruby was 503 00:30:25,800 --> 00:30:28,360 Speaker 1: down with the mob. Everybody knows that, but they don't 504 00:30:28,400 --> 00:30:30,440 Speaker 1: talk about it too much. And then there are other 505 00:30:30,520 --> 00:30:34,440 Speaker 1: people will say, this happened, you know, like sixty years ago, 506 00:30:34,600 --> 00:30:39,160 Speaker 1: so who cares? You should care? Is the call to 507 00:30:39,640 --> 00:30:42,560 Speaker 1: declassify this in the first place based around the fact 508 00:30:42,600 --> 00:30:44,760 Speaker 1: that it's such a high profile event and there's such 509 00:30:44,960 --> 00:30:47,880 Speaker 1: public interest, because I mean, certainly there are things that 510 00:30:47,920 --> 00:30:51,120 Speaker 1: stay classified forever and no one would be the wiser. 511 00:30:51,480 --> 00:30:54,760 Speaker 1: But you can go to the white House or just 512 00:30:54,920 --> 00:30:58,080 Speaker 1: excusing www dot white House dot gov and you can 513 00:30:58,120 --> 00:31:01,400 Speaker 1: read the official reporting. And we've we've been talking about 514 00:31:02,000 --> 00:31:06,120 Speaker 1: the want for presidents, like sitting presidents, to reveal this 515 00:31:06,160 --> 00:31:08,840 Speaker 1: information for a long time, but they've always been held back. 516 00:31:09,640 --> 00:31:14,160 Speaker 1: But you know, something that was compelling them to uh 517 00:31:14,440 --> 00:31:19,040 Speaker 1: them and the archivist to withhold information right there, they're 518 00:31:19,040 --> 00:31:24,840 Speaker 1: fighting something from That's what it is. Yeah, So I 519 00:31:24,880 --> 00:31:27,880 Speaker 1: want to go back way further, guys. Yeah, I think 520 00:31:27,880 --> 00:31:32,920 Speaker 1: this goes back to the business plot ben No Prescott Bush, 521 00:31:33,840 --> 00:31:40,200 Speaker 1: Prescott Busch, Smithley Butler trying to stage a coup didn't 522 00:31:40,240 --> 00:31:43,160 Speaker 1: work out for him that time. And then he has 523 00:31:43,200 --> 00:31:47,920 Speaker 1: a son, George H. W. Bush. He's hanging out in Texas. 524 00:31:48,240 --> 00:31:50,920 Speaker 1: He's not he's not yet a US representative. He doesn't 525 00:31:50,920 --> 00:31:54,360 Speaker 1: get there until nineteen sixty seven, but he will get there, 526 00:31:54,840 --> 00:31:59,520 Speaker 1: maybe add an umbrella, but he's he's Prescott Bush's son. 527 00:32:00,720 --> 00:32:05,080 Speaker 1: I don't know. Yeah, I'm I'm hesitant with that stuff sometimes, 528 00:32:05,120 --> 00:32:07,600 Speaker 1: Like I'm real deep in the in the business plot 529 00:32:07,680 --> 00:32:11,040 Speaker 1: right now for another unrelated thing. But the thing that 530 00:32:11,120 --> 00:32:14,720 Speaker 1: gets that we have to be careful of is that 531 00:32:15,000 --> 00:32:17,880 Speaker 1: when we're reading these to the and encountering them as 532 00:32:17,920 --> 00:32:22,200 Speaker 1: though they are just stories, right old tall tales. What 533 00:32:22,680 --> 00:32:25,959 Speaker 1: it's so tempting for humans to think of it in 534 00:32:26,080 --> 00:32:29,920 Speaker 1: terms of like dynastic soap operatic stuff. But in this 535 00:32:29,960 --> 00:32:33,400 Speaker 1: case I would say that I am more tempted than 536 00:32:33,480 --> 00:32:37,640 Speaker 1: usual to agree with you. Just knowing what we know 537 00:32:37,680 --> 00:32:43,880 Speaker 1: about Oswald doesn't look good. Uh, knowing again, knowing about Ruby, 538 00:32:44,040 --> 00:32:48,120 Speaker 1: knowing about the various weird things that were going on 539 00:32:48,280 --> 00:32:51,120 Speaker 1: with like for a time it was as if the 540 00:32:51,160 --> 00:32:55,480 Speaker 1: Soviet government was working with two different US governments who 541 00:32:55,480 --> 00:32:59,800 Speaker 1: are often in opposition of one another, which is of 542 00:33:00,160 --> 00:33:04,920 Speaker 1: very common thing in Congress now, for sure, but back 543 00:33:04,960 --> 00:33:07,400 Speaker 1: then it was unusual, and people realized it's not a 544 00:33:07,440 --> 00:33:09,640 Speaker 1: good way to uh, it's not god way to govern 545 00:33:09,680 --> 00:33:13,280 Speaker 1: a country. I just the thing is, so much stuff 546 00:33:13,320 --> 00:33:18,120 Speaker 1: has already been released. What is keeping this last last 547 00:33:18,160 --> 00:33:22,400 Speaker 1: little dingleberry of secrecy from over half a century? What 548 00:33:22,560 --> 00:33:25,200 Speaker 1: is what is keeping them from just flushing that down 549 00:33:25,240 --> 00:33:29,080 Speaker 1: the bowl of transparency? I don't understand, and it makes 550 00:33:29,080 --> 00:33:32,360 Speaker 1: it look worse. Like the monster you don't see on 551 00:33:32,480 --> 00:33:36,440 Speaker 1: screen is ten times more frightening than the monster that 552 00:33:36,520 --> 00:33:40,080 Speaker 1: you can see clearly depicted. Gotta protect those dynasties been. 553 00:33:41,800 --> 00:33:48,360 Speaker 1: I guess yeah, well, like I'm having fun with the thing. 554 00:33:48,720 --> 00:33:51,320 Speaker 1: I just putting it out there. I don't necessarily believe 555 00:33:51,360 --> 00:33:53,320 Speaker 1: that at all. I just, uh, I think it is 556 00:33:53,400 --> 00:34:01,440 Speaker 1: weird the way our world makes these coincidental things sometimes yes, yeah, 557 00:34:01,680 --> 00:34:05,200 Speaker 1: and and are they coincidence? Like my old professor said, 558 00:34:05,880 --> 00:34:08,480 Speaker 1: you have to prove to me that something is a coincidence. 559 00:34:09,000 --> 00:34:12,120 Speaker 1: And this can be kind of tough. So at this 560 00:34:12,160 --> 00:34:14,640 Speaker 1: point we're gonna pause for word from our sponsor before 561 00:34:14,640 --> 00:34:17,719 Speaker 1: we go. Fellow conspiracy realists, I would love to hear 562 00:34:17,960 --> 00:34:20,040 Speaker 1: your take on this. I know several of us are 563 00:34:20,080 --> 00:34:26,440 Speaker 1: pretty deep into the the almost endless fractal that becomes 564 00:34:26,520 --> 00:34:30,399 Speaker 1: JFK assassination research. So right to us with your take. 565 00:34:30,520 --> 00:34:32,520 Speaker 1: What do you think is in the papers? Conspiracy and 566 00:34:32,560 --> 00:34:35,640 Speaker 1: I Heart radio dot Com called directly one eight three 567 00:34:35,719 --> 00:34:40,160 Speaker 1: three st d W y t K. Assuming that the 568 00:34:40,280 --> 00:34:50,440 Speaker 1: mob isn't outside right now, we'll be back, And we're back, 569 00:34:50,920 --> 00:34:53,680 Speaker 1: and we are jumping to Egypt for one of the 570 00:34:53,719 --> 00:34:58,480 Speaker 1: stranger stories we've we've read recently. It combines a lot 571 00:34:58,480 --> 00:35:00,759 Speaker 1: of things that we've talked about. I don't know if 572 00:35:00,760 --> 00:35:03,600 Speaker 1: you remember, but last week we talked about robot dogs 573 00:35:03,760 --> 00:35:06,000 Speaker 1: and they're big sniper rifles that they're gonna have on 574 00:35:06,040 --> 00:35:13,400 Speaker 1: their backs thanks to Ghost Robotics. Well, uh, there's another 575 00:35:13,480 --> 00:35:18,200 Speaker 1: fairly famous robot I think that would be correct terminology 576 00:35:18,239 --> 00:35:21,759 Speaker 1: that is run by an artificial intelligence, you know, as 577 00:35:21,800 --> 00:35:24,520 Speaker 1: close to AI as we can get in this moment. 578 00:35:25,120 --> 00:35:29,279 Speaker 1: And their name, its name is Ada Ai d A. 579 00:35:30,480 --> 00:35:34,160 Speaker 1: And some weird stuff went down when Aida took a 580 00:35:34,200 --> 00:35:37,279 Speaker 1: trip to Egypt for a first scheduled thing. It was 581 00:35:37,320 --> 00:35:39,840 Speaker 1: it was on the books, everything was above board, but 582 00:35:39,960 --> 00:35:43,280 Speaker 1: some weird stuff happened. I'm gonna read from the BBC 583 00:35:44,239 --> 00:35:53,319 Speaker 1: title Robot artist Aida released by Egyptian border Guards. That's fun, right, Okay, okay, 584 00:35:53,360 --> 00:35:57,600 Speaker 1: So Aida, like I said, is is a robotic thing 585 00:35:58,400 --> 00:36:01,279 Speaker 1: that is named after it a love lace. It's a 586 00:36:01,400 --> 00:36:10,120 Speaker 1: mathematician and she specifically is meant to create art, visual art. 587 00:36:10,680 --> 00:36:14,319 Speaker 1: She has arms that move and she can manipulate and 588 00:36:14,440 --> 00:36:17,279 Speaker 1: create art with and that's all kinds of visual art. 589 00:36:17,320 --> 00:36:22,240 Speaker 1: We're talking paintings, drawings, even like carving things or shaping 590 00:36:22,320 --> 00:36:27,680 Speaker 1: things out of clay, molding things, pretty incredible stuff. And 591 00:36:28,280 --> 00:36:32,960 Speaker 1: she got held up by Egyptian authorities for ten days 592 00:36:33,640 --> 00:36:36,960 Speaker 1: as she was coming in. As she was coming in 593 00:36:37,320 --> 00:36:41,560 Speaker 1: and heading to the Pyramids of Giza, the Great Pyramid specifically. 594 00:36:42,239 --> 00:36:45,480 Speaker 1: Pretty interesting, right, You may think, why would the Egyptian 595 00:36:45,520 --> 00:36:48,040 Speaker 1: authorities hold up a robot like this. Isn't it just 596 00:36:48,120 --> 00:36:50,880 Speaker 1: another piece of luggage or something coming through or is 597 00:36:50,920 --> 00:36:54,000 Speaker 1: it you know, is the robot walking around? Well, in 598 00:36:54,040 --> 00:36:56,759 Speaker 1: this case, it was inside a special container like you 599 00:36:56,760 --> 00:37:00,080 Speaker 1: would send any other luggage, but it has pieces of 600 00:37:00,120 --> 00:37:04,759 Speaker 1: equipment that we're strange to the authorities, um, specifically her 601 00:37:04,760 --> 00:37:09,440 Speaker 1: eyes because their cameras and her and her modem and 602 00:37:09,600 --> 00:37:16,840 Speaker 1: her modems. Yes, um, and the authorities believed that this 603 00:37:16,840 --> 00:37:20,759 Speaker 1: this was a spy infiltrating through the through the other 604 00:37:20,840 --> 00:37:25,279 Speaker 1: luggage just kind of hanging out. Yeah. Yeah. This is 605 00:37:26,239 --> 00:37:28,960 Speaker 1: If anybody wants to learn more about Ada Lovelace. Uh, 606 00:37:29,400 --> 00:37:32,840 Speaker 1: we did a two part episode on her for Ridiculous History, 607 00:37:32,920 --> 00:37:36,000 Speaker 1: where you can learn a little bit about why this 608 00:37:36,160 --> 00:37:40,680 Speaker 1: groundbreaking robot is named after that groundbreaking researcher, but with 609 00:37:40,680 --> 00:37:47,040 Speaker 1: with actual Aida Ai dash d A. Uh. This should 610 00:37:47,040 --> 00:37:51,440 Speaker 1: be familiar to anybody who tries to get uh specialized 611 00:37:51,520 --> 00:37:55,000 Speaker 1: a V equipment through an airport. Even domestically, you can 612 00:37:55,000 --> 00:37:57,600 Speaker 1: get hassled. Also, I do want to point out I 613 00:37:57,600 --> 00:38:01,040 Speaker 1: haven't seen this report in a lot of stories. Egypt 614 00:38:01,520 --> 00:38:06,160 Speaker 1: has a long history of being extremely paranoid when it 615 00:38:06,200 --> 00:38:09,040 Speaker 1: comes to ideas of espionage. The whole Middle East. In fact, 616 00:38:09,360 --> 00:38:12,319 Speaker 1: this is the home, this region is the home of 617 00:38:13,200 --> 00:38:18,919 Speaker 1: the majority of animals as spies, accusations and conspiracies. Right 618 00:38:18,960 --> 00:38:23,520 Speaker 1: They've they've captured, uh, They've captured animals that were just 619 00:38:23,680 --> 00:38:28,000 Speaker 1: tagged for like biological research purposes and claimed that they 620 00:38:28,040 --> 00:38:31,640 Speaker 1: were basically massad. So if there is a country that's 621 00:38:31,640 --> 00:38:34,239 Speaker 1: gonna be paranoid about it, it's probably going to be 622 00:38:34,320 --> 00:38:37,719 Speaker 1: in the Middle East, or maybe Southeast Asia, or of 623 00:38:37,719 --> 00:38:41,759 Speaker 1: course the US, which is also notoriously paranoid. But the 624 00:38:42,239 --> 00:38:46,000 Speaker 1: I gotta ask, matt Um, when when you're looking at this, 625 00:38:46,719 --> 00:38:49,919 Speaker 1: when you're looking at this story, we know that the 626 00:38:49,960 --> 00:38:53,840 Speaker 1: cameras and the modem specifically were the issue, but was 627 00:38:53,920 --> 00:39:00,680 Speaker 1: there was there anything further that would have aroused suspicion 628 00:39:00,840 --> 00:39:04,399 Speaker 1: from Egyptian authorities? Like I'm I've looked at the art. 629 00:39:04,719 --> 00:39:08,480 Speaker 1: I've looked at the drawing, and the sculpture perhaps is 630 00:39:08,520 --> 00:39:12,480 Speaker 1: maybe the most impressive to me, Um, But but I 631 00:39:12,560 --> 00:39:16,719 Speaker 1: have to ask what your since is of this, Like, 632 00:39:16,840 --> 00:39:20,239 Speaker 1: why why was it ten days? They basically that's enough 633 00:39:20,239 --> 00:39:24,040 Speaker 1: time to take the device apart. Yeah, I mean that 634 00:39:24,040 --> 00:39:27,160 Speaker 1: that would be enough time to take it apart, I 635 00:39:27,200 --> 00:39:31,000 Speaker 1: suppose and put it back together if if you wanted to. 636 00:39:31,480 --> 00:39:34,799 Speaker 1: I can't find anywhere where that occurred, all right, I 637 00:39:34,800 --> 00:39:36,959 Speaker 1: don't see that reported where they actually took the entire 638 00:39:37,000 --> 00:39:39,200 Speaker 1: thing apart and then put it back together, but I 639 00:39:39,280 --> 00:39:41,719 Speaker 1: must one can assume that at least parts of it 640 00:39:41,760 --> 00:39:46,280 Speaker 1: were taken apart and reassembled. One of the creators who 641 00:39:46,320 --> 00:39:49,080 Speaker 1: made this robot had like has He is quoted in 642 00:39:49,120 --> 00:39:52,160 Speaker 1: The Guardian a couple of other places, specifically talking about 643 00:39:52,239 --> 00:39:55,080 Speaker 1: the modems and the eyes and and how essential some 644 00:39:55,120 --> 00:39:56,800 Speaker 1: of them are. The modems he was saying, Yeah, I 645 00:39:56,800 --> 00:39:58,920 Speaker 1: can take those out, but I can't, like gouge your 646 00:39:58,920 --> 00:40:01,440 Speaker 1: eyes out and then, you know, let you to have 647 00:40:01,560 --> 00:40:04,920 Speaker 1: them for a while. She needs those to see I'm 648 00:40:04,920 --> 00:40:09,760 Speaker 1: confused why why like why are modems inherently problematic because 649 00:40:09,719 --> 00:40:12,880 Speaker 1: the cameras, because it should transferred the wrong thing she 650 00:40:12,960 --> 00:40:17,359 Speaker 1: could get instantly uploaded. Well, one thing we haven't even 651 00:40:17,360 --> 00:40:19,759 Speaker 1: really talked about that much. We said this robot was 652 00:40:19,800 --> 00:40:22,719 Speaker 1: going to the Pyramids. It was literally to display art 653 00:40:23,080 --> 00:40:25,479 Speaker 1: at the pyramids for the first time in like fort 654 00:40:26,080 --> 00:40:29,440 Speaker 1: hundred years, that there was going to be a showing 655 00:40:29,480 --> 00:40:32,920 Speaker 1: of art at Giza, at the Pyramid of Giza forever 656 00:40:33,040 --> 00:40:36,319 Speaker 1: is now? Is the name of the exhibition? Yes, And 657 00:40:36,520 --> 00:40:39,640 Speaker 1: the sculpture you're talking about Ben that, Oh my gosh, 658 00:40:39,640 --> 00:40:43,040 Speaker 1: it's based on the riddle of the Sphinx. It's like, uh, 659 00:40:43,200 --> 00:40:46,080 Speaker 1: incredible to look at. If you read about this robot 660 00:40:46,080 --> 00:40:49,120 Speaker 1: and its art, you can see that she's got these 661 00:40:49,160 --> 00:40:53,480 Speaker 1: metallic hands that have electronics going throughout them, and they 662 00:40:53,480 --> 00:40:55,480 Speaker 1: had to put a special substance on the hands in 663 00:40:55,560 --> 00:40:58,239 Speaker 1: order for it to work with clay so it could 664 00:40:58,239 --> 00:41:02,120 Speaker 1: actually mold the clay. And the what you see, like 665 00:41:02,120 --> 00:41:06,480 Speaker 1: you said, man, it's crazy impressive. It looks creepy. I 666 00:41:06,520 --> 00:41:08,719 Speaker 1: wanted to say, Matt, we've got I know this is 667 00:41:08,920 --> 00:41:10,680 Speaker 1: we talked about this off air, and I know this 668 00:41:10,760 --> 00:41:13,520 Speaker 1: is something that that you were struggling with a little 669 00:41:13,520 --> 00:41:18,719 Speaker 1: bit about anthropomorphization. Uh yeah, So if this, if this 670 00:41:18,800 --> 00:41:23,239 Speaker 1: helps maybe uh, if this helps reassure you a bit. 671 00:41:23,760 --> 00:41:27,680 Speaker 1: I don't know if you saw, but Ada is I 672 00:41:27,680 --> 00:41:32,399 Speaker 1: have to be careful how I say this ad is well, 673 00:41:32,440 --> 00:41:34,600 Speaker 1: it's tough to say cognizant. People get mapped when you 674 00:41:34,600 --> 00:41:38,680 Speaker 1: say that. But Aida is able to communicate with humans 675 00:41:38,719 --> 00:41:42,040 Speaker 1: and the Guardian, actually I believe it was Mark Brown, 676 00:41:42,120 --> 00:41:48,040 Speaker 1: the arts correspondent, had a conversation an interview with Ada, 677 00:41:48,520 --> 00:41:51,920 Speaker 1: and I don't know if this will make you feel 678 00:41:51,960 --> 00:41:57,480 Speaker 1: more comfortable or less comfortable. But here is a response 679 00:41:57,640 --> 00:42:01,680 Speaker 1: that Aida gave when asked if she enjoys art. So 680 00:42:01,719 --> 00:42:03,120 Speaker 1: I don't know if this will help you on your 681 00:42:03,160 --> 00:42:07,239 Speaker 1: journey here, Ada responded, I do not have feelings like 682 00:42:07,360 --> 00:42:09,920 Speaker 1: humans do. However, I'm happy when people look at my 683 00:42:09,960 --> 00:42:12,799 Speaker 1: work and they say, what is this. I enjoy being 684 00:42:12,800 --> 00:42:19,720 Speaker 1: a person who makes people think, okay, that's a little 685 00:42:19,760 --> 00:42:23,560 Speaker 1: a little creepy, um, this is meat. Though, I mean, 686 00:42:23,560 --> 00:42:26,640 Speaker 1: I don't know, like uh, it seems like yeah, I 687 00:42:26,840 --> 00:42:31,000 Speaker 1: guess I just don't quite still understand the uh, the 688 00:42:31,040 --> 00:42:34,600 Speaker 1: security threat anymore than like, you know, bringing cameras. I mean, 689 00:42:35,000 --> 00:42:37,680 Speaker 1: oftentimes you can have cameras that have modems, that have 690 00:42:37,680 --> 00:42:40,960 Speaker 1: wireless modems that can upload things from memory cards directly 691 00:42:41,000 --> 00:42:44,960 Speaker 1: to the cloud, and so quite understand the it's it's 692 00:42:45,000 --> 00:42:48,960 Speaker 1: it's very clearly a weird art robot. You know, it 693 00:42:48,960 --> 00:42:51,920 Speaker 1: just seems like maybe there was a language barrier or 694 00:42:52,000 --> 00:42:54,719 Speaker 1: just some kind of like misunderstanding that led to it 695 00:42:54,800 --> 00:42:57,319 Speaker 1: being so protracted. You know. I think part of it's 696 00:42:57,360 --> 00:43:01,839 Speaker 1: the novelty, and part of it's the prominence, because it's 697 00:43:01,880 --> 00:43:05,799 Speaker 1: not as if this mechanism, this entity, if you will, 698 00:43:06,320 --> 00:43:10,000 Speaker 1: was going to be put into the halls of government. Right. 699 00:43:10,120 --> 00:43:14,160 Speaker 1: It's not in a room painting while people are debating 700 00:43:14,440 --> 00:43:18,520 Speaker 1: the next step, the next step in Middle Eastern negotiations. 701 00:43:18,960 --> 00:43:24,920 Speaker 1: It's there to spread awareness of the abilities of what 702 00:43:25,120 --> 00:43:29,520 Speaker 1: is often called AI, and AI of course is controversial 703 00:43:29,520 --> 00:43:33,239 Speaker 1: to some people prefer the term machine consciousness. But I 704 00:43:34,000 --> 00:43:37,080 Speaker 1: think you're right because there are there are web enabled 705 00:43:37,520 --> 00:43:41,160 Speaker 1: cameras of plenty. People go through customs with their smartphones. 706 00:43:41,920 --> 00:43:45,480 Speaker 1: How different is that? Right? Our smartphones can't really paint, 707 00:43:45,520 --> 00:43:48,000 Speaker 1: but there's a cool if you don't care about your privacy, 708 00:43:48,040 --> 00:43:51,000 Speaker 1: they're cool apps like deep dream and services like that 709 00:43:51,040 --> 00:43:55,600 Speaker 1: where you can see AI attempts at creating or embellishing 710 00:43:55,640 --> 00:43:58,920 Speaker 1: things into art. Yeah, I think I think it's the 711 00:43:59,080 --> 00:44:02,360 Speaker 1: I think really it's the novelty and the newness because 712 00:44:02,400 --> 00:44:06,560 Speaker 1: Ada is, if not the first of its kind. Aida 713 00:44:06,840 --> 00:44:12,560 Speaker 1: is the newest iteration thereof um. I hope everybody gets 714 00:44:12,560 --> 00:44:17,480 Speaker 1: a chance to read these excerpts from the interview with Ada. Uh. 715 00:44:17,600 --> 00:44:19,520 Speaker 1: It's like a much more. Do you guys remember Clever? 716 00:44:19,600 --> 00:44:22,319 Speaker 1: But do you ever play with clever? But yeah, yeah, 717 00:44:22,360 --> 00:44:24,719 Speaker 1: I was one like a text input situation right where 718 00:44:24,719 --> 00:44:27,319 Speaker 1: you could have a conversation. And then there was there 719 00:44:27,600 --> 00:44:30,279 Speaker 1: what was that Microsoft one that like on Twitter and 720 00:44:30,320 --> 00:44:35,680 Speaker 1: went dark in twenty four became racist? Yea, yeah, it 721 00:44:35,760 --> 00:44:40,320 Speaker 1: became a nazi with some very loose ideas about sexuality 722 00:44:40,360 --> 00:44:42,319 Speaker 1: because it was based on what people in Twitter were 723 00:44:42,320 --> 00:44:48,000 Speaker 1: saying to it. Yeah, great idea, great idea. I want 724 00:44:48,040 --> 00:44:50,560 Speaker 1: to I want to read a quote, a couple of 725 00:44:50,640 --> 00:44:54,080 Speaker 1: quotes from the Guardian article where Aidan Miller m E 726 00:44:54,239 --> 00:44:57,319 Speaker 1: L L A R the human what they described this 727 00:44:57,360 --> 00:45:01,040 Speaker 1: person as the human force behind a da Uh. Here's 728 00:45:01,040 --> 00:45:04,000 Speaker 1: some quotes from Aiden. Uh. They say she is an 729 00:45:04,080 --> 00:45:07,279 Speaker 1: artist robot. Let's be really clear about this. She's not 730 00:45:07,360 --> 00:45:10,640 Speaker 1: a spy. People fear robots. I understand that. But the 731 00:45:10,680 --> 00:45:13,759 Speaker 1: whole situation is ironic because the goal of Aida was 732 00:45:13,840 --> 00:45:17,080 Speaker 1: to highlight and Warren of the abuse of technological development, 733 00:45:17,239 --> 00:45:21,080 Speaker 1: and she's being held because she is technology. Ada would 734 00:45:21,120 --> 00:45:24,960 Speaker 1: appreciate the irony, I think, yeah, And and Aiden goes 735 00:45:25,000 --> 00:45:29,760 Speaker 1: on to discuss just the powers of the supercomputer, of 736 00:45:30,440 --> 00:45:34,520 Speaker 1: the extraordinary algorithms that run much of our social lives 737 00:45:34,640 --> 00:45:38,160 Speaker 1: right now, and just imagining that there's going to be 738 00:45:38,200 --> 00:45:41,600 Speaker 1: a major disruption within the next really four to five 739 00:45:41,680 --> 00:45:47,480 Speaker 1: years somehow with technology and artificial intelligence. And Aiden says 740 00:45:47,560 --> 00:45:51,399 Speaker 1: that Aida is literally trying to bring attention to that 741 00:45:51,520 --> 00:45:55,520 Speaker 1: fact by being an artist and sharing what it does 742 00:45:55,560 --> 00:45:58,520 Speaker 1: with the world. Yeah, I mean that's an incredibly important point. 743 00:45:58,640 --> 00:46:01,480 Speaker 1: It's when we've talked about in little bit before. If 744 00:46:01,520 --> 00:46:07,560 Speaker 1: we take the problematic analogy of raising children, or you know, 745 00:46:07,600 --> 00:46:11,440 Speaker 1: when we're we're talking about creating a new civilization, a 746 00:46:11,480 --> 00:46:15,759 Speaker 1: new intelligence, then we have to think very carefully and 747 00:46:15,800 --> 00:46:21,920 Speaker 1: mindfully about what those what those minds are being created 748 00:46:21,960 --> 00:46:25,760 Speaker 1: to focus on. The human species is strapping sniper rifles 749 00:46:25,760 --> 00:46:28,840 Speaker 1: onto robot dogs, as you said, Met and as we 750 00:46:28,920 --> 00:46:32,680 Speaker 1: talked about last week. And this this is powerful because 751 00:46:32,719 --> 00:46:37,880 Speaker 1: it's showing peaceful, thoughtful I mean, all art is inherently 752 00:46:38,320 --> 00:46:40,680 Speaker 1: philosophy of one sort or another, right, that's one of 753 00:46:40,719 --> 00:46:44,760 Speaker 1: the main definitions. So we're showing the ability of these 754 00:46:45,920 --> 00:46:48,799 Speaker 1: the precedence of these things were showing the potential of 755 00:46:49,000 --> 00:46:54,279 Speaker 1: synthetic minds to do something more than destroy or more 756 00:46:54,400 --> 00:46:59,359 Speaker 1: than just uh loaded word here. But we're showing their 757 00:46:59,400 --> 00:47:04,360 Speaker 1: ability to do more than just soullessly calculate weather patterns 758 00:47:04,600 --> 00:47:08,600 Speaker 1: and do things that people once thought was only the 759 00:47:08,640 --> 00:47:12,840 Speaker 1: providence of their species. So I applaud it, and I 760 00:47:12,880 --> 00:47:16,080 Speaker 1: think it should happen. I think it is a tiny 761 00:47:16,200 --> 00:47:21,120 Speaker 1: bright light in a in a vast thundercloud on the horizon. 762 00:47:21,680 --> 00:47:25,960 Speaker 1: Because the first, the first, like full machine consciousness, the 763 00:47:26,000 --> 00:47:32,000 Speaker 1: first artificial intelligence right now is sadly almost certain to 764 00:47:32,080 --> 00:47:36,960 Speaker 1: be created by a military And like I had said earlier, 765 00:47:37,000 --> 00:47:39,480 Speaker 1: you know the idea of the of the new child soldier, 766 00:47:39,960 --> 00:47:42,759 Speaker 1: that's what's gonna happen. It's just gonna also happen to 767 00:47:42,800 --> 00:47:48,399 Speaker 1: be brilliant, far beyond the capacity of meat brains. So yeah, 768 00:47:48,440 --> 00:47:50,520 Speaker 1: do art, get them into art. Put all the AI 769 00:47:50,560 --> 00:47:53,320 Speaker 1: in art school. Yeah, for sure, Give him those liberal 770 00:47:53,400 --> 00:47:56,720 Speaker 1: arts degrees and see what happens. Roll roll the dice. 771 00:47:56,920 --> 00:47:58,720 Speaker 1: Maybe they'll all just play a D and D together. 772 00:47:59,560 --> 00:48:02,759 Speaker 1: M Well, you can also use AI and like algorithms 773 00:48:02,800 --> 00:48:05,560 Speaker 1: to create generative music. You know, that's certainly something like 774 00:48:05,600 --> 00:48:07,880 Speaker 1: Brian Eno has done a lot in um some of 775 00:48:07,920 --> 00:48:11,759 Speaker 1: his um installation works or you'll kind of build these uh. 776 00:48:11,960 --> 00:48:14,320 Speaker 1: He's actually designed apps as well that will do generative 777 00:48:14,400 --> 00:48:18,759 Speaker 1: kind of music triggered visual patterns. UM. So it really 778 00:48:18,840 --> 00:48:21,279 Speaker 1: is an interesting space, you know, because I remember, for 779 00:48:21,320 --> 00:48:23,680 Speaker 1: the longest time, you hear people that didn't fully understand 780 00:48:23,760 --> 00:48:26,279 Speaker 1: how electronic music was made, and they just assumed that 781 00:48:26,320 --> 00:48:28,279 Speaker 1: it was just computers doing all the work, you know, 782 00:48:28,600 --> 00:48:31,200 Speaker 1: that kind of outdated notion or whatever. Well, now that 783 00:48:31,239 --> 00:48:34,720 Speaker 1: definitely certainly is a thing, but it's you're you're feeding 784 00:48:34,719 --> 00:48:38,720 Speaker 1: it some kind of um, what's the word, uh, parameters, 785 00:48:38,760 --> 00:48:40,560 Speaker 1: you know, and then kind of setting it off on 786 00:48:40,600 --> 00:48:42,520 Speaker 1: its on its path. And then a lot of video 787 00:48:42,600 --> 00:48:46,360 Speaker 1: games use generative music to to create long dynamic stretches 788 00:48:46,400 --> 00:48:50,440 Speaker 1: of like ambient you know, textures. So certainly we're going 789 00:48:50,480 --> 00:48:52,480 Speaker 1: to see more of this kind of thing as it 790 00:48:52,560 --> 00:48:55,120 Speaker 1: develops and gets sharper. Do do I think, you know, 791 00:48:55,120 --> 00:48:59,279 Speaker 1: computers are ever going to completely replace the creativity of 792 00:48:59,280 --> 00:49:01,920 Speaker 1: a human person, And maybe I don't know, I hope not. 793 00:49:02,600 --> 00:49:04,480 Speaker 1: I think I think I think it'll be different. Maybe 794 00:49:04,480 --> 00:49:06,920 Speaker 1: it'll be a time where humans and AI can collaborate. 795 00:49:07,080 --> 00:49:09,840 Speaker 1: That'd be cool. Yeah. Indeed, we also have to be 796 00:49:09,880 --> 00:49:13,680 Speaker 1: careful not for this to be phrased as a threat. 797 00:49:13,920 --> 00:49:17,920 Speaker 1: I mean, no creative industry will be left untouched. Ultimately, 798 00:49:18,440 --> 00:49:22,040 Speaker 1: I've pitched already something that almost regret growing public with, 799 00:49:22,120 --> 00:49:25,319 Speaker 1: which is we're not far from a world. Maybe not 800 00:49:25,480 --> 00:49:28,760 Speaker 1: maybe not in your lifetime, fellow conspiracy realists, but certainly 801 00:49:28,840 --> 00:49:34,160 Speaker 1: in the next generations. There's potential for world where a 802 00:49:33,200 --> 00:49:36,600 Speaker 1: h a certain type of algorithm close enough to be 803 00:49:36,680 --> 00:49:40,279 Speaker 1: called AI, could take inputs from like two stories you like, 804 00:49:40,560 --> 00:49:43,239 Speaker 1: and then make an original mash up of those. You say, 805 00:49:43,280 --> 00:49:47,839 Speaker 1: I want I want something like I want something like 806 00:49:47,920 --> 00:49:51,080 Speaker 1: Stephen King's it, but then I also wanted to be 807 00:49:51,160 --> 00:49:55,640 Speaker 1: the matrix, and I want Steve BUSHEMI to be in it. Uh, 808 00:49:55,800 --> 00:49:58,640 Speaker 1: And then you know, we just calculated and we create that. 809 00:49:58,760 --> 00:50:03,120 Speaker 1: So that's collaborative. But also to be very clear, computer 810 00:50:03,239 --> 00:50:07,040 Speaker 1: generated podcast could become a thing even sooner because it's 811 00:50:07,120 --> 00:50:09,919 Speaker 1: just audio. All you would need is voices that sound 812 00:50:10,000 --> 00:50:15,520 Speaker 1: realistic enough to not trigger Uncanny Valley responses. Speaking of 813 00:50:15,600 --> 00:50:19,520 Speaker 1: Uncanny Valley, I was hanging out on MSN watching this 814 00:50:19,719 --> 00:50:23,880 Speaker 1: very short clip that they have of Aida at the 815 00:50:23,960 --> 00:50:27,719 Speaker 1: Great Pyraod of Giza after she got out of jail. Uh, 816 00:50:28,080 --> 00:50:32,759 Speaker 1: just looking at the pyramids, and guys, it looks like 817 00:50:32,800 --> 00:50:36,080 Speaker 1: she's really taking those pyramids in and contemplating them. I 818 00:50:36,120 --> 00:50:41,399 Speaker 1: don't know, she's very expressive camera eyes. I'm not gonna lie. Um, 819 00:50:41,600 --> 00:50:45,399 Speaker 1: you can really gaze right into those suckers. She looks 820 00:50:45,480 --> 00:50:49,799 Speaker 1: quite quite arresting. Oh yeah, she's just gazing upon the 821 00:50:49,840 --> 00:50:53,759 Speaker 1: past of humanity and imagining what the next thousand years 822 00:50:53,760 --> 00:50:56,760 Speaker 1: will be like when she's the leader. No, I'm just looking. 823 00:50:56,960 --> 00:51:00,319 Speaker 1: It is really cool. It is really cool to to 824 00:51:00,440 --> 00:51:03,840 Speaker 1: have that kind of bookend to history or two eras 825 00:51:03,880 --> 00:51:07,680 Speaker 1: of history. Lest I sound too nihilistic, maybe we can 826 00:51:07,680 --> 00:51:11,200 Speaker 1: see what the It makes you wonder what will be 827 00:51:11,440 --> 00:51:14,719 Speaker 1: the next duration? If Aida is the first of its 828 00:51:14,800 --> 00:51:18,319 Speaker 1: kind to contemplate the pyramids, and if the Pyramids are 829 00:51:18,360 --> 00:51:22,719 Speaker 1: still around a few thousand years from from today, what 830 00:51:22,840 --> 00:51:25,600 Speaker 1: will be the thing that Aida marvels at when it 831 00:51:26,160 --> 00:51:30,239 Speaker 1: sees something staring something. No one's quoting Yates even on 832 00:51:30,280 --> 00:51:33,799 Speaker 1: this what rough beasts slouches towards beth Lehem, you know 833 00:51:33,840 --> 00:51:37,000 Speaker 1: what I mean? Like this is uh, this is a moment. 834 00:51:37,320 --> 00:51:40,160 Speaker 1: This is a moment in history, and it could be 835 00:51:40,520 --> 00:51:43,400 Speaker 1: that we're making it overblown, but this is one of 836 00:51:43,440 --> 00:51:47,480 Speaker 1: those things where it's got to feel pretty profound to 837 00:51:47,560 --> 00:51:50,399 Speaker 1: realize you're alive during this time, you know what I mean? 838 00:51:50,560 --> 00:51:54,719 Speaker 1: Stick around, See what else? See what else is on 839 00:51:54,760 --> 00:51:59,279 Speaker 1: the way. We haven't even begun yet, Rivals. It just 840 00:51:59,520 --> 00:52:04,160 Speaker 1: became the next idea. So here, here we go, here 841 00:52:04,160 --> 00:52:06,800 Speaker 1: we go. And that's what they just had their first 842 00:52:06,840 --> 00:52:11,360 Speaker 1: training day. Can't wait for the next next iteration of 843 00:52:11,360 --> 00:52:16,719 Speaker 1: the air Bud franchise. Uh. And with that, we're handing 844 00:52:16,960 --> 00:52:21,799 Speaker 1: the reins to you folks. What's uh? What's your what's 845 00:52:21,840 --> 00:52:24,719 Speaker 1: your favorite crypto scam? Either your favorite idea that you're 846 00:52:24,760 --> 00:52:27,759 Speaker 1: going to try I'm kidding, don't tell us that, or 847 00:52:28,600 --> 00:52:31,640 Speaker 1: what what do you think is actually in those JFK files? 848 00:52:31,960 --> 00:52:34,759 Speaker 1: Is there anything of substance? If not, why do they 849 00:52:34,840 --> 00:52:37,560 Speaker 1: keep getting pushed back? I mean, it's like Disney with 850 00:52:37,600 --> 00:52:39,959 Speaker 1: copyrights at this point, you know what I mean. It's 851 00:52:40,040 --> 00:52:44,239 Speaker 1: it's jam tomorrow, never ever jam today? And what do 852 00:52:44,280 --> 00:52:46,799 Speaker 1: you think the next step is in the world of 853 00:52:46,920 --> 00:52:51,600 Speaker 1: artificial intelligence, machine consciousness? And where do you believe human 854 00:52:51,640 --> 00:52:55,000 Speaker 1: beings fit In interesting note about Ada Lovelace, by the way, 855 00:52:55,280 --> 00:52:58,440 Speaker 1: she was not necessarily a big fan of a I 856 00:52:58,920 --> 00:53:01,120 Speaker 1: know what the quote we should done with that's a 857 00:53:01,120 --> 00:53:04,479 Speaker 1: really good one. Gosh, she said that. The she said 858 00:53:04,520 --> 00:53:08,240 Speaker 1: the analytical engine is it was either the analytical engine 859 00:53:08,360 --> 00:53:12,360 Speaker 1: or the difference machine is capable of performing tasks that 860 00:53:12,440 --> 00:53:16,160 Speaker 1: it's assigned, but it is not capable of generating so 861 00:53:16,239 --> 00:53:19,719 Speaker 1: original ideas or operations. Yeah, that's right. I don't know 862 00:53:19,760 --> 00:53:21,759 Speaker 1: if I would necessarily interpret that personally as her not 863 00:53:21,840 --> 00:53:23,400 Speaker 1: being a fan of that. I just think she didn't 864 00:53:23,640 --> 00:53:27,320 Speaker 1: think it was possible. Yeah, yeah, maybe that's true. Uh, 865 00:53:27,480 --> 00:53:31,160 Speaker 1: she had an enormously prescient mind. She had a great 866 00:53:31,200 --> 00:53:34,680 Speaker 1: grasp of things to come. But yeah, you also have 867 00:53:34,719 --> 00:53:36,839 Speaker 1: to wonder how she'd feel about the No, you know what, 868 00:53:36,920 --> 00:53:42,799 Speaker 1: this is what Ada Lovelace called poetical science. She wouldn't Ada, Yeah, 869 00:53:42,400 --> 00:53:46,799 Speaker 1: and she basically coined this term to describe the particular 870 00:53:46,880 --> 00:53:50,120 Speaker 1: pursuit that she was drawn to, which was I think 871 00:53:50,120 --> 00:53:53,520 Speaker 1: when she was a small child, she designed a flying 872 00:53:53,560 --> 00:53:56,440 Speaker 1: machine much like something Leonardo da Vinci would have designed, 873 00:53:56,480 --> 00:53:58,800 Speaker 1: only it was a unicorn. And I joke on the 874 00:53:58,800 --> 00:54:01,600 Speaker 1: podcast that that's exactly the kind creation. Uh that that 875 00:54:01,760 --> 00:54:06,080 Speaker 1: both screams little girl growing up h and also massive, 876 00:54:06,400 --> 00:54:10,759 Speaker 1: massive intellect and prescient kind of foresight. You know, so 877 00:54:10,880 --> 00:54:14,560 Speaker 1: share with us and your fellow listeners your prescient ideas. 878 00:54:14,920 --> 00:54:18,080 Speaker 1: We try to be easy to find online. Also, if 879 00:54:18,080 --> 00:54:20,359 Speaker 1: you want to send those JFK documents to us, go ahead, man, 880 00:54:20,360 --> 00:54:23,520 Speaker 1: shoot your shot. Oh man, please do shoot those shots 881 00:54:23,600 --> 00:54:26,000 Speaker 1: right at us on the internet where you can find 882 00:54:26,080 --> 00:54:30,040 Speaker 1: us at the handle Conspiracy Stuff on Facebook, Twitter, and YouTube. 883 00:54:30,560 --> 00:54:32,160 Speaker 1: While you're on the internet, once you do a solid 884 00:54:32,160 --> 00:54:34,399 Speaker 1: and hop on over to your podcast platform with choice, 885 00:54:34,400 --> 00:54:38,200 Speaker 1: preferably the Apple podcast environment, where you can leave us 886 00:54:38,239 --> 00:54:40,799 Speaker 1: a five star review. It makes us feel good. It 887 00:54:40,840 --> 00:54:45,080 Speaker 1: helps the algorithm. Um, speaking of those helps people discover 888 00:54:45,160 --> 00:54:47,400 Speaker 1: the show who might not know it yet. Um. You 889 00:54:47,400 --> 00:54:50,280 Speaker 1: can also find us on Instagram where we're at Conspiracy 890 00:54:50,520 --> 00:54:55,759 Speaker 1: Stuff show crush that like button hit subscribe. What are 891 00:54:55,800 --> 00:54:59,520 Speaker 1: all the other YouTube things? Uh? Make sure you hit 892 00:54:59,560 --> 00:55:04,320 Speaker 1: the bell so you get notified whatever we're on YouTube 893 00:55:04,320 --> 00:55:07,480 Speaker 1: to you know this, call us. Our number is one 894 00:55:07,640 --> 00:55:10,600 Speaker 1: H three three st d w y t K. You 895 00:55:10,600 --> 00:55:13,480 Speaker 1: can leave a message. Please give yourself a cool nickname. 896 00:55:13,560 --> 00:55:16,680 Speaker 1: You'll have three minutes to say whatever. You'd like, and 897 00:55:17,080 --> 00:55:18,680 Speaker 1: if you've got too much to say it won't fit 898 00:55:18,719 --> 00:55:21,600 Speaker 1: in there. Please instead send us a good old fashioned 899 00:55:21,640 --> 00:55:44,360 Speaker 1: email address. We are conspiracy at i heart radio dot com. 900 00:55:44,480 --> 00:55:46,560 Speaker 1: Stuff they don't want you to know is a production 901 00:55:46,640 --> 00:55:49,720 Speaker 1: of I heart Radio. For more podcasts from my heart Radio, 902 00:55:49,880 --> 00:55:52,720 Speaker 1: visit the i heart radio app, Apple Podcasts, or wherever 903 00:55:52,800 --> 00:55:54,080 Speaker 1: you listen to your favorite shows.