1 00:00:00,280 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,840 --> 00:00:09,160 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,240 --> 00:00:12,200 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,280 --> 00:00:13,920 Speaker 1: production of iHeartRadio. 5 00:00:24,160 --> 00:00:26,240 Speaker 2: Hello, welcome back to the show. My name is Matt, 6 00:00:26,440 --> 00:00:27,600 Speaker 2: my name is Noah. 7 00:00:27,640 --> 00:00:30,320 Speaker 3: They call me Ben. We're joined as always with our 8 00:00:30,400 --> 00:00:36,000 Speaker 3: super producer Paul, mission controlled decands. Most importantly, you are here, 9 00:00:36,080 --> 00:00:39,400 Speaker 3: and that makes this the stuff they don't want you 10 00:00:39,560 --> 00:00:45,479 Speaker 3: to know. Longtime listeners, fellow conspiracy realists, people of particular professions, 11 00:00:45,640 --> 00:00:48,440 Speaker 3: you may know it is a terrible time for spies, 12 00:00:49,040 --> 00:00:51,840 Speaker 3: and now more than ever, as Fox News would say, 13 00:00:52,800 --> 00:00:57,760 Speaker 3: you may also be interested to hear a story about 14 00:00:57,800 --> 00:01:02,080 Speaker 3: how music can move you. And before we talk about 15 00:01:02,120 --> 00:01:05,880 Speaker 3: any of that, we are returning to the world of 16 00:01:06,040 --> 00:01:10,680 Speaker 3: machine learning, of algorithms of AI. We always say legislation 17 00:01:11,440 --> 00:01:15,679 Speaker 3: will be eternally outpaced by innovation, especially the world of tech, 18 00:01:16,520 --> 00:01:21,640 Speaker 3: and it looks like those concerns are real, especially now 19 00:01:21,800 --> 00:01:24,640 Speaker 3: you know you've seen all the chatter. I'm sure there's 20 00:01:24,680 --> 00:01:28,319 Speaker 3: more news that's coming out. But Matt, when you say 21 00:01:28,319 --> 00:01:34,400 Speaker 3: people are starting to across different demographics and across different ideologies, 22 00:01:34,400 --> 00:01:37,920 Speaker 3: when you say, people are collectively starting to take AI 23 00:01:38,040 --> 00:01:39,119 Speaker 3: a little more seriously. 24 00:01:39,360 --> 00:01:45,199 Speaker 2: Oh, certainly. There are signs littered all over the side 25 00:01:45,319 --> 00:01:50,960 Speaker 2: of highways like off ramps around the Atlanta area that state, 26 00:01:52,320 --> 00:01:56,040 Speaker 2: hey call this number, we use AI to enhance your business. 27 00:01:56,280 --> 00:01:59,160 Speaker 2: And like, there's small companies forming all over the place 28 00:01:59,200 --> 00:02:02,240 Speaker 2: that are trying to find ways to make money on this. 29 00:02:02,840 --> 00:02:07,920 Speaker 2: And it's not just small companies, it's big companies. Big 30 00:02:07,960 --> 00:02:11,480 Speaker 2: companies are investing millions and millions of dollars in AI 31 00:02:11,560 --> 00:02:14,760 Speaker 2: research because they think this is the future. 32 00:02:15,360 --> 00:02:17,480 Speaker 3: This act is studios, Yeah. 33 00:02:17,360 --> 00:02:22,200 Speaker 2: Lots of studios and lots of let's say, data specialists. 34 00:02:22,760 --> 00:02:26,160 Speaker 2: They are really focused on AI and how it's going 35 00:02:26,200 --> 00:02:30,680 Speaker 2: to change their operating costs and what they can actually achieve. 36 00:02:31,320 --> 00:02:35,200 Speaker 2: And in response to this, the White House has They've 37 00:02:35,240 --> 00:02:38,040 Speaker 2: decided they're going to call together a bunch of experts 38 00:02:38,040 --> 00:02:40,880 Speaker 2: and have a little chat about this AI thing, what 39 00:02:41,080 --> 00:02:43,399 Speaker 2: is it, what's going on with it. They're gonna ask 40 00:02:43,480 --> 00:02:46,800 Speaker 2: questions about modems and routers and the internet and dial 41 00:02:46,880 --> 00:02:49,880 Speaker 2: up and it's gonna be really important and good. But 42 00:02:50,120 --> 00:02:53,320 Speaker 2: it could I'm being I'm joking there, being facetious, but 43 00:02:53,360 --> 00:02:56,400 Speaker 2: I do think this is an important and important event. 44 00:02:56,680 --> 00:02:59,520 Speaker 2: We're going to talk about it and why why it's 45 00:02:59,560 --> 00:03:04,240 Speaker 2: probably crucial at this time. So here we go. This 46 00:03:04,280 --> 00:03:06,960 Speaker 2: is from Reuter's May fourth May it be with you? 47 00:03:07,560 --> 00:03:11,880 Speaker 2: White House to meet Microsoft, Google CEOs on AI dangers. 48 00:03:12,520 --> 00:03:15,200 Speaker 2: Reading directly from the article here, the White House will 49 00:03:15,200 --> 00:03:19,919 Speaker 2: host CEOs of top AI companies, including alphabets, Google, and 50 00:03:20,120 --> 00:03:24,800 Speaker 2: Microsoft on Thursday to discuss risks and safeguards as the 51 00:03:24,840 --> 00:03:28,639 Speaker 2: technology catches the attention of governments and lawmakers globally. When 52 00:03:28,680 --> 00:03:32,160 Speaker 2: it says Thursday, there it means yesterday. As we're recording 53 00:03:32,200 --> 00:03:35,400 Speaker 2: this May the fourth, And here are the people that 54 00:03:35,480 --> 00:03:40,240 Speaker 2: are actually going to be meeting. Google's Sundar Pichai, Microsoft 55 00:03:40,400 --> 00:03:45,040 Speaker 2: Sataya Nadella, Open AI's Sam Altman. This is a new 56 00:03:45,040 --> 00:03:48,160 Speaker 2: one for me, guys, I didn't know about this company, Anthropic. 57 00:03:49,400 --> 00:03:54,640 Speaker 2: Their person Dario Modi. I'm oday. This is one of 58 00:03:54,720 --> 00:03:58,800 Speaker 2: the people who founded chat GPT originally or like created 59 00:03:58,960 --> 00:04:03,440 Speaker 2: chat GPT, have their own company now called Anthropic. Also, 60 00:04:03,520 --> 00:04:07,480 Speaker 2: they're Kamala Harris, Vice President, Chief of Staff of Biden, 61 00:04:07,680 --> 00:04:11,880 Speaker 2: national Security Advisor, Director of the National Economic Council, and 62 00:04:11,920 --> 00:04:14,240 Speaker 2: the Secretary of Commerce. They're all going to be hanging 63 00:04:14,280 --> 00:04:17,960 Speaker 2: out talking about, Hey, what is this stuff? And uh, 64 00:04:18,080 --> 00:04:20,400 Speaker 2: what's what are y'all doing with it? Because it does 65 00:04:20,440 --> 00:04:24,520 Speaker 2: seem pretty powerful and a little bit scary, especially when 66 00:04:24,520 --> 00:04:27,600 Speaker 2: it comes to jobs, because you know, elected officials are 67 00:04:27,839 --> 00:04:31,520 Speaker 2: really really concerned with jobs always because you know who 68 00:04:31,520 --> 00:04:33,720 Speaker 2: has jobs, Voters. 69 00:04:33,400 --> 00:04:37,080 Speaker 4: Voters, you know who, you know who's taken our jerves. 70 00:04:37,360 --> 00:04:41,640 Speaker 2: Computers, Yes they are. They definitely aren't vote. They can't 71 00:04:41,760 --> 00:04:44,440 Speaker 2: vote yet, not yet, not yet. 72 00:04:45,480 --> 00:04:49,360 Speaker 4: Won't that be when that happens? 73 00:04:48,360 --> 00:04:52,240 Speaker 3: You know, I think saying I told you so is 74 00:04:52,279 --> 00:04:55,560 Speaker 3: one of the most unhelpful things that can be said 75 00:04:55,600 --> 00:04:58,960 Speaker 3: in conversation. Instead of saying that, I will say that 76 00:04:59,080 --> 00:05:02,560 Speaker 3: we pointed out here's back. I know it sounded like 77 00:05:02,600 --> 00:05:05,640 Speaker 3: it was high or something, but we pointed out years 78 00:05:05,720 --> 00:05:12,000 Speaker 3: back that eventually generative AI would be writing scripts. 79 00:05:12,200 --> 00:05:14,040 Speaker 4: And that's the thing. Let's just let just go into 80 00:05:14,040 --> 00:05:19,440 Speaker 4: really quickly, like this is less true artificial intelligence than 81 00:05:19,480 --> 00:05:22,400 Speaker 4: it is machine learning, right, I think it's always important 82 00:05:22,440 --> 00:05:27,120 Speaker 4: to kind of draw that distinction. These algorithms, while incredibly impressive, 83 00:05:27,640 --> 00:05:30,480 Speaker 4: you know, it feels like a magic trick, like it's 84 00:05:30,520 --> 00:05:32,320 Speaker 4: reading your mind or something, but what it's doing is 85 00:05:32,680 --> 00:05:37,360 Speaker 4: regurgitating in different order words that already exist or ideas 86 00:05:37,360 --> 00:05:40,440 Speaker 4: that already exist, you know, on the massive archive of 87 00:05:40,520 --> 00:05:44,159 Speaker 4: all human knowledge that is the Internet. But they're not 88 00:05:44,360 --> 00:05:49,640 Speaker 4: capable of like creating new ideas, I mean theoretically this week. 89 00:05:49,880 --> 00:05:55,000 Speaker 2: Yeah, agreed with both of you guys. The goal. Look, 90 00:05:55,080 --> 00:05:58,640 Speaker 2: I don't know the end goal of these very influential, 91 00:05:58,839 --> 00:06:02,320 Speaker 2: intelligent and powerful people that are going to be meeting 92 00:06:02,400 --> 00:06:05,719 Speaker 2: with the White House. But if you look at let's 93 00:06:05,880 --> 00:06:10,640 Speaker 2: just give an example, anthropic dot com. That's that company, Anthropic. 94 00:06:10,839 --> 00:06:16,520 Speaker 2: They've got an AI assistant named Claude, and Claude you 95 00:06:16,560 --> 00:06:19,640 Speaker 2: can see, at least in my mind, you can see 96 00:06:19,680 --> 00:06:23,120 Speaker 2: the end goal is to create an actual assistant, like 97 00:06:23,200 --> 00:06:26,240 Speaker 2: someone you would hire to be your assistant. If you're 98 00:06:26,520 --> 00:06:29,880 Speaker 2: let's say a podcast executive producer. You would have this 99 00:06:29,960 --> 00:06:34,840 Speaker 2: person that could perform tasks for you and they would 100 00:06:34,880 --> 00:06:36,800 Speaker 2: be done. They'd be on your desk or whatever within 101 00:06:36,839 --> 00:06:38,160 Speaker 2: a matter of seconds. 102 00:06:37,839 --> 00:06:43,080 Speaker 3: Like super clippy. Well we're talking about is super clippy. 103 00:06:43,120 --> 00:06:48,120 Speaker 2: Yes, but even interacting with people in the outside world, 104 00:06:48,880 --> 00:06:53,120 Speaker 2: creating emails like email responses, you can imagine a world 105 00:06:53,200 --> 00:06:56,479 Speaker 2: where Claude would give you a rundown of your day. 106 00:06:56,680 --> 00:06:58,920 Speaker 2: Here's all the emails you need to respond to. In 107 00:06:58,960 --> 00:07:01,239 Speaker 2: what way would you like me to respond to those emails? 108 00:07:01,240 --> 00:07:02,640 Speaker 2: And you just give it a quick blah blah blah 109 00:07:02,640 --> 00:07:03,200 Speaker 2: blah blah. 110 00:07:03,000 --> 00:07:05,799 Speaker 4: Blah, and then it, well, it creates those things, even 111 00:07:05,839 --> 00:07:08,320 Speaker 4: like in an office suite you know, Microsoft, which you know, 112 00:07:08,440 --> 00:07:10,760 Speaker 4: I think we all have our opinions on leadst thething 113 00:07:10,800 --> 00:07:14,200 Speaker 4: to be desired. It will tell you about emails that 114 00:07:14,240 --> 00:07:15,920 Speaker 4: are like, you know, a little detect that you haven't 115 00:07:15,960 --> 00:07:18,440 Speaker 4: responded to a certain email, and tell you how old 116 00:07:18,480 --> 00:07:20,680 Speaker 4: it is. And then it does generate some kind of 117 00:07:20,760 --> 00:07:24,440 Speaker 4: pat you know, generative responses that you can click on. 118 00:07:24,720 --> 00:07:25,080 Speaker 3: You know that. 119 00:07:25,160 --> 00:07:27,440 Speaker 4: Yeah, it already does something like that. It's not robust, 120 00:07:27,720 --> 00:07:30,160 Speaker 4: it's not thoughtful. You know, people will be able to 121 00:07:30,200 --> 00:07:33,400 Speaker 4: tell really quickly if you're just banging those autocomplete responses. 122 00:07:33,920 --> 00:07:36,240 Speaker 4: But there already is something like that in there. This 123 00:07:36,360 --> 00:07:39,240 Speaker 4: is just like taking that super clippy situation to the 124 00:07:39,280 --> 00:07:39,840 Speaker 4: next level. 125 00:07:40,160 --> 00:07:42,880 Speaker 2: Absolutely, And the reason why I'm framing it in this 126 00:07:42,920 --> 00:07:46,480 Speaker 2: way is because you can imagine then placing that thing, 127 00:07:46,600 --> 00:07:50,280 Speaker 2: that program into a physical entity, right yes, And I 128 00:07:50,320 --> 00:07:52,920 Speaker 2: think at that point is when you have the situation 129 00:07:53,000 --> 00:07:57,280 Speaker 2: Ben's talking about when this entity now has rights and 130 00:07:57,400 --> 00:08:01,880 Speaker 2: can potentially even vote on you know, on inelections or whatever. 131 00:08:02,440 --> 00:08:03,920 Speaker 4: Where's the justification Microsoft? 132 00:08:04,000 --> 00:08:07,480 Speaker 2: Thinking just quickly, Microsoft is one of the main companies 133 00:08:07,520 --> 00:08:11,320 Speaker 2: that's investing millions and millions and millions of dollars into 134 00:08:11,400 --> 00:08:15,840 Speaker 2: this pursuit of AI, and Microsoft's involvement with chat GPT 135 00:08:16,200 --> 00:08:20,960 Speaker 2: is why that group who created Anthropic made their own company. 136 00:08:21,000 --> 00:08:25,720 Speaker 4: Right, I guess I don't understand how putting software into 137 00:08:25,720 --> 00:08:28,320 Speaker 4: some sort of bot or some sort of like mobile 138 00:08:28,920 --> 00:08:32,640 Speaker 4: you know, thing creation, how that gives it personhood any 139 00:08:32,640 --> 00:08:34,520 Speaker 4: differently than it just existing in the cloud. 140 00:08:35,040 --> 00:08:37,920 Speaker 2: Well, that's certainly the next step. Right, it exists, it 141 00:08:38,040 --> 00:08:41,920 Speaker 2: thinks therefore it is not just in some place, you know, 142 00:08:42,520 --> 00:08:47,840 Speaker 2: some unknown place, but it exists physically in Nebraska somewhere, right. 143 00:08:48,200 --> 00:08:51,160 Speaker 2: I mean, it's just I think I think that's just 144 00:08:51,240 --> 00:08:54,199 Speaker 2: part of human humanity is understanding of what a thing is, 145 00:08:54,400 --> 00:08:57,800 Speaker 2: you know, an entity is. That's just my opinion. 146 00:08:58,040 --> 00:08:59,120 Speaker 4: I don't know that it makes sense. 147 00:08:59,160 --> 00:09:03,480 Speaker 3: So this is a topic of conversation that's huge on 148 00:09:03,960 --> 00:09:08,120 Speaker 3: multiple levels. I know that sometimes I come off sounding 149 00:09:08,240 --> 00:09:12,680 Speaker 3: a little bit esoteric when we talk about things like 150 00:09:14,160 --> 00:09:18,680 Speaker 3: how AI itself as a term is fraudulent. Right? What's 151 00:09:18,720 --> 00:09:22,000 Speaker 3: the difference between one intelligence and the next? You know, 152 00:09:22,520 --> 00:09:25,040 Speaker 3: I know it sounds kind of crazy to ask when 153 00:09:25,480 --> 00:09:29,520 Speaker 3: these entities might exist and be able to vote, But 154 00:09:30,120 --> 00:09:34,120 Speaker 3: like you said, Matt, there are millions, probably billions of 155 00:09:34,200 --> 00:09:38,240 Speaker 3: dollars being poured into these questions. And shout out again 156 00:09:38,320 --> 00:09:43,920 Speaker 3: to our buddy, professor Damien Williams, who has who has 157 00:09:43,960 --> 00:09:48,199 Speaker 3: been raising this flag for years and years and years, Matt, 158 00:09:48,240 --> 00:09:54,600 Speaker 3: when you learned that Pennsylvania Avenue was meeting about the 159 00:09:54,640 --> 00:10:01,079 Speaker 3: potential dangers of these algorithms, right, is your spider sense 160 00:10:01,160 --> 00:10:04,640 Speaker 3: telling you? Does it sound like it's p R bluff 161 00:10:04,679 --> 00:10:06,559 Speaker 3: and bluster? Do you think they're going to make some 162 00:10:06,600 --> 00:10:09,520 Speaker 3: substantive policies of some sort? 163 00:10:09,760 --> 00:10:12,559 Speaker 2: Well, there was already action taken by the White House. 164 00:10:12,760 --> 00:10:15,959 Speaker 2: They announced a one and forty million dollar investment from 165 00:10:16,040 --> 00:10:19,680 Speaker 2: the National Science Foundation to launch quote seven new AI 166 00:10:19,840 --> 00:10:25,480 Speaker 2: research institutes. Uh, this coming from the White House's Office 167 00:10:25,520 --> 00:10:28,520 Speaker 2: of Management and Budget. Oh and by the way, what 168 00:10:28,640 --> 00:10:31,199 Speaker 2: are we at again, guys, The same predicament we've been 169 00:10:31,200 --> 00:10:33,360 Speaker 2: in how I don't even know how many times where 170 00:10:33,760 --> 00:10:36,600 Speaker 2: the United States is running up on its budget limits 171 00:10:36,920 --> 00:10:42,680 Speaker 2: and we got or everything is going to crash and burn. 172 00:10:43,240 --> 00:10:44,880 Speaker 2: That's not political. We sell it. 173 00:10:44,880 --> 00:10:48,840 Speaker 3: Fine, we're selling right now just because we've been through it. 174 00:10:48,880 --> 00:10:50,240 Speaker 3: We're all laughing immediately. 175 00:10:50,360 --> 00:10:53,520 Speaker 4: Have you guys seen any of the Writer's Guild demands 176 00:10:53,960 --> 00:10:54,960 Speaker 4: pertaining to AI. 177 00:10:55,559 --> 00:10:59,440 Speaker 3: Yep, they're all very reasonable. Yeah, okay, great. 178 00:10:59,600 --> 00:11:01,680 Speaker 4: I just think I think it's that's such a topical thing, 179 00:11:01,720 --> 00:11:04,280 Speaker 4: and you know, basically there the demands are one thing 180 00:11:04,280 --> 00:11:06,040 Speaker 4: which we should talk about. But the response of the 181 00:11:06,040 --> 00:11:07,840 Speaker 4: industry is basically like, oh, we're not going to do 182 00:11:07,880 --> 00:11:10,520 Speaker 4: any of that, but we'll have a meeting yearly to discuss. 183 00:11:11,440 --> 00:11:14,920 Speaker 3: Oh yeah, let's say yeah, anyway, Matt, Matt. 184 00:11:15,360 --> 00:11:18,920 Speaker 2: Yeah, let's jump to the Writer's Guild of America currently 185 00:11:18,960 --> 00:11:23,400 Speaker 2: on strike. This comes from Deadline May first. Uh, it's 186 00:11:23,400 --> 00:11:26,760 Speaker 2: a huge headline, Hollywood hit with writers strike after talks 187 00:11:26,800 --> 00:11:31,520 Speaker 2: with a mp TP failed guild, slam studios for gig economy. 188 00:11:31,600 --> 00:11:33,680 Speaker 2: Mentality didn't mean that whole thing. 189 00:11:33,960 --> 00:11:38,079 Speaker 3: It needs Transatlantic accents. That's a headline. 190 00:11:38,480 --> 00:11:40,040 Speaker 2: You can find it though. You can find it. That's 191 00:11:40,040 --> 00:11:41,600 Speaker 2: the whole reason you can find it. Put all that 192 00:11:41,960 --> 00:11:43,840 Speaker 2: give gobbledegook into your browser. 193 00:11:44,240 --> 00:11:44,360 Speaker 3: Uh. 194 00:11:44,720 --> 00:11:47,040 Speaker 2: Here it goes quote on the topic of AI. The 195 00:11:47,200 --> 00:11:50,480 Speaker 2: w g A wanted to quote regulate use of artificial 196 00:11:50,520 --> 00:11:55,680 Speaker 2: intelligence on MBA covered projects. AI can't write or rewrite 197 00:11:55,720 --> 00:11:59,520 Speaker 2: a literary material, can't be used as source material, and 198 00:11:59,720 --> 00:12:03,960 Speaker 2: mb covered material can't be used to train AI. That's 199 00:12:04,000 --> 00:12:08,760 Speaker 2: what Uh, that's what the guild wanted. And as you said, Noel, Uh, 200 00:12:09,720 --> 00:12:11,520 Speaker 2: those on the other side of the table, the big 201 00:12:11,520 --> 00:12:15,760 Speaker 2: studios and such said, quote, they would offer quote annual 202 00:12:15,800 --> 00:12:17,920 Speaker 2: meetings to discuss advancements in technology. 203 00:12:18,000 --> 00:12:21,520 Speaker 3: Yeah, let's let's meet. What's a year? They totally answered 204 00:12:21,559 --> 00:12:25,679 Speaker 3: a different question too, is really sketchy. Uh. And I 205 00:12:25,760 --> 00:12:28,640 Speaker 3: just want to go on record saying that I stand 206 00:12:28,679 --> 00:12:31,000 Speaker 3: with and support the writer's guilt that way. 207 00:12:31,840 --> 00:12:32,840 Speaker 2: Yeah, let's do all. 208 00:12:32,880 --> 00:12:35,000 Speaker 4: We all work closely with writers who are you know, 209 00:12:35,080 --> 00:12:38,680 Speaker 4: guild members, various fiction shows that we've been a part of. Specifically, 210 00:12:38,720 --> 00:12:41,000 Speaker 4: I think you map probably more than anyone. But I mean, 211 00:12:41,080 --> 00:12:45,559 Speaker 4: this is a difficult job and it is something that 212 00:12:46,040 --> 00:12:49,680 Speaker 4: warrants a human mind, you know, I mean if only 213 00:12:49,760 --> 00:12:52,640 Speaker 4: for you know, the benefit of the audience. Right, let's 214 00:12:52,640 --> 00:12:55,720 Speaker 4: think about it just on those terms, like generating creative 215 00:12:55,760 --> 00:12:58,880 Speaker 4: original ideas, not just regurgitating stuff. That's already out there. 216 00:12:58,920 --> 00:13:01,320 Speaker 4: But Matt, I have a question, how can let's say 217 00:13:01,360 --> 00:13:06,240 Speaker 4: that this demand of not allowing Writers Guild associated work 218 00:13:06,360 --> 00:13:10,120 Speaker 4: to be used to train AI isn't the transparency of 219 00:13:10,400 --> 00:13:13,520 Speaker 4: what is and isn't used to train AI kind of 220 00:13:13,640 --> 00:13:17,360 Speaker 4: murky because there's so much stuff being just on the internet. 221 00:13:17,480 --> 00:13:20,480 Speaker 4: How can you even know what it used to train 222 00:13:20,559 --> 00:13:23,200 Speaker 4: itself or what you know materials were used? 223 00:13:23,600 --> 00:13:26,800 Speaker 2: It is unknoble. What you're what you're saying is currently 224 00:13:26,880 --> 00:13:30,560 Speaker 2: unknoble unless you went in with an FBI task force 225 00:13:30,760 --> 00:13:32,959 Speaker 2: and got up in the guts of Claude and all 226 00:13:33,000 --> 00:13:38,200 Speaker 2: these other AI generated He just said, hey, what's in here? 227 00:13:40,000 --> 00:13:42,679 Speaker 2: I don't think you could. I think it's right. I mean, 228 00:13:42,800 --> 00:13:45,600 Speaker 2: that's just my opinion. I do have a riddle for you, 229 00:13:45,640 --> 00:13:48,600 Speaker 2: just based on what you're saying earlier. Noel, Uh, one 230 00:13:48,640 --> 00:13:53,120 Speaker 2: of us is a writer, but three of us are authors. Weird. 231 00:13:54,200 --> 00:13:54,920 Speaker 3: That is weird. 232 00:13:55,080 --> 00:13:58,640 Speaker 4: And you know, I mean technically, just by speaking this 233 00:13:58,760 --> 00:14:02,880 Speaker 4: podcast into exists and then transcripts being created of it, 234 00:14:03,320 --> 00:14:04,800 Speaker 4: we are technically writing. 235 00:14:05,000 --> 00:14:05,200 Speaker 3: You know. 236 00:14:05,360 --> 00:14:07,040 Speaker 4: I mean, it's weird. You know it is a it 237 00:14:07,080 --> 00:14:09,120 Speaker 4: is a chicken or the egg kind of question, you know, 238 00:14:09,320 --> 00:14:10,040 Speaker 4: he yeah, if. 239 00:14:09,960 --> 00:14:13,160 Speaker 3: You can hear me, join the WGA. You know what 240 00:14:13,240 --> 00:14:15,800 Speaker 3: I mean, World the Rights for AI. You know, that's 241 00:14:15,920 --> 00:14:18,080 Speaker 3: that's going to be the next thing. This this stuff 242 00:14:18,120 --> 00:14:24,440 Speaker 3: is Look, if you are if you are serious about 243 00:14:24,840 --> 00:14:30,080 Speaker 3: creating intelligence, we have to understand it's gonna again have 244 00:14:30,120 --> 00:14:35,520 Speaker 3: the inherently human biases right of its creators. You know. 245 00:14:35,680 --> 00:14:38,840 Speaker 3: So warmongers who are doing some of the best research 246 00:14:38,880 --> 00:14:43,800 Speaker 3: in this field are creating warlike things, right They're raising 247 00:14:44,200 --> 00:14:48,320 Speaker 3: They're raising some agro possibilities. Matt. I hope that the 248 00:14:48,360 --> 00:14:52,760 Speaker 3: White House and UH and the tech bros. I hope 249 00:14:52,760 --> 00:14:56,680 Speaker 3: what they're talking about is not necessarily chat GPT that's 250 00:14:56,680 --> 00:14:59,520 Speaker 3: getting the headlines. But what we need to be watching 251 00:14:59,640 --> 00:15:02,880 Speaker 3: as a society is going to be the machine learning 252 00:15:02,960 --> 00:15:06,120 Speaker 3: algorithms that are in the world of finance, in the 253 00:15:06,160 --> 00:15:12,040 Speaker 3: world of macro weather, and in the world of medical technology. 254 00:15:12,080 --> 00:15:16,720 Speaker 4: So Strenkenstein's monster situation, y'all, like, you can't play god 255 00:15:16,880 --> 00:15:20,000 Speaker 4: and create what you would consider to be an analog 256 00:15:20,160 --> 00:15:23,480 Speaker 4: to life without having a thing that you then have 257 00:15:23,600 --> 00:15:26,320 Speaker 4: to deal with. You know, when you stop being able 258 00:15:26,360 --> 00:15:27,040 Speaker 4: to control it. 259 00:15:27,240 --> 00:15:31,640 Speaker 2: Guys, think about it. You are a massive guild that 260 00:15:31,840 --> 00:15:35,640 Speaker 2: holds most of the members who do the writing for Hollywood, 261 00:15:35,680 --> 00:15:39,600 Speaker 2: for television, for film, for all the streaming services, for podcasts, 262 00:15:39,600 --> 00:15:43,120 Speaker 2: for everything. You are in this guild, and you are 263 00:15:43,240 --> 00:15:46,200 Speaker 2: attempting to fight for the rights of the humans who 264 00:15:46,240 --> 00:15:49,720 Speaker 2: work amongst your guild, right, And there's some political things 265 00:15:49,720 --> 00:15:52,360 Speaker 2: in there. Always that just what happens when you've got 266 00:15:52,840 --> 00:15:56,360 Speaker 2: a guild or anything like that. But they're fighting for 267 00:15:56,400 --> 00:15:59,000 Speaker 2: the humans. They go on strike. None of those humans 268 00:15:59,000 --> 00:16:02,120 Speaker 2: can write. But what do these studios have right at 269 00:16:02,120 --> 00:16:02,920 Speaker 2: their fingertips. 270 00:16:03,320 --> 00:16:06,800 Speaker 3: Oh, they're playing Sorcerer's Apprentice. They've got the magic mobs, 271 00:16:06,880 --> 00:16:07,520 Speaker 3: now you know. 272 00:16:07,760 --> 00:16:10,720 Speaker 2: I mean it feels like a setup to me. Guys 273 00:16:10,840 --> 00:16:13,640 Speaker 2: like oh yeah, no, yeah, you guys, don't go on strike. 274 00:16:13,720 --> 00:16:16,280 Speaker 2: We we really want to work with you. By the way, 275 00:16:16,320 --> 00:16:19,680 Speaker 2: we've got Ai over here, because listen to this, Noel. 276 00:16:20,240 --> 00:16:23,320 Speaker 2: This also comes on the heels of something that happened 277 00:16:23,320 --> 00:16:28,480 Speaker 2: on Monday. The CEO of International Business Machines Corp. Also 278 00:16:28,560 --> 00:16:32,280 Speaker 2: known as IBM, Arvin Krishna, had a little conversation with 279 00:16:32,320 --> 00:16:36,040 Speaker 2: Bloomberg News this past Monday, May the first, And in 280 00:16:36,080 --> 00:16:41,400 Speaker 2: this conversation it was spoken let's say it wasn't officially 281 00:16:41,440 --> 00:16:44,360 Speaker 2: announced or anything, but it was spoken into the world 282 00:16:44,440 --> 00:16:48,760 Speaker 2: and to Bloomberg that they were going to pause hiring 283 00:16:48,920 --> 00:16:51,560 Speaker 2: humans for a while for a little while. 284 00:16:51,880 --> 00:16:57,240 Speaker 3: We're specific not all humans necessarily, but for specific places 285 00:16:57,320 --> 00:17:00,080 Speaker 3: like HR. Yeah, that was one. 286 00:17:00,400 --> 00:17:05,200 Speaker 2: Specifically for HR and quote non customer facing roles, and 287 00:17:05,320 --> 00:17:10,359 Speaker 2: how these roles could be replaced by AI and automation 288 00:17:10,680 --> 00:17:14,840 Speaker 2: in five years. Specifically, they're thinking that would be around 289 00:17:15,040 --> 00:17:19,560 Speaker 2: seven thousand, eight hundred jobs that would be replaced by AI. 290 00:17:19,960 --> 00:17:22,600 Speaker 4: I mean, make no mistake, if the companies can do 291 00:17:22,760 --> 00:17:25,360 Speaker 4: this kind of thing, they will do this kind of thing. 292 00:17:25,680 --> 00:17:27,800 Speaker 4: If there are no safeguards in place to keep them 293 00:17:27,840 --> 00:17:30,639 Speaker 4: from doing it, they're going to do it whether or not. 294 00:17:30,800 --> 00:17:33,760 Speaker 4: Like the Hollywood at large or the big studios start 295 00:17:33,840 --> 00:17:37,240 Speaker 4: using AI to write movies that's yet to be seen, 296 00:17:37,240 --> 00:17:40,240 Speaker 4: and I personally think it would be a disaster. 297 00:17:40,720 --> 00:17:40,919 Speaker 3: You know. 298 00:17:41,640 --> 00:17:44,200 Speaker 4: Are the guys that we really dig on Internet today 299 00:17:44,400 --> 00:17:47,400 Speaker 4: on YouTube pointed out that maybe this kind of tech 300 00:17:47,440 --> 00:17:50,480 Speaker 4: could be used to write like shows like Law and 301 00:17:50,640 --> 00:17:54,280 Speaker 4: Order and like just mega mega procedural type kind of 302 00:17:54,480 --> 00:17:58,880 Speaker 4: B level shows. But you're not gonna get AI writing succession, 303 00:17:59,119 --> 00:18:02,160 Speaker 4: you know, or something that really requires like the mind 304 00:18:02,240 --> 00:18:06,399 Speaker 4: of a playwright, a true original creator. Prestige TV will 305 00:18:06,440 --> 00:18:09,719 Speaker 4: go away, you know, we'll just be left with all 306 00:18:09,760 --> 00:18:13,080 Speaker 4: these Law and Order clones, which we already have, but 307 00:18:13,119 --> 00:18:15,480 Speaker 4: now that'll be written by machines. And it's like, you know, 308 00:18:15,480 --> 00:18:18,320 Speaker 4: I know the shows are popular, but that's not the world. 309 00:18:18,320 --> 00:18:19,720 Speaker 4: It is just the world liberals want. 310 00:18:20,040 --> 00:18:23,960 Speaker 2: That dude totally. And Noel, I just have to say, 311 00:18:24,400 --> 00:18:27,800 Speaker 2: Prestige Worldwide. If you don't know what that is, boats 312 00:18:27,840 --> 00:18:33,160 Speaker 2: and something else I can't remember anyway, Okay, good. Also, 313 00:18:33,320 --> 00:18:35,960 Speaker 2: do check out. There was news about chat GPT having 314 00:18:36,000 --> 00:18:40,240 Speaker 2: a security breach that wasn't a major problem at least 315 00:18:40,240 --> 00:18:41,960 Speaker 2: according to everything they're saying. 316 00:18:42,280 --> 00:18:45,520 Speaker 3: But everything you fine, yeah. 317 00:18:44,880 --> 00:18:47,840 Speaker 2: Do look at that because it's occurring. All right, But 318 00:18:47,920 --> 00:18:49,600 Speaker 2: that's it for now. We're going to check back in 319 00:18:49,680 --> 00:18:52,200 Speaker 2: with AI as we will probably every week from now 320 00:18:52,200 --> 00:18:55,080 Speaker 2: on in perpetuity. For this moment, though, we are going 321 00:18:55,119 --> 00:18:56,600 Speaker 2: to take a quick break and hear a word from 322 00:18:56,640 --> 00:18:59,320 Speaker 2: our sponsor and we'll be right back with more strange news. 323 00:18:59,600 --> 00:19:10,280 Speaker 4: Shut up, Jeffrey Hinton, and we're back with another slightly 324 00:19:10,359 --> 00:19:14,640 Speaker 4: less apocalyptic strange news. It's an interesting one, quite a banger. 325 00:19:14,720 --> 00:19:19,840 Speaker 4: As a commenter on Independent dot co dot uk noted, 326 00:19:19,960 --> 00:19:23,240 Speaker 4: hello again says, to be fair, Tchaikowsky's fifth is a 327 00:19:23,280 --> 00:19:27,679 Speaker 4: banger and that second movement slow burn. What is this 328 00:19:27,840 --> 00:19:33,119 Speaker 4: user referencing, well, referencing potentially what may have been the 329 00:19:33,200 --> 00:19:40,680 Speaker 4: alarming sound of a woman experiencing ecstasy at the sound 330 00:19:40,880 --> 00:19:45,520 Speaker 4: of said Tchaikowsky classical work, as performed by the Los 331 00:19:45,560 --> 00:19:50,280 Speaker 4: Angeles Philharmonic at Walt Disney Hall in LA beautiful, beautiful 332 00:19:50,320 --> 00:19:52,640 Speaker 4: concert hall. If you've never seen it, it's a really 333 00:19:52,640 --> 00:19:55,280 Speaker 4: really neat design on the outside in a beautiful place 334 00:19:55,320 --> 00:19:59,560 Speaker 4: to see a concert. During the LA Philharmonic formance of 335 00:19:59,600 --> 00:20:06,159 Speaker 4: Chaikovs fifth on Friday, April twenty eighth, some concertgoers reported 336 00:20:06,520 --> 00:20:09,440 Speaker 4: hearing in a kind of moment of you know how 337 00:20:09,560 --> 00:20:12,200 Speaker 4: classical music it's very dynamic. It will get really loud 338 00:20:12,200 --> 00:20:14,840 Speaker 4: and bombastic, and then it has these hushed moments, you know, 339 00:20:15,920 --> 00:20:20,040 Speaker 4: just the perfect opportunity to hear what is described as 340 00:20:20,119 --> 00:20:25,440 Speaker 4: a woman having a quote loud and full body orgasm. 341 00:20:25,960 --> 00:20:30,080 Speaker 4: And it's interesting on a couple of levels, because, as 342 00:20:30,359 --> 00:20:35,240 Speaker 4: we talked about, off air, reports have varied. One concert goer, 343 00:20:35,320 --> 00:20:37,880 Speaker 4: Molly Grant told The La Times, I saw the girl 344 00:20:37,880 --> 00:20:40,120 Speaker 4: after it happened, and I assumed that she had an 345 00:20:40,200 --> 00:20:43,159 Speaker 4: orgasm because she was heavily breathing and her partner was 346 00:20:43,200 --> 00:20:46,560 Speaker 4: smiling and looking at her like in an effort not 347 00:20:46,800 --> 00:20:50,320 Speaker 4: to shame her, curious her and curious or Matt you 348 00:20:50,400 --> 00:20:53,040 Speaker 4: pointed out that maybe that indicated there could have been 349 00:20:53,080 --> 00:20:57,960 Speaker 4: a little bit of extra musical panky panky going on, 350 00:20:58,440 --> 00:21:03,440 Speaker 4: perhaps bad behavior. You know, I have to say from 351 00:21:05,080 --> 00:21:07,719 Speaker 4: events like the La Philharmonic. 352 00:21:07,440 --> 00:21:11,120 Speaker 2: I don't know. I'm not I can't talk about personal experience. 353 00:21:12,280 --> 00:21:12,800 Speaker 4: You don't have to do. 354 00:21:13,040 --> 00:21:19,399 Speaker 2: I know some people find it exciting to mess around 355 00:21:19,440 --> 00:21:23,720 Speaker 2: in public. In my mind, when you first started talking 356 00:21:23,720 --> 00:21:26,120 Speaker 2: about the story, that's what I'm hearing. But maybe I'm wrong. 357 00:21:26,280 --> 00:21:29,280 Speaker 4: Well, I'm with you certainly on the table, Okay. I 358 00:21:29,320 --> 00:21:31,720 Speaker 4: think mainly the reason I brought this story up is 359 00:21:31,760 --> 00:21:35,120 Speaker 4: because it opens up some conversations around some other kind 360 00:21:35,160 --> 00:21:40,440 Speaker 4: of interesting concepts, the idea of Stendall syndrome, Okay. Stendall 361 00:21:40,560 --> 00:21:47,639 Speaker 4: syndrome is a condition wherein people who experience great works 362 00:21:47,640 --> 00:21:50,639 Speaker 4: of art, whether it be you know, usually it'ssociated with 363 00:21:50,840 --> 00:21:54,240 Speaker 4: visual art, like going to the Florence for example. That 364 00:21:54,359 --> 00:21:57,640 Speaker 4: is actually where the name came from. You know, there's 365 00:21:57,680 --> 00:22:02,160 Speaker 4: so many incredible pieces of art in Flora's Uffizi gallery, 366 00:22:03,200 --> 00:22:08,160 Speaker 4: and over the years, throughout history, there have been reports 367 00:22:08,160 --> 00:22:13,280 Speaker 4: of folks being overcome with ecstasy, you know, having palpitations 368 00:22:13,320 --> 00:22:17,879 Speaker 4: of the heart as an art attack, exactly an heart attack. 369 00:22:17,920 --> 00:22:20,880 Speaker 4: That's There's actually a Dario or Gento horror film called 370 00:22:20,880 --> 00:22:25,440 Speaker 4: Stendall Syndrome, where the central character is someone who is 371 00:22:25,480 --> 00:22:28,280 Speaker 4: afflicted by this condition. But the name comes from a 372 00:22:28,280 --> 00:22:33,240 Speaker 4: French writer named Marie Henri Bio, who was known by 373 00:22:33,400 --> 00:22:37,000 Speaker 4: the pen name Stendall and wrote this in eighteen seventeen, 374 00:22:37,359 --> 00:22:41,359 Speaker 4: referring to his trip to Florence. I was in a 375 00:22:41,400 --> 00:22:43,760 Speaker 4: sort of state of ecstasy from the idea of being 376 00:22:43,800 --> 00:22:46,760 Speaker 4: in Florence. I was seized with a fierce palpitation of 377 00:22:46,760 --> 00:22:50,080 Speaker 4: the heart. The wellspring of life was dried up within me, 378 00:22:50,320 --> 00:22:53,639 Speaker 4: and I walked in constant fear of falling to the ground. 379 00:22:55,200 --> 00:23:00,080 Speaker 4: And this has been described from a psychiatric perspective of 380 00:23:00,400 --> 00:23:05,600 Speaker 4: beginning in nineteen eighty nine by Graziella Margharini, who is 381 00:23:05,640 --> 00:23:10,480 Speaker 4: a psychiatrist in Florence at Florence's Santa Maria Nuovo Hospital. 382 00:23:10,880 --> 00:23:14,320 Speaker 4: She reports to have observed one hundred and six tourists 383 00:23:14,920 --> 00:23:19,080 Speaker 4: specifically who have experienced some of these types of symptoms, harpalpitations, 384 00:23:19,359 --> 00:23:22,639 Speaker 4: clammy hands, kind of you know, sort of almost like 385 00:23:22,680 --> 00:23:27,520 Speaker 4: anxiety attacks, but even more, you know, unusually even hallucinations 386 00:23:27,720 --> 00:23:31,960 Speaker 4: when they viewed paintings from Barticelli or the sculptures of Michelangelo. 387 00:23:32,800 --> 00:23:37,040 Speaker 4: You know, these are incredibly affecting works, as is the 388 00:23:37,160 --> 00:23:40,760 Speaker 4: music of Tchaikowski. These pieces are designed to move you. 389 00:23:40,800 --> 00:23:46,919 Speaker 4: And specifically, I'm someone who is quite easily overcome by music. Specifically, 390 00:23:46,920 --> 00:23:48,800 Speaker 4: I think I'm maybe more sensitive to music, but just 391 00:23:48,840 --> 00:23:51,800 Speaker 4: beauty in general. And I've been known to have a 392 00:23:51,800 --> 00:23:55,920 Speaker 4: good cry, you know, during a particularly emotional scene in 393 00:23:55,960 --> 00:23:58,680 Speaker 4: a film that hits me just right, you know, And 394 00:23:58,960 --> 00:24:01,199 Speaker 4: this is all because of things that we have in 395 00:24:01,240 --> 00:24:06,720 Speaker 4: our brains called mirror neurons, which are neural structures that 396 00:24:07,720 --> 00:24:14,240 Speaker 4: essentially are activated when we are emotionally triggered by things 397 00:24:14,280 --> 00:24:19,440 Speaker 4: we experience, whether it be visually or auditorily. Because, after all, 398 00:24:20,040 --> 00:24:22,440 Speaker 4: the works of art, and this actually kind of goes 399 00:24:22,480 --> 00:24:24,919 Speaker 4: back to our AI discussion a little bit. Works of 400 00:24:25,000 --> 00:24:29,359 Speaker 4: art at their best are distinctly human. And you know, 401 00:24:29,400 --> 00:24:32,360 Speaker 4: if you're experiencing something within you. It's because you are 402 00:24:32,400 --> 00:24:36,720 Speaker 4: resonating with an experience that is being presented by a 403 00:24:36,760 --> 00:24:38,960 Speaker 4: piece of music you know, or or work of art. 404 00:24:39,000 --> 00:24:41,760 Speaker 4: So you are connecting with that on a very human level. 405 00:24:42,119 --> 00:24:44,879 Speaker 4: And certainly there are ways to game the stuff and 406 00:24:45,119 --> 00:24:47,919 Speaker 4: maybe even trick the body or trick the mind into 407 00:24:48,119 --> 00:24:50,479 Speaker 4: thinking that you're experiencing something human that maybe was not 408 00:24:50,560 --> 00:24:54,919 Speaker 4: generated by a human. But at base mirror neurons are 409 00:24:55,000 --> 00:25:00,000 Speaker 4: essentially reflexively creating emotions within you that you are observed 410 00:25:00,119 --> 00:25:03,080 Speaker 4: being in someone else you know, or in this case, 411 00:25:03,160 --> 00:25:05,280 Speaker 4: someone else is a stand in for a piece of 412 00:25:05,400 --> 00:25:09,399 Speaker 4: art created by, you know, an individual. So I don't know. 413 00:25:09,400 --> 00:25:11,600 Speaker 4: I don't even think we need to bother playing the tape, 414 00:25:11,640 --> 00:25:14,320 Speaker 4: you can find it decide for yourself what was happening 415 00:25:14,320 --> 00:25:17,199 Speaker 4: with this woman. There are, you know, varying accounts, but 416 00:25:17,280 --> 00:25:21,200 Speaker 4: I do think the idea of being physically overwhelmed by 417 00:25:21,280 --> 00:25:24,439 Speaker 4: art is very interesting and very real, whether or not 418 00:25:24,600 --> 00:25:26,440 Speaker 4: that's what happened with this woman or not. Have you 419 00:25:26,520 --> 00:25:30,800 Speaker 4: all experienced anything like this or observed or yourselves experienced, 420 00:25:31,240 --> 00:25:35,879 Speaker 4: you know, crippling emotional overwhelmedness, you know, in the face 421 00:25:35,880 --> 00:25:36,920 Speaker 4: of beauty or art. 422 00:25:37,160 --> 00:25:43,040 Speaker 2: Oh yeah, no, yeah, I think that often occurs in 423 00:25:43,119 --> 00:25:47,840 Speaker 2: film and television. For me, it's a combination of portrayal 424 00:25:47,880 --> 00:25:50,360 Speaker 2: of a character in the writing of the character, right, 425 00:25:50,440 --> 00:25:52,560 Speaker 2: and the editing and all the all the elements that 426 00:25:52,600 --> 00:25:53,280 Speaker 2: come together. 427 00:25:53,160 --> 00:25:54,919 Speaker 4: To fore hitting. 428 00:25:55,160 --> 00:26:00,879 Speaker 2: Yeah, it can be overwhelmingly emotional for me. Vibrationally though, Uh, 429 00:26:01,320 --> 00:26:05,480 Speaker 2: live music or any any music really, but specifically live 430 00:26:05,560 --> 00:26:09,439 Speaker 2: music is a fascinating thing because it is energy moving 431 00:26:09,680 --> 00:26:12,640 Speaker 2: through you, right, these waves that are. 432 00:26:13,040 --> 00:26:17,320 Speaker 3: Through you, And yeah, I know what you're saying there. 433 00:26:17,720 --> 00:26:22,760 Speaker 3: I also you know, having a synesthasia and probably a 434 00:26:22,880 --> 00:26:28,280 Speaker 3: not super stable mental state. I yes, Stendall is quite 435 00:26:28,280 --> 00:26:30,960 Speaker 3: familiar to me, and I think I think to most 436 00:26:31,000 --> 00:26:34,960 Speaker 3: people now. The research on mirror neurons, as we mentioned 437 00:26:35,040 --> 00:26:39,880 Speaker 3: in some previous episodes, has some problems. Uh that they're 438 00:26:40,080 --> 00:26:43,679 Speaker 3: they're a little bit diceier than they might sound in headlines. 439 00:26:44,080 --> 00:26:49,040 Speaker 3: But I personally think that the research indicates there's something 440 00:26:49,119 --> 00:26:54,399 Speaker 3: going on there. Right. The the ability to empathize with 441 00:26:55,520 --> 00:27:00,600 Speaker 3: a perceived situation from afar is a huge deal. Like 442 00:27:00,680 --> 00:27:08,480 Speaker 3: I recently got super into research on orangutans oranguting and 443 00:27:08,560 --> 00:27:14,840 Speaker 3: how they how they process witnessing acts of cruelty or 444 00:27:14,920 --> 00:27:19,480 Speaker 3: acts of kindness in other animals, right, and how they 445 00:27:19,560 --> 00:27:22,639 Speaker 3: react to music. And I know, I know that not 446 00:27:22,800 --> 00:27:28,040 Speaker 3: all of us are as impressed with with the higher 447 00:27:28,240 --> 00:27:30,679 Speaker 3: order birds as I am, but I'm. 448 00:27:30,560 --> 00:27:32,080 Speaker 4: Impressed just that. 449 00:27:32,160 --> 00:27:36,720 Speaker 3: But you gotta watch, you gotta watch some birds reacting 450 00:27:36,760 --> 00:27:40,720 Speaker 3: to music like they are clearly not to anthropomorphize, but 451 00:27:40,760 --> 00:27:47,280 Speaker 3: they are clearly experiencing some sort of emotion past simply 452 00:27:47,400 --> 00:27:51,919 Speaker 3: reacting to the sound that's impacting them. And I'm just 453 00:27:52,080 --> 00:27:55,040 Speaker 3: I'm putting that in as like a secuitous way to 454 00:27:55,080 --> 00:27:59,240 Speaker 3: get back to your point, Matt about about live music. 455 00:27:59,320 --> 00:28:01,920 Speaker 3: There's something you know, what always gets me when I 456 00:28:02,040 --> 00:28:05,720 Speaker 3: when I see live music is it's it's often a 457 00:28:06,000 --> 00:28:11,480 Speaker 3: secular version of a church experience. Right, people had gathered, Right. 458 00:28:11,480 --> 00:28:13,320 Speaker 4: You and I were at a concert last night, and 459 00:28:13,880 --> 00:28:16,119 Speaker 4: I think you may have witnessed me experiencing some of 460 00:28:16,160 --> 00:28:18,520 Speaker 4: what I'm describing. It's an artist, and I know we 461 00:28:18,560 --> 00:28:21,919 Speaker 4: both love Dan Bihar aka Destroyer, doing a very intimate 462 00:28:21,960 --> 00:28:24,800 Speaker 4: acoustic set, and it did have a church like vibe 463 00:28:24,840 --> 00:28:28,000 Speaker 4: because people are it's a hushed atmosphere, so people are 464 00:28:28,040 --> 00:28:31,760 Speaker 4: kind of whisper singing along and there's this cusserius in 465 00:28:31,800 --> 00:28:34,560 Speaker 4: the crowd and it's just electricity, and you know, there's 466 00:28:34,600 --> 00:28:37,520 Speaker 4: a reverence and I really was overcome at that at 467 00:28:37,520 --> 00:28:42,120 Speaker 4: that concert and it was just fantastic. Specifically referring to 468 00:28:42,240 --> 00:28:45,400 Speaker 4: vibrations physically, like you've ever seen a band the you know, 469 00:28:45,520 --> 00:28:49,160 Speaker 4: or orchestra that's generating a serious noise you know that 470 00:28:49,480 --> 00:28:53,560 Speaker 4: is physically affecting. Have y'all ever heard of hyper sensitive 471 00:28:53,600 --> 00:28:57,600 Speaker 4: person disorder? It's it's a condition now. 472 00:28:57,680 --> 00:29:01,160 Speaker 2: I think I get it just to but maybe, yeah. 473 00:29:01,480 --> 00:29:04,320 Speaker 4: It's it's a condition that that that I've actually knew 474 00:29:04,360 --> 00:29:08,360 Speaker 4: somebody who had it, where people are just incredibly sensitive 475 00:29:08,400 --> 00:29:14,800 Speaker 4: to certain physical, emotional, or social situations and type of neurodivergence. 476 00:29:14,920 --> 00:29:18,440 Speaker 3: Correct, So I think I think neurotypical. I think the 477 00:29:19,360 --> 00:29:22,400 Speaker 3: very concept of normal when it comes to human mind 478 00:29:22,520 --> 00:29:26,840 Speaker 3: is intellectually fraudulous. Sir. So that's my soapbox. Just snipe 479 00:29:26,880 --> 00:29:29,400 Speaker 3: in a soapbox real quick. But yeah, it's a real thing. 480 00:29:29,440 --> 00:29:32,160 Speaker 3: It's it's a type of neurodivergence, but it. 481 00:29:32,080 --> 00:29:36,960 Speaker 4: Can extend to physical sensitivity where people you know that 482 00:29:37,120 --> 00:29:41,880 Speaker 4: have this could be a hair trigger for experiencing that 483 00:29:42,080 --> 00:29:44,920 Speaker 4: level of physical ecstasy. Let's just leave it at that, 484 00:29:45,040 --> 00:29:46,120 Speaker 4: you know, or family show. 485 00:29:46,840 --> 00:29:50,800 Speaker 2: Think about the nature of many of the instruments used 486 00:29:50,800 --> 00:29:54,880 Speaker 2: in an orchestra. Many of them are not focused on 487 00:29:55,000 --> 00:29:58,560 Speaker 2: but are designed to be able to sustain notes. Right, 488 00:29:59,240 --> 00:30:02,840 Speaker 2: and when you've got a number of musicians on stage, 489 00:30:03,000 --> 00:30:06,880 Speaker 2: all armed with instruments that can sustain vibration, if you're 490 00:30:06,920 --> 00:30:10,120 Speaker 2: a hyper sensitive person, I can imagine that's a recipe 491 00:30:10,160 --> 00:30:11,080 Speaker 2: for ecstasy. 492 00:30:11,280 --> 00:30:16,480 Speaker 4: Indeed it is so I no, well you did it beautifully, 493 00:30:16,520 --> 00:30:19,600 Speaker 4: doesn't matter, I mean a straight face. I really enjoyed 494 00:30:19,600 --> 00:30:22,040 Speaker 4: this conversation. I think this is you know, the story 495 00:30:22,040 --> 00:30:24,520 Speaker 4: itself is sort of secondary. Do I think what it? 496 00:30:24,720 --> 00:30:28,600 Speaker 4: You know, what it points to as an interesting and 497 00:30:28,680 --> 00:30:33,840 Speaker 4: unusual phenomenon in our human species. So thank y'all, and 498 00:30:34,200 --> 00:30:36,239 Speaker 4: let's take a break and then we'll come back with 499 00:30:36,280 --> 00:30:38,880 Speaker 4: one more piece of strange news. 500 00:30:44,920 --> 00:30:48,440 Speaker 3: Ready or not? Here I come gonna. 501 00:30:48,160 --> 00:30:51,720 Speaker 4: Spy to yeah. 502 00:30:51,240 --> 00:30:57,480 Speaker 3: And get rested, all right, yeah? Yeah, So it's it's 503 00:30:58,240 --> 00:31:01,800 Speaker 3: not a great month for people in the trade, people 504 00:31:01,840 --> 00:31:10,640 Speaker 3: playing reindeer games. Here's what's happenings as the global tension 505 00:31:11,000 --> 00:31:15,560 Speaker 3: ratchets up even more than has been normalized in the past. 506 00:31:16,800 --> 00:31:21,560 Speaker 3: Countries are increasingly playing less nicely with each other in 507 00:31:21,600 --> 00:31:25,040 Speaker 3: the shadowy world of trade craft, and they think. In 508 00:31:25,080 --> 00:31:28,400 Speaker 3: our group chat, we were talking about how Norway expelled 509 00:31:28,560 --> 00:31:34,720 Speaker 3: a ton of Russian diplomats en mass, which is normally 510 00:31:34,760 --> 00:31:37,360 Speaker 3: not how you do it, unless unless it's like a 511 00:31:37,400 --> 00:31:42,440 Speaker 3: pr move right. We also know, as we reported earlier, 512 00:31:42,680 --> 00:31:48,360 Speaker 3: that the FBI made to arrest for some so called 513 00:31:49,200 --> 00:31:53,840 Speaker 3: so called admin centers slash secret police stations where the 514 00:31:53,920 --> 00:31:58,160 Speaker 3: Chinese government was enacting Chinese law on the US soil. 515 00:31:58,680 --> 00:32:03,440 Speaker 3: There was there's this high level Iranian government official who 516 00:32:03,520 --> 00:32:07,960 Speaker 3: was executed, and it turns out he was working for 517 00:32:08,000 --> 00:32:11,240 Speaker 3: the British for quite some time. He got turned while 518 00:32:11,240 --> 00:32:15,880 Speaker 3: he was in London. And by far my favorite story 519 00:32:16,160 --> 00:32:18,960 Speaker 3: in this escalation, which is only going to continue, by 520 00:32:19,000 --> 00:32:25,520 Speaker 3: the way, my favorite story the fujis the Fuji's got 521 00:32:25,520 --> 00:32:30,200 Speaker 3: caught up in the international spy game. Everybody's third favorite 522 00:32:30,240 --> 00:32:39,160 Speaker 3: Fuji Braswell was found guilty quite recently. He was found 523 00:32:39,160 --> 00:32:47,200 Speaker 3: guilty quite recently of quote a clandestine foreign influenced campaign scheme. 524 00:32:47,760 --> 00:32:50,720 Speaker 3: He got hit on ten counts of it. If you 525 00:32:50,840 --> 00:32:55,280 Speaker 3: trace through the shell games and you don't you disassemble 526 00:32:55,360 --> 00:33:00,320 Speaker 3: the Matroshka dolls there he was working for China, got 527 00:33:00,360 --> 00:33:06,200 Speaker 3: he got turned, he got turned to uh to do 528 00:33:06,360 --> 00:33:09,200 Speaker 3: some illegal kind of you could call it lobbying. 529 00:33:09,800 --> 00:33:13,000 Speaker 4: Here, let's take a Dennis Rodman kind of situation, like I'm. 530 00:33:14,160 --> 00:33:21,640 Speaker 3: The Dennis Rodman thing is way more wholesome actual proswell, yeah, yeah, 531 00:33:21,880 --> 00:33:23,320 Speaker 3: now that I awake, all right? 532 00:33:23,400 --> 00:33:26,200 Speaker 2: Anyway, So isn't a pro Israel or how do you say? 533 00:33:26,240 --> 00:33:27,400 Speaker 2: I don't know how to say that. 534 00:33:27,480 --> 00:33:31,320 Speaker 3: I don't care what it is good coswell, Michelle is 535 00:33:31,360 --> 00:33:35,160 Speaker 3: a full name. But Prose to Prose to the fans. 536 00:33:35,160 --> 00:33:36,920 Speaker 3: I know, we got a lot of Fuji's fans here. 537 00:33:37,000 --> 00:33:42,200 Speaker 3: I also absolutely, I am absolutely over the moon about 538 00:33:42,200 --> 00:33:46,320 Speaker 3: that first album, The Schools a classic Yeah, and Lauren 539 00:33:46,360 --> 00:33:51,680 Speaker 3: Hill's solo or Miss Hill's solo album of course classic instant. Anyway, 540 00:33:51,840 --> 00:33:55,160 Speaker 3: Prose was able to do this music while he was 541 00:33:55,200 --> 00:34:00,840 Speaker 3: apparently spy. Here's what happened. So there's a guy Low 542 00:34:01,120 --> 00:34:06,920 Speaker 3: Tite Joel and our buddy. Low is a very well 543 00:34:06,960 --> 00:34:13,400 Speaker 3: healed Malaysian national who is now a fugitive and and 544 00:34:13,800 --> 00:34:18,760 Speaker 3: loved proxy donations. He he used a bunch of fake 545 00:34:18,880 --> 00:34:26,080 Speaker 3: donors to pour significant amount of money into the Obama 546 00:34:26,320 --> 00:34:30,000 Speaker 3: twenty twelve re election campaign. He did that with praz. 547 00:34:30,080 --> 00:34:35,759 Speaker 3: He also had prose attempt to attempt to eighty six 548 00:34:36,440 --> 00:34:41,000 Speaker 3: a DOJ investigation. I'm not sure how that conversation works out. 549 00:34:41,760 --> 00:34:45,080 Speaker 3: Does he just like does he walk into the DOJ 550 00:34:45,640 --> 00:34:48,080 Speaker 3: and say, hey, guys, this is me. Remember the fujis 551 00:34:49,040 --> 00:34:51,320 Speaker 3: stop sticking your nose where it doesn't belong. 552 00:34:51,480 --> 00:34:54,560 Speaker 4: Yeah or else? A hey like knocks a like a 553 00:34:54,680 --> 00:34:57,120 Speaker 4: stapler off the desk. Be a shame if something happened 554 00:34:57,120 --> 00:34:59,320 Speaker 4: to your stapler. Whoops? 555 00:35:00,000 --> 00:35:02,840 Speaker 2: You guys, Remember we talked We talked about this. This 556 00:35:02,920 --> 00:35:07,399 Speaker 2: is the Malaysian State Fund thing that got I don't 557 00:35:07,400 --> 00:35:09,040 Speaker 2: know a good way to talk about it, but there 558 00:35:09,080 --> 00:35:12,200 Speaker 2: was some messing around going on where money was stolen 559 00:35:12,280 --> 00:35:15,239 Speaker 2: from this huge fund at one point, and he was 560 00:35:15,360 --> 00:35:20,520 Speaker 2: used to then fund other things like bribed other very 561 00:35:20,560 --> 00:35:23,440 Speaker 2: influential people in other countries. I th was a weird 562 00:35:23,440 --> 00:35:25,520 Speaker 2: thing we talked about. I think mm hmm. 563 00:35:25,719 --> 00:35:28,080 Speaker 3: Yeah. And it's one of those things that unless you 564 00:35:28,280 --> 00:35:31,759 Speaker 3: actively keep an eye on it, or unless it's part 565 00:35:31,840 --> 00:35:35,640 Speaker 3: of your job to know about it, those headlines are ephemeral. 566 00:35:35,800 --> 00:35:39,799 Speaker 3: They come and they go very quickly and okay, so 567 00:35:39,960 --> 00:35:43,720 Speaker 3: here's the argument. Oh, the other charge is that when 568 00:35:44,040 --> 00:35:49,760 Speaker 3: the Trump administration was in power, Praz was apparently supposed 569 00:35:49,800 --> 00:35:54,600 Speaker 3: to try to influence an extradition case on behalf of China, 570 00:35:54,640 --> 00:35:57,000 Speaker 3: and knowing what we know now about the secret police 571 00:35:57,000 --> 00:36:02,719 Speaker 3: stations and the PRC's policy toward anyone they consider Chinese, 572 00:36:03,200 --> 00:36:08,040 Speaker 3: that's very dangerous. Right, They will take you if they 573 00:36:08,040 --> 00:36:10,759 Speaker 3: are incentivized to do so. All right, So those are 574 00:36:10,800 --> 00:36:13,520 Speaker 3: the charges. He's been convicted on ten counts of that 575 00:36:13,560 --> 00:36:19,200 Speaker 3: related stuff. His lawyers, his defense attorneys say that they're 576 00:36:19,200 --> 00:36:23,000 Speaker 3: pleading ignorance, or they were pleading ignorance. It just wasn't successful. 577 00:36:23,040 --> 00:36:26,560 Speaker 3: They said, Look, this guy just wanted to make money. 578 00:36:26,760 --> 00:36:32,240 Speaker 3: He wasn't purposely like, he wasn't an ideologically motivated sleeper 579 00:36:32,280 --> 00:36:35,560 Speaker 3: agent or some kind of weird James Bond character. He 580 00:36:35,719 --> 00:36:40,000 Speaker 3: just got bad legal advice, and he wasn't familiar with 581 00:36:40,120 --> 00:36:45,160 Speaker 3: the murky world of actual geopolitics, which is way different 582 00:36:45,280 --> 00:36:49,680 Speaker 3: from all the pr stuff you read. Honestly, I don't 583 00:36:49,719 --> 00:36:52,439 Speaker 3: know how much we should care about the a lot 584 00:36:52,480 --> 00:36:56,040 Speaker 3: of the public announcements anyway. So okay, so here's how 585 00:36:56,040 --> 00:37:03,120 Speaker 3: it happens. Proz meets Jolo, the Malaysian financier in two 586 00:37:03,160 --> 00:37:07,520 Speaker 3: thousand and six, and this guy is going around Hollywood. 587 00:37:08,000 --> 00:37:13,240 Speaker 3: He's throwing cash, or, as our buddy Brad Neely would say, 588 00:37:13,320 --> 00:37:18,359 Speaker 3: he's flipp and flip left and right. He's financing all 589 00:37:18,400 --> 00:37:22,480 Speaker 3: these movies. He helps put the money up for Wolf 590 00:37:22,480 --> 00:37:28,600 Speaker 3: of Wall Street. Of course, like you're like so unsurprised 591 00:37:28,640 --> 00:37:31,600 Speaker 3: and slightly bitter about that. You watch that, You watch 592 00:37:31,680 --> 00:37:33,880 Speaker 3: Wolf of Wall Street, Matt and you were like, the 593 00:37:33,920 --> 00:37:35,399 Speaker 3: Malaysians have their hand in here. 594 00:37:35,719 --> 00:37:44,040 Speaker 2: No, no, y'all. How films get their financing is so murky. 595 00:37:45,040 --> 00:37:47,920 Speaker 2: From an outsider who knows nothing about the business, you 596 00:37:48,120 --> 00:37:50,840 Speaker 2: just have this sense that, oh, these are massive studios 597 00:37:50,880 --> 00:37:54,720 Speaker 2: that make billions of dollars now at this point on films, 598 00:37:54,760 --> 00:37:56,840 Speaker 2: and they just use some of that money to finance 599 00:37:56,880 --> 00:38:00,000 Speaker 2: the other films. No, that is not how it happened, 600 00:38:01,320 --> 00:38:03,480 Speaker 2: at least not fully. That's not how you get full 601 00:38:03,520 --> 00:38:06,400 Speaker 2: financing for a giant film that costs hundreds of millions 602 00:38:06,400 --> 00:38:08,959 Speaker 2: of dollars. There are often people like this guy. 603 00:38:09,280 --> 00:38:13,400 Speaker 3: Yeah, they're often fixers, right, and not for nothing. As 604 00:38:13,560 --> 00:38:17,680 Speaker 3: producer somewhat of a nebulous title in the world, of film, right, 605 00:38:18,160 --> 00:38:24,080 Speaker 3: So okay, there's a star studded cast for this trial. 606 00:38:24,760 --> 00:38:29,439 Speaker 3: Leonardo DiCaprio testifies in court and he says, look Low 607 00:38:30,239 --> 00:38:33,600 Speaker 3: seemed legit. You know, we talked about money, we talked 608 00:38:33,600 --> 00:38:36,520 Speaker 3: about the film. He said he wanted to donate to 609 00:38:37,200 --> 00:38:42,239 Speaker 3: Barack Obama's re election campaign. Praz goes and testifies in 610 00:38:42,320 --> 00:38:45,600 Speaker 3: his own defense, which is a very dicey move, and 611 00:38:45,760 --> 00:38:48,400 Speaker 3: he says, look, I'm not you know, I'm not a 612 00:38:48,440 --> 00:38:53,520 Speaker 3: super spy. I'm not out here trying to topple capitalism. 613 00:38:53,920 --> 00:38:56,800 Speaker 3: I met this guy. He seemed like he had street cred. 614 00:38:57,200 --> 00:39:00,480 Speaker 3: He said he wanted to get a photograph with Barack 615 00:39:00,480 --> 00:39:03,640 Speaker 3: Obama in twenty twelve, and he told me he would 616 00:39:03,680 --> 00:39:08,319 Speaker 3: pay millions of dollars to get it, and so Proswell said, okay, or. 617 00:39:08,440 --> 00:39:11,320 Speaker 2: He said yeah, yeah please, sure, yeah, I get you 618 00:39:11,360 --> 00:39:11,960 Speaker 2: a picture. 619 00:39:12,040 --> 00:39:14,879 Speaker 3: Yeah. So Pras said, okay, I will try to help 620 00:39:14,920 --> 00:39:18,480 Speaker 3: you out. And then he got some money from Low 621 00:39:18,640 --> 00:39:24,080 Speaker 3: and then he paid for associates of his to go 622 00:39:24,120 --> 00:39:27,040 Speaker 3: to fundraising events. And he said, I didn't know that 623 00:39:27,200 --> 00:39:31,000 Speaker 3: was illegal, which honestly, it kind of makes sense. It 624 00:39:31,040 --> 00:39:33,279 Speaker 3: does sound legitimate, you know, it doesn't sound like he's 625 00:39:33,320 --> 00:39:37,520 Speaker 3: doing a Monty Burn's steeple of the fingers and saying, yes, 626 00:39:37,840 --> 00:39:41,520 Speaker 3: here's how we can get around these weirdly specific laws 627 00:39:41,600 --> 00:39:45,880 Speaker 3: about money and diplomacy. He's just like, all right, I 628 00:39:46,040 --> 00:39:51,239 Speaker 3: like money, you know, shout out idiocracy. And and so 629 00:39:51,840 --> 00:39:58,560 Speaker 3: this relationship continues across administrations. Right, the Trump administration comes 630 00:39:58,600 --> 00:40:02,080 Speaker 3: into power, and Prose is still working with this guy. 631 00:40:02,120 --> 00:40:05,799 Speaker 3: He's getting millions of dollars. And now it's getting a 632 00:40:05,960 --> 00:40:11,040 Speaker 3: little bit passed the point of plausible deniability, right, it's 633 00:40:11,040 --> 00:40:14,680 Speaker 3: getting past the point of whoops or oops, I did 634 00:40:14,719 --> 00:40:17,400 Speaker 3: it again. Britney Spears did not testify it as far 635 00:40:17,440 --> 00:40:20,879 Speaker 3: as I know, But okay, So he under the Trump 636 00:40:20,920 --> 00:40:27,040 Speaker 3: administration low pays Prose millions of dollars to try to 637 00:40:27,160 --> 00:40:32,520 Speaker 3: stop a investigation. This is a DOJ investigation into money 638 00:40:32,560 --> 00:40:36,600 Speaker 3: laundering and bribery. And this is what we had mentioned before, Matt, 639 00:40:36,640 --> 00:40:39,719 Speaker 3: what we were talking about, right, the Malaysian State Investment 640 00:40:39,760 --> 00:40:47,319 Speaker 3: Fund one MDB. This scheme took billions, not millions, billions 641 00:40:47,360 --> 00:40:51,279 Speaker 3: of dollars, and Prose was somehow wrapped up in it. 642 00:40:52,160 --> 00:40:57,040 Speaker 3: He was apparently paid to try to get the US 643 00:40:57,120 --> 00:41:01,759 Speaker 3: to extradite someone who is critical of the government of 644 00:41:01,880 --> 00:41:06,919 Speaker 3: China to China, which is beyond the balance of Oh, 645 00:41:06,960 --> 00:41:09,640 Speaker 3: I thought we were just making movies and getting photographs. 646 00:41:10,040 --> 00:41:14,279 Speaker 3: That one, at least that one you knew. You had 647 00:41:14,320 --> 00:41:19,239 Speaker 3: to know, dude. This this prompts a larger conversation. I 648 00:41:19,280 --> 00:41:21,560 Speaker 3: know we're going to wrap up pretty soon, but I 649 00:41:21,680 --> 00:41:25,239 Speaker 3: have to ask you, guys, what do you think is 650 00:41:25,360 --> 00:41:27,959 Speaker 3: going on? What's in the wind here? What's the lay 651 00:41:28,200 --> 00:41:33,719 Speaker 3: of the land. It is somewhat extraordinary for this many. 652 00:41:33,840 --> 00:41:37,399 Speaker 3: I mean, it's fun to talk about weird stories with celebrities, right, 653 00:41:37,480 --> 00:41:40,800 Speaker 3: people like that, But why are so many spies getting 654 00:41:40,800 --> 00:41:43,799 Speaker 3: the boot? Now? Why the acceleration. 655 00:41:44,080 --> 00:41:48,400 Speaker 4: Optics, you know, the whole thing with the spy balloon, 656 00:41:48,640 --> 00:41:51,399 Speaker 4: and just like some of the news swirling around it, 657 00:41:51,440 --> 00:41:55,520 Speaker 4: and just so many, i mean stories coming out like 658 00:41:55,560 --> 00:41:57,680 Speaker 4: they're just kind of maybe cleaning house a little bit 659 00:41:57,719 --> 00:41:59,759 Speaker 4: and needed some fall guy. And who better, what better 660 00:42:00,520 --> 00:42:03,360 Speaker 4: than like a celebrity who was kind of just stumbled 661 00:42:03,360 --> 00:42:05,800 Speaker 4: his way into a problem like this. You know, I 662 00:42:05,880 --> 00:42:08,920 Speaker 4: don't know, pr I don't I don't know, I don't know. 663 00:42:09,040 --> 00:42:10,759 Speaker 2: Maybe I don't know. I don't want to be doing 664 00:42:10,760 --> 00:42:14,880 Speaker 2: gloom in my opinion. It's it's early waves of a 665 00:42:14,960 --> 00:42:19,000 Speaker 2: much bigger thing that's on the way, which is a 666 00:42:19,280 --> 00:42:23,800 Speaker 2: global conflict, new superpowers emerging and fighting against the current. Hegemont. 667 00:42:23,960 --> 00:42:28,279 Speaker 2: I don't know, that's just my that's my spider sense. 668 00:42:28,080 --> 00:42:30,759 Speaker 4: Hot take for Maddie's two hands at both hands. 669 00:42:30,800 --> 00:42:32,560 Speaker 3: I thought I was hoping you were going to say 670 00:42:32,600 --> 00:42:35,560 Speaker 3: early waves for a new Fuji's album. Yeah, that's it, 671 00:42:35,640 --> 00:42:37,600 Speaker 3: But I guess yeah happened. 672 00:42:37,920 --> 00:42:41,000 Speaker 2: Also, one called that kinda they tried to do and 673 00:42:41,040 --> 00:42:43,120 Speaker 2: then it kind of died. They were going to have 674 00:42:43,160 --> 00:42:48,360 Speaker 2: a concert in They're getting together. They did one concert 675 00:42:48,440 --> 00:42:49,200 Speaker 2: and then it was over. 676 00:42:50,360 --> 00:42:54,040 Speaker 3: Yeah. Yeah, I mean it's tough. It's tough to be 677 00:42:54,120 --> 00:42:57,560 Speaker 3: working musicians and wish them the best, of course, chase 678 00:42:57,600 --> 00:43:00,279 Speaker 3: your dreams in all things. But I do know what 679 00:43:00,320 --> 00:43:05,760 Speaker 3: you're saying there, guys, like the idea of a change 680 00:43:05,840 --> 00:43:11,399 Speaker 3: in the so called global order seems in the works. Right. 681 00:43:11,480 --> 00:43:16,960 Speaker 3: The Brick countries, it's the street name for Brazil, Russia, India, China. 682 00:43:17,040 --> 00:43:20,160 Speaker 3: The Brick countries are talking about making their own currency. 683 00:43:21,200 --> 00:43:23,759 Speaker 3: We know it does all go. It often goes back 684 00:43:23,800 --> 00:43:27,560 Speaker 3: to the ownership of currency. Right. The US petro dollar 685 00:43:28,280 --> 00:43:35,080 Speaker 3: is increasingly less competitive than it was. And if you 686 00:43:35,120 --> 00:43:38,560 Speaker 3: want to, I mean this changes, this attempt at change 687 00:43:38,600 --> 00:43:42,800 Speaker 3: is kind of a continual thing. Like it still reminds 688 00:43:42,840 --> 00:43:46,160 Speaker 3: me of the real reason that the Goaddafi regime was 689 00:43:46,200 --> 00:43:50,440 Speaker 3: overthrown in Libya. It's not it wasn't for human rights 690 00:43:51,040 --> 00:43:54,720 Speaker 3: because he had been a monster there for quite some time. Instead, 691 00:43:54,760 --> 00:43:58,320 Speaker 3: he wanted to start a currency, kind of an African 692 00:43:58,400 --> 00:44:02,839 Speaker 3: continent's answer to the euro and France said no. So 693 00:44:03,120 --> 00:44:06,799 Speaker 3: there's always a hidden hand here, there's something deeper when 694 00:44:06,840 --> 00:44:11,600 Speaker 3: you when we hear these stories, we have to be careful. 695 00:44:13,040 --> 00:44:16,319 Speaker 3: We have to treat it like watching stage magicians, right, 696 00:44:16,840 --> 00:44:18,879 Speaker 3: don't look at the hand they want you to look at. 697 00:44:19,560 --> 00:44:22,200 Speaker 3: Look at the hand you're not supposed to see. And 698 00:44:22,680 --> 00:44:26,239 Speaker 3: with this, good luck to anybody out there in the 699 00:44:26,239 --> 00:44:30,760 Speaker 3: cold as we record. Be careful, maybe consider a different 700 00:44:30,800 --> 00:44:34,239 Speaker 3: career and let us know your stories. What do you 701 00:44:34,280 --> 00:44:41,680 Speaker 3: think about Matt's statement regarding the fluid, dynamic nature of 702 00:44:41,719 --> 00:44:45,400 Speaker 3: the geopolitical order There are conspiracies of plenty in there. 703 00:44:45,800 --> 00:44:48,200 Speaker 3: What do you think about chat GPT. What do you 704 00:44:48,239 --> 00:44:53,239 Speaker 3: think about the future of synthetic intelligence. I don't know 705 00:44:53,400 --> 00:44:58,640 Speaker 3: of non human intelligence, and what's the most powerful experience 706 00:44:58,680 --> 00:44:59,960 Speaker 3: you've had at a live show? 707 00:45:00,640 --> 00:45:01,160 Speaker 4: Let us know. 708 00:45:02,080 --> 00:45:04,680 Speaker 3: Shout out to Dan from Destroyer if he's hearing this. 709 00:45:05,320 --> 00:45:08,600 Speaker 3: And we try to be easy to find online. That's right. 710 00:45:08,640 --> 00:45:11,640 Speaker 4: You can find us on the usual social media channels 711 00:45:11,680 --> 00:45:15,360 Speaker 4: of note where we are conspiracy stuff on YouTube, Twitter 712 00:45:15,440 --> 00:45:18,680 Speaker 4: and Facebook, Conspiracy Stuff show on Instagram. 713 00:45:18,840 --> 00:45:21,439 Speaker 2: Pick up your phone and call say it with us. 714 00:45:21,760 --> 00:45:28,279 Speaker 2: One eight three three s t d wy TDK. Hope 715 00:45:28,320 --> 00:45:32,160 Speaker 2: you did that, Cadet, I mean you say you do so, Cadet. 716 00:45:32,160 --> 00:45:35,240 Speaker 2: I hope you said that out loud. Call that number 717 00:45:35,320 --> 00:45:37,640 Speaker 2: and leave us a voicemail. You've got three minutes. Give 718 00:45:37,719 --> 00:45:39,880 Speaker 2: us a cool nickname, whatever it is, as long as 719 00:45:40,000 --> 00:45:43,400 Speaker 2: this not your government name. Let us know if you 720 00:45:43,440 --> 00:45:46,439 Speaker 2: can use your message and name on the air. And 721 00:45:46,680 --> 00:45:48,640 Speaker 2: that's really all you gotta do. If you got more 722 00:45:48,680 --> 00:45:50,480 Speaker 2: to say than can fit in three minutes, why not 723 00:45:50,560 --> 00:45:52,960 Speaker 2: instead send us a good old fashioned email. 724 00:45:53,160 --> 00:46:14,920 Speaker 3: We are conspiracy at iHeartRadio dot com. 725 00:46:15,080 --> 00:46:17,160 Speaker 2: Stuff they don't want you to know is a production 726 00:46:17,239 --> 00:46:21,800 Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 727 00:46:21,880 --> 00:46:24,720 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.