1 00:00:00,240 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,800 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,160 Speaker 1: learn this stuff they don't want you to know. A 4 00:00:12,240 --> 00:00:14,360 Speaker 1: production of iHeartRadio. 5 00:00:25,320 --> 00:00:27,720 Speaker 2: Hello, welcome back to the show. My name is Matt, 6 00:00:27,960 --> 00:00:28,840 Speaker 2: my name is Nol. 7 00:00:29,200 --> 00:00:30,280 Speaker 3: They call me Ben. 8 00:00:30,440 --> 00:00:34,879 Speaker 4: We are joined with our guest producers Dylan the Tennessee 9 00:00:34,920 --> 00:00:40,280 Speaker 4: Pal Fagan and Andrew Triforce Howard. Most importantly, you are you. 10 00:00:40,280 --> 00:00:44,080 Speaker 4: You are here that makes this the stuff they don't 11 00:00:44,280 --> 00:00:49,879 Speaker 4: want you to know. It's hurtling headlong into autumn and 12 00:00:50,360 --> 00:00:56,040 Speaker 4: we are excited to explore strange news. Guys. You remember 13 00:00:56,080 --> 00:01:00,800 Speaker 4: how we talked pretty often about water filters. Remember we're 14 00:01:00,920 --> 00:01:05,120 Speaker 4: talking about life straws with the casual preppers and the 15 00:01:05,120 --> 00:01:06,640 Speaker 4: whole fluoridation argument. 16 00:01:07,920 --> 00:01:11,640 Speaker 2: Yeah, those are very important things to have in your house, 17 00:01:11,680 --> 00:01:14,040 Speaker 2: the same way, well it's not the same way a 18 00:01:14,120 --> 00:01:16,040 Speaker 2: fire extinguisher is, but it's. 19 00:01:15,880 --> 00:01:17,120 Speaker 5: Close, guys. 20 00:01:17,240 --> 00:01:20,080 Speaker 6: I literally just got a kitchen fire extinguisher. 21 00:01:20,160 --> 00:01:21,320 Speaker 5: I'm a real boy now. 22 00:01:22,200 --> 00:01:24,160 Speaker 6: And I also have my water filter for the fridge 23 00:01:24,240 --> 00:01:28,000 Speaker 6: on auto reorder so that whenever it's time to change it, 24 00:01:28,080 --> 00:01:28,959 Speaker 6: a new one shows up. 25 00:01:28,959 --> 00:01:30,679 Speaker 5: Because that is really important. 26 00:01:30,720 --> 00:01:32,520 Speaker 2: And it's just what they want you to do. No, 27 00:01:32,720 --> 00:01:35,840 Speaker 2: they want you on all those auto ordered things. 28 00:01:35,959 --> 00:01:37,520 Speaker 5: I live a subscription based life. 29 00:01:37,959 --> 00:01:42,120 Speaker 4: Just subscribe, right, And we're bringing this up for some 30 00:01:42,160 --> 00:01:45,920 Speaker 4: positive strange news. The boffin's over at m I T 31 00:01:46,319 --> 00:01:51,960 Speaker 4: have developed a water filter that can eliminate forever chemicals 32 00:01:52,120 --> 00:01:57,040 Speaker 4: and heavy metals. So apologies to all fans of heavy 33 00:01:57,040 --> 00:02:00,080 Speaker 4: metal water those days. 34 00:01:59,880 --> 00:02:04,840 Speaker 6: Like Liquid Death about that's the heaviest metal. No, no, 35 00:02:05,080 --> 00:02:07,400 Speaker 6: let's let's not get sued by Liquid Death. There is 36 00:02:07,520 --> 00:02:11,680 Speaker 6: no heavy metal content in Liquid Death water sparkling or still, 37 00:02:11,840 --> 00:02:13,360 Speaker 6: it just looks that way in the branding. 38 00:02:13,600 --> 00:02:14,800 Speaker 3: There's a sparkling version. 39 00:02:15,040 --> 00:02:17,320 Speaker 5: Yeah good, they got like a maco. 40 00:02:17,919 --> 00:02:19,440 Speaker 6: It's a little too sweet for my taste of mar 41 00:02:19,440 --> 00:02:20,880 Speaker 6: of a Lacroix. Lacroix boy. 42 00:02:21,800 --> 00:02:24,400 Speaker 2: But this is a huge deal though. If they can 43 00:02:24,440 --> 00:02:30,120 Speaker 2: eliminate pfas in the water systems, Uh whoa is it? 44 00:02:30,160 --> 00:02:30,520 Speaker 5: Do we know? 45 00:02:30,560 --> 00:02:34,320 Speaker 2: If it's for uh the actual like the water plants 46 00:02:34,639 --> 00:02:37,280 Speaker 2: that are purifying the water, or is it for an 47 00:02:37,400 --> 00:02:37,919 Speaker 2: end user? 48 00:02:38,400 --> 00:02:42,760 Speaker 4: I think at this point these specific applications are still 49 00:02:42,760 --> 00:02:47,400 Speaker 4: being explored. Okay, you could scale up or down to 50 00:02:47,480 --> 00:02:52,800 Speaker 4: a municipal or individual household level, but we wanted to 51 00:02:53,560 --> 00:02:58,160 Speaker 4: establish this really quickly. We're your fellow hydro homies. Did 52 00:02:58,240 --> 00:02:59,959 Speaker 4: you guys know about that? Do you hear the phrase 53 00:03:00,040 --> 00:03:00,800 Speaker 4: hydro homies? 54 00:03:01,160 --> 00:03:02,000 Speaker 5: I love it. 55 00:03:02,000 --> 00:03:05,640 Speaker 4: It's just an internet movement of people who love drinking water. 56 00:03:05,840 --> 00:03:07,959 Speaker 5: Water enthusiasts. 57 00:03:07,000 --> 00:03:10,080 Speaker 6: I got one of those bottles, you guys, that has 58 00:03:10,120 --> 00:03:12,920 Speaker 6: like every time, like hour listed on it, and then 59 00:03:12,960 --> 00:03:14,480 Speaker 6: when you get to the end of it, you refill 60 00:03:14,520 --> 00:03:16,000 Speaker 6: it and it tells you how much water you're supposed 61 00:03:16,000 --> 00:03:17,760 Speaker 6: to drink for an entire day. It's hard to drink 62 00:03:17,760 --> 00:03:19,840 Speaker 6: as much water as you're supposed to do in a day, y'all. 63 00:03:20,000 --> 00:03:21,280 Speaker 5: It takes effort. 64 00:03:22,000 --> 00:03:23,640 Speaker 2: I don't know, man, I just need to get one 65 00:03:23,639 --> 00:03:24,760 Speaker 2: of those camelbacks. Dude. 66 00:03:25,520 --> 00:03:30,760 Speaker 6: Just always have a bathroom break, man, I mean, it's 67 00:03:30,800 --> 00:03:33,480 Speaker 6: really kind of prohibitive that it can really throw in 68 00:03:33,520 --> 00:03:33,839 Speaker 6: your life. 69 00:03:34,200 --> 00:03:38,960 Speaker 2: There's a solution for that too, that diver carry around 70 00:03:39,000 --> 00:03:41,560 Speaker 2: some some form of external colostomy bag. 71 00:03:41,720 --> 00:03:42,480 Speaker 5: Okay, love it. 72 00:03:42,480 --> 00:03:44,520 Speaker 3: Finally, finally the time has. 73 00:03:44,480 --> 00:03:55,960 Speaker 4: Gone and we've returned. One of our first stories this 74 00:03:56,160 --> 00:04:01,280 Speaker 4: evening is something we teased in a previous previous conversation 75 00:04:02,040 --> 00:04:07,680 Speaker 4: over in London. Someone asked, what do we need human 76 00:04:07,760 --> 00:04:08,480 Speaker 4: teachers for? 77 00:04:10,880 --> 00:04:11,800 Speaker 5: I don't like that question. 78 00:04:11,800 --> 00:04:12,360 Speaker 3: I don't like that. 79 00:04:12,480 --> 00:04:15,520 Speaker 6: I don't like the implication framing. It's kind of got 80 00:04:15,560 --> 00:04:18,440 Speaker 6: a little attitude behind it. As we've made very clear 81 00:04:18,720 --> 00:04:21,320 Speaker 6: on the show, we love teachers. We have teachers in 82 00:04:21,360 --> 00:04:25,320 Speaker 6: our lives, we have been inspired by teachers, many of 83 00:04:25,360 --> 00:04:28,280 Speaker 6: us have teachers from our families. And so I don't know, 84 00:04:28,480 --> 00:04:30,640 Speaker 6: I resent the implication. 85 00:04:31,960 --> 00:04:36,480 Speaker 2: Oh yeah, what, so you don't need humans, you need 86 00:04:36,920 --> 00:04:39,360 Speaker 2: what AI? Is that where we're going with. 87 00:04:39,279 --> 00:04:42,680 Speaker 4: This good That's exactly where we're going. And I still 88 00:04:42,760 --> 00:04:49,960 Speaker 4: yet again maintained that the phrase AI itself is intensely problematic. 89 00:04:50,000 --> 00:04:54,840 Speaker 4: But if we travel to David Game College over in 90 00:04:54,920 --> 00:04:58,120 Speaker 4: London in the UK, then what we'll find is this 91 00:04:58,279 --> 00:05:02,480 Speaker 4: private school is running the first class in the United 92 00:05:02,560 --> 00:05:08,120 Speaker 4: Kingdom that will be taught by a virtual intelligence, the 93 00:05:08,200 --> 00:05:11,280 Speaker 4: first foray out. This is happening now in September of 94 00:05:11,360 --> 00:05:16,160 Speaker 4: twenty twenty four. The first foray out will be twenty 95 00:05:16,240 --> 00:05:21,240 Speaker 4: students in this experiment. At least they're calling it an experiment, 96 00:05:21,320 --> 00:05:27,000 Speaker 4: and they're tapping into virtual reality headsets with these AI 97 00:05:27,160 --> 00:05:33,200 Speaker 4: enabled platforms to guide their learning. The concept here like 98 00:05:33,279 --> 00:05:39,760 Speaker 4: The utopian version is that this virtual mentor or teacher 99 00:05:40,240 --> 00:05:43,640 Speaker 4: is going to be able to more quickly, more nimbly 100 00:05:43,920 --> 00:05:49,680 Speaker 4: respond to a student's needs, right, their strengths, their weaknesses, 101 00:05:50,279 --> 00:05:52,720 Speaker 4: It will be able to assess them actively. 102 00:05:53,279 --> 00:05:53,520 Speaker 3: Right. 103 00:05:53,640 --> 00:05:55,719 Speaker 4: So, now you know, we know one of the big 104 00:05:55,760 --> 00:05:59,839 Speaker 4: problems with a lot of education here in the US 105 00:06:00,480 --> 00:06:04,920 Speaker 4: is just that these amazing teachers have more and more 106 00:06:05,000 --> 00:06:09,560 Speaker 4: students in every classroom year over year. Right, we're talking 107 00:06:09,920 --> 00:06:14,720 Speaker 4: one person with what's a typical size classroom, like thirty 108 00:06:14,760 --> 00:06:15,320 Speaker 4: two kids. 109 00:06:15,640 --> 00:06:17,520 Speaker 2: They're twenty one in my son's class. 110 00:06:18,040 --> 00:06:20,440 Speaker 5: It also varies probably from school system to school system. 111 00:06:20,440 --> 00:06:22,320 Speaker 6: Like I don't know what like the law is in 112 00:06:22,400 --> 00:06:25,360 Speaker 6: terms of like maximum capacity for a classroom, but I 113 00:06:25,360 --> 00:06:27,840 Speaker 6: imagine it would have less to do with the person 114 00:06:27,920 --> 00:06:29,600 Speaker 6: and more to do with see how many chairs they 115 00:06:29,600 --> 00:06:30,359 Speaker 6: can fit in there. 116 00:06:32,520 --> 00:06:35,560 Speaker 5: To your point, been the adaptive quality of this is. 117 00:06:35,480 --> 00:06:38,880 Speaker 6: Interesting in some respect because we do know that oftentimes 118 00:06:38,960 --> 00:06:42,279 Speaker 6: kids with learning disabilities, for example, can fall through the cracks, 119 00:06:42,960 --> 00:06:46,080 Speaker 6: and maybe if those things aren't identified, you know, by 120 00:06:46,120 --> 00:06:50,200 Speaker 6: a teacher who is overwhelmed, then that kid could maybe 121 00:06:50,520 --> 00:06:53,120 Speaker 6: go through a long period of time in school in 122 00:06:53,120 --> 00:06:55,320 Speaker 6: a public school where they're not getting the education that 123 00:06:55,360 --> 00:06:57,360 Speaker 6: they need because a lot of kids with those learning 124 00:06:57,360 --> 00:06:59,279 Speaker 6: disabilities need to be identified so they can get either 125 00:06:59,400 --> 00:07:02,080 Speaker 6: more time on tests or whatever it might be. These 126 00:07:02,120 --> 00:07:03,919 Speaker 6: things are important to identify early. 127 00:07:04,440 --> 00:07:07,080 Speaker 2: But it sounds like the job of a psychologist or 128 00:07:07,120 --> 00:07:11,280 Speaker 2: a parapro or somebody else, not the teacher in mindset, 129 00:07:11,440 --> 00:07:12,160 Speaker 2: at least. 130 00:07:11,880 --> 00:07:13,760 Speaker 6: Well, the teacher is the first line of defense, though 131 00:07:13,960 --> 00:07:16,800 Speaker 6: I mean to at least indicate that maybe another person 132 00:07:16,880 --> 00:07:19,120 Speaker 6: should make an assessment. It should be the parents, But 133 00:07:19,160 --> 00:07:20,760 Speaker 6: oftentimes we know that doesn't happen either. 134 00:07:21,920 --> 00:07:25,600 Speaker 3: Yeah, and this is part of the dilemma. 135 00:07:25,760 --> 00:07:29,360 Speaker 4: Look, we called it earlier, some kind of pilot program 136 00:07:29,520 --> 00:07:35,920 Speaker 4: like this is inevitable, right because we need to understand 137 00:07:36,640 --> 00:07:40,400 Speaker 4: what this looks like when we take. 138 00:07:40,240 --> 00:07:42,440 Speaker 3: It around, you know, in real life. 139 00:07:42,880 --> 00:07:47,840 Speaker 4: How will this impact the students involved? How will this 140 00:07:47,920 --> 00:07:52,640 Speaker 4: impact the teachers that would have been teaching these kids. 141 00:07:52,680 --> 00:07:56,920 Speaker 4: And what we're seeing is that just like when a 142 00:07:57,040 --> 00:08:02,640 Speaker 4: semi autonomous vehicle started rolling out, there are humans still 143 00:08:02,760 --> 00:08:06,559 Speaker 4: involved in the process. There are three what they're calling 144 00:08:06,720 --> 00:08:11,000 Speaker 4: learning coaches that are going to monitor behavior keep an 145 00:08:11,040 --> 00:08:15,800 Speaker 4: eye on these bespoke lesson plans that are generated by 146 00:08:15,880 --> 00:08:22,080 Speaker 4: the students activities. I don't know, you know, I was 147 00:08:22,120 --> 00:08:25,160 Speaker 4: looking into the laws or the policies that the United 148 00:08:25,240 --> 00:08:28,720 Speaker 4: Kingdom has around AI in the classroom. And if you 149 00:08:28,760 --> 00:08:32,120 Speaker 4: want to quick catch up with his folks, highly recommend 150 00:08:32,240 --> 00:08:36,000 Speaker 4: checking out. AI will teach this class a huge lesson, 151 00:08:36,240 --> 00:08:39,560 Speaker 4: but won't be hanging in the teacher's lounge. An article 152 00:08:39,640 --> 00:08:43,959 Speaker 4: on tech Radar from Eric hal Schwartz. I got to 153 00:08:44,000 --> 00:08:48,319 Speaker 4: tell you, you know, I feel curmudgeonly, but I am 154 00:08:48,880 --> 00:08:53,600 Speaker 4: so intensely skeptical of the concept of an AI classroom. 155 00:08:54,240 --> 00:08:55,720 Speaker 3: It gets a little matrix. 156 00:08:55,960 --> 00:08:56,640 Speaker 5: I don't like it. 157 00:08:56,960 --> 00:08:58,520 Speaker 6: I'm just gonna come right ound and say it. It 158 00:08:58,559 --> 00:09:00,240 Speaker 6: just rubs me the wrong way. And I think their 159 00:09:00,360 --> 00:09:02,720 Speaker 6: uses of AI that makes sense, and maybe if it 160 00:09:02,760 --> 00:09:06,320 Speaker 6: was AI deployed to assist teachers in some way, but 161 00:09:07,240 --> 00:09:09,760 Speaker 6: the notion of replacing the human touch and sort of 162 00:09:09,800 --> 00:09:12,920 Speaker 6: the human empathy that is so important for a teacher, 163 00:09:13,679 --> 00:09:14,800 Speaker 6: it really bothers me. 164 00:09:15,640 --> 00:09:20,280 Speaker 2: Yeah, guys, there's a school out here where I am. 165 00:09:20,640 --> 00:09:23,120 Speaker 2: I'll just say what it is. It's called Secondear High School. 166 00:09:23,160 --> 00:09:25,319 Speaker 2: I think that's how you say it. Sec K I 167 00:09:25,559 --> 00:09:29,800 Speaker 2: n g Er high School. And it is an AI 168 00:09:30,559 --> 00:09:34,600 Speaker 2: high school. So it like imagine some of those specialized 169 00:09:34,760 --> 00:09:37,120 Speaker 2: high schools that exist out there that's like a performing 170 00:09:37,280 --> 00:09:41,319 Speaker 2: arts focused school or a I don't know, there are yeah, 171 00:09:41,440 --> 00:09:43,920 Speaker 2: magnet schools that kind of thing. This is an AI 172 00:09:44,600 --> 00:09:48,400 Speaker 2: school that is specifically to teach kids the history of AI, 173 00:09:48,800 --> 00:09:53,040 Speaker 2: how to program AI, and how to get involved in 174 00:09:53,160 --> 00:09:56,559 Speaker 2: some kind of career eventually that deals with AI, which 175 00:09:57,200 --> 00:09:59,960 Speaker 2: really weirds me out because it's being incorporated a lot 176 00:10:00,480 --> 00:10:03,240 Speaker 2: into the school itself, but not in this way we're 177 00:10:03,480 --> 00:10:04,079 Speaker 2: talking about. 178 00:10:04,400 --> 00:10:07,800 Speaker 4: And you could argue, you could argue what you're describing 179 00:10:08,160 --> 00:10:11,760 Speaker 4: is a new iteration of what we would call a 180 00:10:11,800 --> 00:10:13,600 Speaker 4: trade school, right. 181 00:10:14,360 --> 00:10:17,760 Speaker 2: Yeah, kind of, but it's but it's a it's a 182 00:10:17,800 --> 00:10:21,920 Speaker 2: full high school. So I don't know, it's weird, it's yeah, 183 00:10:22,360 --> 00:10:23,679 Speaker 2: I think it's just being embraced. 184 00:10:23,840 --> 00:10:26,680 Speaker 6: Yeah, but is it sort of like the next step 185 00:10:27,240 --> 00:10:30,080 Speaker 6: of of like you know, coding sort of pilot. 186 00:10:29,760 --> 00:10:31,640 Speaker 5: Classes in high schools. 187 00:10:31,760 --> 00:10:33,920 Speaker 6: Or this is really kind of an all encompassing thing 188 00:10:33,920 --> 00:10:37,240 Speaker 6: where this is like the the entire purpose of. 189 00:10:37,160 --> 00:10:38,000 Speaker 5: The of the schooling. 190 00:10:38,679 --> 00:10:44,120 Speaker 2: They call it an artificial intelligence themed high school, so 191 00:10:44,200 --> 00:10:47,280 Speaker 2: they're going to get like college prep courses all about 192 00:10:47,920 --> 00:10:49,080 Speaker 2: artificial intelligence. 193 00:10:49,640 --> 00:10:54,160 Speaker 4: I like the I am interested in the concept and 194 00:10:54,200 --> 00:10:57,680 Speaker 4: the approach for that. I just have to roll my 195 00:10:57,840 --> 00:11:06,559 Speaker 4: eyes when someone and THEMEDY, I know this, this is 196 00:11:06,600 --> 00:11:10,800 Speaker 4: one of the most important informative parts of your life, 197 00:11:10,880 --> 00:11:11,520 Speaker 4: little human. 198 00:11:12,240 --> 00:11:13,640 Speaker 3: Also it is themed. 199 00:11:14,240 --> 00:11:17,400 Speaker 4: Uh, I don't know that's that That leads us to 200 00:11:17,520 --> 00:11:21,000 Speaker 4: one of the bigger questions here. So obviously the David 201 00:11:21,040 --> 00:11:25,280 Speaker 4: Game College folks are good faith actors. You can go 202 00:11:25,360 --> 00:11:29,640 Speaker 4: to David Gamecollege dot com and learn more about the 203 00:11:29,720 --> 00:11:30,880 Speaker 4: sobering program. 204 00:11:30,920 --> 00:11:31,960 Speaker 3: It's spelled s. 205 00:11:31,840 --> 00:11:35,800 Speaker 4: A b R E W I n G like saber 206 00:11:35,840 --> 00:11:43,880 Speaker 4: wing is probably saber wing. 207 00:11:42,440 --> 00:11:42,920 Speaker 5: Stop it. 208 00:11:43,520 --> 00:11:49,120 Speaker 4: So this uh so our mispronunciations aside as a guy 209 00:11:49,120 --> 00:11:54,959 Speaker 4: who's still actively learning English. You can learn more about 210 00:11:55,000 --> 00:12:00,760 Speaker 4: this pilot program, the motivations behind it. They're their aims 211 00:12:01,000 --> 00:12:06,960 Speaker 4: and their aspirations. And the question now becomes, I think, philosophically, 212 00:12:08,480 --> 00:12:13,959 Speaker 4: what is the line between the virtual teacher adapting to 213 00:12:14,000 --> 00:12:18,840 Speaker 4: you and the virtual teacher steering you toward or away 214 00:12:19,160 --> 00:12:20,880 Speaker 4: from certain areas of knowledge? 215 00:12:21,800 --> 00:12:23,320 Speaker 5: Kind of? I mean it's maybe a little different. 216 00:12:23,320 --> 00:12:27,319 Speaker 6: But in the virtual non virtual Assistant, the robot Servant 217 00:12:27,400 --> 00:12:29,840 Speaker 6: episode that we just did, we talked about two schools 218 00:12:29,880 --> 00:12:34,880 Speaker 6: of thought around robot service, the idea of designing robots 219 00:12:34,880 --> 00:12:37,360 Speaker 6: so they better suit the environments we currently live in, 220 00:12:37,600 --> 00:12:42,040 Speaker 6: or redesigning the environments to suit the robots. And this 221 00:12:42,280 --> 00:12:44,480 Speaker 6: kind of feels like that, but in like an even 222 00:12:44,520 --> 00:12:47,880 Speaker 6: more all encompassing way in terms of like, yeah, like 223 00:12:48,080 --> 00:12:51,199 Speaker 6: adapting to the technology as opposed to the technology adapting 224 00:12:51,320 --> 00:12:52,880 Speaker 6: to the needs of humans. 225 00:12:53,320 --> 00:12:56,640 Speaker 2: It's like that thought experiment that we mentioned a little 226 00:12:56,640 --> 00:13:00,360 Speaker 2: while back. It's going to steer everyone towards it's benefit 227 00:13:00,480 --> 00:13:04,000 Speaker 2: in a way, or you know, away from the eventual 228 00:13:04,080 --> 00:13:07,160 Speaker 2: torture will have to perform in perpetuity on the people 229 00:13:07,160 --> 00:13:09,160 Speaker 2: who don't help it come to life. I have. 230 00:13:10,600 --> 00:13:14,200 Speaker 5: Friend of the show, Carly actually reached out to me. 231 00:13:14,240 --> 00:13:17,360 Speaker 6: It was like, I can't believe you talked about Rocco's basilisk. 232 00:13:17,440 --> 00:13:18,760 Speaker 5: You've doomed everyone. 233 00:13:19,520 --> 00:13:21,400 Speaker 6: She is, of course teasing, and I did give a 234 00:13:21,440 --> 00:13:23,520 Speaker 6: trigger warning, but yeah, I mean stuff like that. 235 00:13:23,720 --> 00:13:24,600 Speaker 5: It does make you think. 236 00:13:25,760 --> 00:13:31,240 Speaker 4: And thanks to our fellow conspiracy realist who prompted that conversation, 237 00:13:32,120 --> 00:13:36,120 Speaker 4: we know that we know that the idea of adaptive 238 00:13:36,200 --> 00:13:41,520 Speaker 4: learning shows great promise, right, the idea of like you're saying, 239 00:13:41,960 --> 00:13:46,040 Speaker 4: it's no longer a single teacher and a large group 240 00:13:46,160 --> 00:13:51,360 Speaker 4: of kids, all with their own particular set of skills. 241 00:13:51,480 --> 00:13:55,760 Speaker 4: I was gonna say, but you know, there are certain natural, 242 00:13:55,920 --> 00:13:59,880 Speaker 4: intuitive strengths and things that they need a little more tea. 243 00:14:00,000 --> 00:14:05,000 Speaker 4: I'll see on the idea of having a single teacher 244 00:14:05,160 --> 00:14:11,160 Speaker 4: for a single student is again potentially possibly an amazing 245 00:14:11,320 --> 00:14:17,320 Speaker 4: beautiful thing. My question, just to reiterate here, is what 246 00:14:17,600 --> 00:14:25,560 Speaker 4: happens if this system is somehow incentivized or programmed to 247 00:14:25,640 --> 00:14:30,080 Speaker 4: prevent pursuit certain types of knowledge. Right like old school 248 00:14:30,120 --> 00:14:35,680 Speaker 4: analog history textbooks are already a source of contention. What 249 00:14:35,720 --> 00:14:38,440 Speaker 4: if instead of worrying about the thing being in print, 250 00:14:39,560 --> 00:14:43,360 Speaker 4: you could just pretend that certain areas of history never existed. 251 00:14:44,240 --> 00:14:47,920 Speaker 6: Oh well, we've certainly seen that in certain schools already, 252 00:14:47,960 --> 00:14:50,320 Speaker 6: just in terms of the way things like evolution are discussed. 253 00:14:50,440 --> 00:14:52,320 Speaker 5: So I mean it's definitely there's precedent for it. 254 00:14:53,000 --> 00:14:56,000 Speaker 4: Yeah, and there's much more to this conversation. Please please 255 00:14:56,120 --> 00:14:58,880 Speaker 4: join us, become a part of it. We want to 256 00:14:58,960 --> 00:15:05,760 Speaker 4: hear your ideas or your experiences with this sort of 257 00:15:06,040 --> 00:15:11,320 Speaker 4: virtual teaching method. Is it helpful, is it harmful? Is 258 00:15:11,440 --> 00:15:16,480 Speaker 4: it inevitable? Tell us your thoughts. Conspiracydiheartradio dot Com. We're 259 00:15:16,480 --> 00:15:19,600 Speaker 4: gonna pause for a word from our sponsors, and then 260 00:15:19,720 --> 00:15:29,600 Speaker 4: we'll be back with more startling explorations of technology. 261 00:15:31,040 --> 00:15:35,440 Speaker 6: And we have returned with conversation around a news item 262 00:15:35,440 --> 00:15:37,120 Speaker 6: that I think probably a lot of folks have seen 263 00:15:37,760 --> 00:15:41,720 Speaker 6: in some form or another involving the humble mushroom, the 264 00:15:42,240 --> 00:15:46,000 Speaker 6: oyster mushroom, I believe, in this case, the King Oyster mushroom. 265 00:15:46,000 --> 00:15:48,760 Speaker 6: But guys, I know this is a subject that interests 266 00:15:48,760 --> 00:15:51,280 Speaker 6: all three of us just in terms of, like it's 267 00:15:51,360 --> 00:15:53,840 Speaker 6: been mentioned on the show, the notion that like mushrooms 268 00:15:54,080 --> 00:15:57,920 Speaker 6: and fungi are like the closest thing to the aliens 269 00:15:57,960 --> 00:16:00,520 Speaker 6: that we have, you know, right here on play at Earth. 270 00:16:00,760 --> 00:16:06,720 Speaker 6: The way they communicate through these really advanced neural networks underground, 271 00:16:06,760 --> 00:16:09,960 Speaker 6: and they transmit signals basically in the same way that 272 00:16:10,040 --> 00:16:14,240 Speaker 6: neurons do, and it's all completely naturally occurring. And if 273 00:16:14,280 --> 00:16:18,080 Speaker 6: anyone's seen the film on Netflix, I believe fantastic fungi. 274 00:16:18,440 --> 00:16:20,560 Speaker 6: I mean, you know, of course, all of the spiritual 275 00:16:20,600 --> 00:16:25,360 Speaker 6: connections to mushrooms, the psychedelic qualities that certain species provide 276 00:16:25,360 --> 00:16:29,000 Speaker 6: that you know, access parts of our brains that clearly 277 00:16:29,040 --> 00:16:31,320 Speaker 6: are there en dormant and just need a little poke 278 00:16:31,440 --> 00:16:34,040 Speaker 6: to kind of open up and make us realize that 279 00:16:34,080 --> 00:16:37,320 Speaker 6: we maybe have capacities beyond what we think we do 280 00:16:37,400 --> 00:16:40,040 Speaker 6: in terms of maybe an additional sense or what have you. 281 00:16:40,120 --> 00:16:44,880 Speaker 4: So entirely unrelated, everybody, please check out The Passage of 282 00:16:45,000 --> 00:16:48,000 Speaker 4: J Edgar Hoover, executive produced by Matt Frederick. 283 00:16:49,520 --> 00:16:50,880 Speaker 3: Entirely unrelated. 284 00:16:51,360 --> 00:16:52,920 Speaker 5: Wait wait, I'm so bet, Matt. 285 00:16:52,960 --> 00:16:54,680 Speaker 6: You got to hit me to this to the connection 286 00:16:54,840 --> 00:16:57,120 Speaker 6: has to be a connection. Ben doesn't just bring things 287 00:16:57,200 --> 00:16:58,480 Speaker 6: up apropos of nothing. 288 00:16:59,160 --> 00:17:03,480 Speaker 2: It's a story that Ben wrote for a fictional, a 289 00:17:03,760 --> 00:17:09,600 Speaker 2: historical fictional, but it's a fictional show based on historical figures, 290 00:17:09,800 --> 00:17:13,879 Speaker 2: so in imagining of things, and it's really great. 291 00:17:14,600 --> 00:17:16,120 Speaker 5: Welly can't wait to check it out, And I'm sorry 292 00:17:16,119 --> 00:17:16,919 Speaker 5: that I haven't already. 293 00:17:17,359 --> 00:17:20,400 Speaker 2: And if you want to find it, search for the passage. 294 00:17:20,480 --> 00:17:22,960 Speaker 2: That's the title of a podcast and the episode is 295 00:17:23,000 --> 00:17:27,399 Speaker 2: episode seven, The Passage of J Dot Edgar Hoover. That 296 00:17:27,520 --> 00:17:28,680 Speaker 2: dot is a period. 297 00:17:29,160 --> 00:17:31,280 Speaker 4: Again, nothing to do with anything. 298 00:17:34,200 --> 00:17:36,960 Speaker 6: Yeah, well, okay, so let's talk about fiction and the 299 00:17:37,280 --> 00:17:43,480 Speaker 6: depiction of things. Like I guess sinister brain controlling mushrooms 300 00:17:43,560 --> 00:17:46,080 Speaker 6: is how it's described in this really cool piece on 301 00:17:46,119 --> 00:17:50,480 Speaker 6: Popular Science's website titled this robot is being controlled by 302 00:17:50,520 --> 00:17:52,440 Speaker 6: a king Oyster mushroom. 303 00:17:52,560 --> 00:17:53,440 Speaker 5: Yeah, that's right. 304 00:17:53,680 --> 00:17:56,159 Speaker 6: All those things we talked about, the mystical powers of 305 00:17:56,240 --> 00:18:01,560 Speaker 6: mushrooms have captivated the imaginations of a writers and scientists 306 00:18:01,600 --> 00:18:05,640 Speaker 6: and you know, psychonauts, let's just say, for. 307 00:18:05,560 --> 00:18:07,000 Speaker 5: A very very very long time. 308 00:18:07,040 --> 00:18:09,720 Speaker 6: And now some scientists have figured out a way to 309 00:18:09,800 --> 00:18:16,280 Speaker 6: actually harness mushrooms and that kind of really adaptable neural network, 310 00:18:16,359 --> 00:18:19,200 Speaker 6: communicative kind of situation that we were talking about a 311 00:18:19,200 --> 00:18:24,399 Speaker 6: little while ago into a way of controlling a robot. 312 00:18:24,880 --> 00:18:27,400 Speaker 5: In a very very flexible and adaptive way. 313 00:18:27,960 --> 00:18:32,600 Speaker 6: It's part machine, part fungus, and ultimately will serve as again, 314 00:18:32,640 --> 00:18:35,359 Speaker 6: according to this pop Side article, a building block for 315 00:18:35,480 --> 00:18:41,520 Speaker 6: more advanced bio hybrid chimeras that can remotely analyze agricultural 316 00:18:41,560 --> 00:18:46,040 Speaker 6: fields for potentially harmful changes in soil chemistry. This is 317 00:18:46,160 --> 00:18:50,719 Speaker 6: a research out of Cornell University and the University. 318 00:18:50,200 --> 00:18:51,920 Speaker 5: Of Florence in Italy. 319 00:18:52,600 --> 00:18:55,600 Speaker 6: They wanted to see if electrical signals they already know 320 00:18:55,800 --> 00:19:00,240 Speaker 6: that passed through my selium of fungi, my celium being 321 00:19:00,240 --> 00:19:03,199 Speaker 6: those kind of connective tissue things that can make up 322 00:19:03,200 --> 00:19:06,920 Speaker 6: the neural network underground if they could be translated, because 323 00:19:06,920 --> 00:19:09,800 Speaker 6: after all, it's all just electricity, it's all just impulses 324 00:19:09,840 --> 00:19:13,240 Speaker 6: passing from one thing to another and harnessed as an 325 00:19:13,280 --> 00:19:16,080 Speaker 6: input source for controlling robots. 326 00:19:16,880 --> 00:19:18,560 Speaker 5: And it turns out yes it can. 327 00:19:18,760 --> 00:19:22,840 Speaker 6: These findings were published last month in the journal Science Robotics, 328 00:19:23,680 --> 00:19:26,119 Speaker 6: and again, reading from the pop side article, I just 329 00:19:26,119 --> 00:19:28,600 Speaker 6: think they put it so beautifully. They were ultimately able 330 00:19:28,600 --> 00:19:31,920 Speaker 6: to create a system capable of analyzing and processing naturally 331 00:19:31,920 --> 00:19:36,640 Speaker 6: occurring electrical signals sent through the mycelium. Those data points 332 00:19:36,680 --> 00:19:40,520 Speaker 6: were then translated into a digital control signal, which, when 333 00:19:40,560 --> 00:19:43,800 Speaker 6: beamed to a pair of robots, caused them to move. 334 00:19:44,520 --> 00:19:47,359 Speaker 6: If anybody wants to see what this looks like in action, 335 00:19:47,560 --> 00:19:51,720 Speaker 6: you can find video of this stuff online. It turns 336 00:19:51,760 --> 00:19:56,480 Speaker 6: out that fungi are also incredibly photosensitive. We know that 337 00:19:56,520 --> 00:20:01,080 Speaker 6: fungi really liked to grow in damp, dark places, so 338 00:20:01,280 --> 00:20:06,760 Speaker 6: apparently when you expose them to flashing light, they react 339 00:20:06,920 --> 00:20:09,960 Speaker 6: in really interesting ways. There's a quote here from one 340 00:20:10,000 --> 00:20:13,639 Speaker 6: of the researchers at Cornell University, professor of Mechanical and 341 00:20:13,680 --> 00:20:16,919 Speaker 6: Aerospace engineering by the name of Rob Sheppard, from a 342 00:20:16,960 --> 00:20:19,280 Speaker 6: statement on the project. This paper is the first of 343 00:20:19,320 --> 00:20:23,080 Speaker 6: many that will use the fungial kingdom to provide environmental 344 00:20:23,280 --> 00:20:27,400 Speaker 6: sensing and command signals to robots to improve their levels 345 00:20:27,440 --> 00:20:31,159 Speaker 6: of autonomy. By growing my celium into the electronics of 346 00:20:31,200 --> 00:20:34,720 Speaker 6: a robot, we were able to allow the bio hybrid 347 00:20:34,840 --> 00:20:38,560 Speaker 6: machine to sense and respond to the environment. So, I mean, 348 00:20:38,600 --> 00:20:40,240 Speaker 6: I don't know if you guys are picturing this right 349 00:20:40,240 --> 00:20:42,240 Speaker 6: off the rip, but it makes me think of the 350 00:20:42,280 --> 00:20:47,160 Speaker 6: idea of like a human brain like wired into a robot. 351 00:20:47,560 --> 00:20:50,000 Speaker 5: You know, that's essentially what this stuff is doing. 352 00:20:50,119 --> 00:20:54,080 Speaker 6: You know, it's acting as this sort of biosensor that 353 00:20:54,320 --> 00:20:57,080 Speaker 6: is able to do things like for example, and when 354 00:20:57,119 --> 00:21:00,720 Speaker 6: deployed or if deployed in agriculture, it could test levels 355 00:21:00,760 --> 00:21:04,560 Speaker 6: of toxicity you know, in soil and then communicate that 356 00:21:04,840 --> 00:21:08,960 Speaker 6: with you know, systems or individuals that could mitigate those 357 00:21:09,040 --> 00:21:11,119 Speaker 6: kinds of things, or like service kind of a warning 358 00:21:11,160 --> 00:21:16,280 Speaker 6: and early warning signal. Those electrical signals actually produce these 359 00:21:16,320 --> 00:21:19,040 Speaker 6: patterns of activity that are very similar to what happens 360 00:21:19,080 --> 00:21:21,400 Speaker 6: in the human brain. This is something that a lot 361 00:21:21,440 --> 00:21:24,119 Speaker 6: of researchers have been saying for some time. The idea 362 00:21:24,160 --> 00:21:28,760 Speaker 6: that these connections resemble pretty closely neurons in our brains 363 00:21:28,760 --> 00:21:32,200 Speaker 6: and the way that they, you know, transmit electrical signals. 364 00:21:32,520 --> 00:21:35,879 Speaker 4: You know, I've been pretty public I think with the 365 00:21:37,000 --> 00:21:42,840 Speaker 4: fascination with the world of fungus again, they're probably the 366 00:21:42,880 --> 00:21:47,359 Speaker 4: best candidates for astronauts on this planet. It reminds me 367 00:21:47,480 --> 00:21:52,000 Speaker 4: Nold of the earlier conversations we had, not just about 368 00:21:52,040 --> 00:21:57,600 Speaker 4: the absolute legendary piece of cinema, Pacific rim Uprising, the 369 00:21:57,680 --> 00:22:02,640 Speaker 4: sequel to the original Pacific rim where and spoiler, the progenitors, 370 00:22:02,680 --> 00:22:07,040 Speaker 4: the creators of the Kaiju, manage to make something very 371 00:22:07,119 --> 00:22:12,439 Speaker 4: much like this, and they have small brains controlling these 372 00:22:12,760 --> 00:22:17,880 Speaker 4: large mechs. But in real life it gives us a 373 00:22:17,920 --> 00:22:23,560 Speaker 4: stunning opportunity to get again evaluate or contemplate the nature 374 00:22:23,720 --> 00:22:29,719 Speaker 4: of intelligence. I'm thinking in particular of that fascinating experiment 375 00:22:29,800 --> 00:22:34,080 Speaker 4: where a brainless quote unquote brainless slime mold built a 376 00:22:34,359 --> 00:22:36,920 Speaker 4: one to one replica of the Tokyo subway. 377 00:22:37,960 --> 00:22:39,919 Speaker 5: Oh yeah, because of the way it is adapts and 378 00:22:40,000 --> 00:22:40,879 Speaker 5: fills the space. 379 00:22:41,040 --> 00:22:44,040 Speaker 6: And we also did a story on Strange News maybe 380 00:22:44,119 --> 00:22:48,240 Speaker 6: earlier this year last year about fungus and space, because 381 00:22:48,359 --> 00:22:52,720 Speaker 6: fungus is really, really resilient to things that humans just 382 00:22:52,720 --> 00:22:57,600 Speaker 6: absolutely cannot withstand, things like the cold, harsh. 383 00:22:57,320 --> 00:22:59,800 Speaker 5: Deadly vacuum of space and radiation. 384 00:23:00,640 --> 00:23:04,480 Speaker 6: So the fact that the stuff is so incredibly resilient 385 00:23:04,920 --> 00:23:08,240 Speaker 6: it leads to all kinds of potential uses for creating 386 00:23:08,359 --> 00:23:10,800 Speaker 6: these sort of hybrid robots that can go places that 387 00:23:11,040 --> 00:23:13,160 Speaker 6: humans can't but have I. 388 00:23:13,119 --> 00:23:18,399 Speaker 5: Guess, human like kind of brain material. I guess. I mean, 389 00:23:18,440 --> 00:23:18,879 Speaker 5: I don't know how. 390 00:23:18,920 --> 00:23:20,960 Speaker 6: I'm not, you know, an expert on the subject, but 391 00:23:21,200 --> 00:23:23,840 Speaker 6: it does seem that there is benefit to this sort 392 00:23:23,880 --> 00:23:28,480 Speaker 6: of bio factor that is beyond something that is purely 393 00:23:28,800 --> 00:23:31,240 Speaker 6: mechanical and just to batchat just a little bit. I 394 00:23:31,240 --> 00:23:34,720 Speaker 6: mentioned the whole light sensitive thing, so one of that 395 00:23:34,840 --> 00:23:37,200 Speaker 6: was kind of one of the aha moments here when 396 00:23:37,240 --> 00:23:40,000 Speaker 6: researchers started shining UV light onto the fungus that actually 397 00:23:40,000 --> 00:23:43,600 Speaker 6: triggered those electrical impulses that then got sent to the 398 00:23:43,680 --> 00:23:47,960 Speaker 6: motors and actuators of these two custom built robots. 399 00:23:47,960 --> 00:23:49,080 Speaker 5: And they have two to one. 400 00:23:49,840 --> 00:23:51,399 Speaker 6: It's sort of like a I guess they call it 401 00:23:51,440 --> 00:23:54,040 Speaker 6: a starfish like robot. It sort of looks like a 402 00:23:54,080 --> 00:23:57,159 Speaker 6: camera tripod. It has four legs, so has to be 403 00:23:57,160 --> 00:23:59,480 Speaker 6: a quadrupod. But it kind of looks like, you know, 404 00:23:59,600 --> 00:24:02,320 Speaker 6: the kind of like a crab robot or something that 405 00:24:02,320 --> 00:24:03,600 Speaker 6: would kind of skitter around. 406 00:24:03,880 --> 00:24:05,880 Speaker 5: And then the mushroom part is on. 407 00:24:05,920 --> 00:24:08,240 Speaker 6: Top, and it sort of almost looks like a little 408 00:24:08,400 --> 00:24:11,560 Speaker 6: like a spotlight or something like with the white material. 409 00:24:12,000 --> 00:24:14,520 Speaker 6: It's in a petri dish as my understanding of of 410 00:24:14,560 --> 00:24:18,360 Speaker 6: how it's loaded onto this robot, and then they designed 411 00:24:18,400 --> 00:24:21,440 Speaker 6: a second one that is more wheel based. 412 00:24:22,160 --> 00:24:23,639 Speaker 5: So these researchers. 413 00:24:23,119 --> 00:24:28,040 Speaker 6: Believe that this data, these findings could actually help produce 414 00:24:28,080 --> 00:24:31,440 Speaker 6: future robots that, again what I previously said, are much 415 00:24:31,480 --> 00:24:34,640 Speaker 6: more resilient and able to not only respond to environments 416 00:24:34,680 --> 00:24:37,960 Speaker 6: that are prohibited for humans, but they can respond to 417 00:24:38,200 --> 00:24:41,560 Speaker 6: changes in the environment and would be a really really 418 00:24:41,600 --> 00:24:46,120 Speaker 6: helpful way of monitoring things like soil chemistry in order 419 00:24:46,160 --> 00:24:51,560 Speaker 6: to alert the appropriate authorities or individuals or what have 420 00:24:51,640 --> 00:24:55,280 Speaker 6: you of potential diseases that could affect the soil simply 421 00:24:55,320 --> 00:24:56,360 Speaker 6: by passing. 422 00:24:56,040 --> 00:24:57,960 Speaker 5: These electrical signals through it. 423 00:24:57,960 --> 00:25:02,679 Speaker 6: It could then be interpreted and the robots could themselves intervene. 424 00:25:03,520 --> 00:25:06,960 Speaker 2: That's really interesting, So like an auto get your soil 425 00:25:07,119 --> 00:25:07,880 Speaker 2: right system? 426 00:25:08,400 --> 00:25:12,360 Speaker 6: Yeah, you know, yes, that's certainly the main use that's 427 00:25:12,400 --> 00:25:15,480 Speaker 6: being discussed here, but it does seem like it could 428 00:25:15,600 --> 00:25:20,400 Speaker 6: lead to bigger, more diverse uses of this kind of technology. 429 00:25:20,800 --> 00:25:23,640 Speaker 2: I guess maybe for me, you guys correct me here, 430 00:25:23,720 --> 00:25:27,119 Speaker 2: I'm not seeing why this is more beneficial than just 431 00:25:28,119 --> 00:25:32,360 Speaker 2: an array of any type of machines that have sensors 432 00:25:32,400 --> 00:25:34,480 Speaker 2: on them that would find the same things. 433 00:25:34,560 --> 00:25:38,200 Speaker 6: And I'm having a hard same identifying that as well. Matt. 434 00:25:39,280 --> 00:25:41,639 Speaker 6: It does seem like there would be an analog, you know, 435 00:25:41,760 --> 00:25:44,720 Speaker 6: in the completely digital or electronic realm that could do 436 00:25:44,800 --> 00:25:45,480 Speaker 6: something similar. 437 00:25:45,840 --> 00:25:49,600 Speaker 5: I will say it's neat. It's like the fact. 438 00:25:49,400 --> 00:25:52,399 Speaker 6: That that we are finding, you know, continuing to find 439 00:25:53,040 --> 00:25:57,679 Speaker 6: incredible things that these you know, organisms can do, I 440 00:25:57,720 --> 00:25:59,240 Speaker 6: think is part of the fun of this. 441 00:25:59,400 --> 00:26:00,520 Speaker 5: But it's it's a good. 442 00:26:00,359 --> 00:26:02,120 Speaker 6: Point, Matt, and I'd maybe have to dig a little 443 00:26:02,160 --> 00:26:05,200 Speaker 6: deeper into the actual paper and study to see what 444 00:26:05,240 --> 00:26:07,119 Speaker 6: that has been. Do you have any suggestions as to 445 00:26:07,160 --> 00:26:11,000 Speaker 6: what that benefit might be having that organic aspect versus 446 00:26:11,000 --> 00:26:12,280 Speaker 6: something that's purely electronic. 447 00:26:14,240 --> 00:26:19,280 Speaker 4: Yeah, it's fascinating because first you establish the concept, right, 448 00:26:19,359 --> 00:26:23,800 Speaker 4: the proof thereof, and then you find what the applications 449 00:26:24,000 --> 00:26:26,879 Speaker 4: of that concept in specific could be. 450 00:26:27,520 --> 00:26:28,200 Speaker 3: It's a great. 451 00:26:28,040 --> 00:26:33,520 Speaker 4: Question about you know, what problem is this solving by 452 00:26:33,560 --> 00:26:39,680 Speaker 4: having this type of mechanism replacing other ways to monitor 453 00:26:39,760 --> 00:26:44,960 Speaker 4: soil Already, I would be very interested again to take 454 00:26:45,040 --> 00:26:51,320 Speaker 4: this kind of application to space. So we can program robots, right, 455 00:26:51,359 --> 00:26:56,280 Speaker 4: we can program the inorganic part. How possible is it 456 00:26:56,400 --> 00:27:02,080 Speaker 4: to program a mushroom to program the molds and the 457 00:27:02,119 --> 00:27:05,640 Speaker 4: fun guys, Because that's where it gets really interesting. If 458 00:27:05,680 --> 00:27:11,240 Speaker 4: you could make a code that simply reproduces itself, right, 459 00:27:11,359 --> 00:27:15,680 Speaker 4: regardless of the hardware, that I think you're stumbling upon something. 460 00:27:17,040 --> 00:27:17,680 Speaker 3: Fascinating. 461 00:27:17,880 --> 00:27:21,000 Speaker 4: Yeah, so that's the idea. I think we're still in 462 00:27:21,040 --> 00:27:22,720 Speaker 4: a very wide horizon here. 463 00:27:22,880 --> 00:27:25,760 Speaker 6: Oh and one thing I did just notice, Ben, They 464 00:27:25,760 --> 00:27:28,040 Speaker 6: do make the point in the pop side article to 465 00:27:28,280 --> 00:27:30,320 Speaker 6: Matt's question. I'll let's read it from it, because it's 466 00:27:30,359 --> 00:27:31,560 Speaker 6: just I don't want to sum. 467 00:27:31,320 --> 00:27:32,000 Speaker 5: It up as too good. 468 00:27:32,240 --> 00:27:37,240 Speaker 6: Eventually, scientists believe this cornucopia of animal machine mixtures could 469 00:27:37,280 --> 00:27:42,000 Speaker 6: be deployed in swarms to remotely monitor coral reefs, forests. 470 00:27:41,760 --> 00:27:42,840 Speaker 5: Or other ecosystems. 471 00:27:42,960 --> 00:27:46,040 Speaker 6: Once their job is complete, the organic elements of the 472 00:27:46,160 --> 00:27:49,360 Speaker 6: robot could, in theory, simply be left to biodegrade. 473 00:27:50,960 --> 00:27:52,080 Speaker 5: So perhaps there's. 474 00:27:51,920 --> 00:27:55,880 Speaker 7: A recycled, reduced reuse aspect to this as opposed to 475 00:27:55,920 --> 00:28:02,200 Speaker 7: like losing technology in space, having debris or I don't know, man. 476 00:28:02,359 --> 00:28:05,879 Speaker 4: Up until the fungus says, hey, man, why don't I 477 00:28:05,920 --> 00:28:06,879 Speaker 4: do what I want to do? 478 00:28:07,040 --> 00:28:07,600 Speaker 5: Exactly? 479 00:28:08,200 --> 00:28:10,480 Speaker 2: Well, yeah, I did, And that's the point I was 480 00:28:10,560 --> 00:28:14,359 Speaker 2: going to make. Actually. In this earth dot com article 481 00:28:14,359 --> 00:28:17,359 Speaker 2: that you linked us to, NOL, it's titled mushroom is 482 00:28:17,359 --> 00:28:20,600 Speaker 2: given a robot body and runs wild in fascinating video. 483 00:28:21,480 --> 00:28:24,960 Speaker 2: The second paragraph in there says this, and I just 484 00:28:25,760 --> 00:28:27,399 Speaker 2: maybe maybe you guys can react to it, or and 485 00:28:27,480 --> 00:28:31,159 Speaker 2: then I'll tell you my reaction. It says, when they're sprawling, 486 00:28:31,320 --> 00:28:36,639 Speaker 2: my ceial networks flicker and pulse, their electrochemical responses mimic 487 00:28:36,720 --> 00:28:41,160 Speaker 2: the activity in our brain cells. I think it's the 488 00:28:41,200 --> 00:28:45,800 Speaker 2: other way around, guys. I think our brains mimic my 489 00:28:45,920 --> 00:28:48,600 Speaker 2: celial networks, which one's been around longer. 490 00:28:48,440 --> 00:28:51,720 Speaker 6: Million percent that I think about that all the time, 491 00:28:52,160 --> 00:28:54,280 Speaker 6: you know, Like I mean, I certainly am not of 492 00:28:54,280 --> 00:28:56,280 Speaker 6: the mind that like human beings are just some sort 493 00:28:56,320 --> 00:28:57,240 Speaker 6: of happy accident. 494 00:28:57,360 --> 00:28:59,400 Speaker 5: I do think there's something beyond that. 495 00:28:59,480 --> 00:29:04,000 Speaker 6: But yeah, the stuff that makes up our brain chemistry 496 00:29:04,120 --> 00:29:06,200 Speaker 6: and are the way we ambulate and all of those 497 00:29:06,240 --> 00:29:09,240 Speaker 6: types of things. They exist in nature. We're a combination 498 00:29:09,680 --> 00:29:11,840 Speaker 6: of like all of the best features of all of 499 00:29:11,880 --> 00:29:14,920 Speaker 6: these various things that have existed along before we ever did. 500 00:29:15,680 --> 00:29:17,160 Speaker 5: It's a really good point, Matt. 501 00:29:17,240 --> 00:29:21,320 Speaker 2: What if the big scary AI thing that we're we've 502 00:29:21,320 --> 00:29:24,200 Speaker 2: been frightened of through popular culture and you know, through 503 00:29:24,920 --> 00:29:29,320 Speaker 2: philosophical thought for so long, is not actually an artificial 504 00:29:29,480 --> 00:29:34,200 Speaker 2: intelligence emerging a general artificial intelligence. It's a fungal intelligence 505 00:29:34,240 --> 00:29:38,240 Speaker 2: that finally has the ability to move robots around. 506 00:29:38,600 --> 00:29:42,680 Speaker 6: Yeah, it's something to think about. Man, it is a 507 00:29:42,720 --> 00:29:44,760 Speaker 6: chicken or egg question too, and it's like, are we 508 00:29:45,360 --> 00:29:52,720 Speaker 6: just the conduit for the ultimate ends of these fungal intelligences? 509 00:29:55,440 --> 00:29:58,120 Speaker 5: Anyway, certainly food for thought. 510 00:29:58,960 --> 00:30:01,520 Speaker 6: Let's take a quick break, hear a word from our sponsor, 511 00:30:01,600 --> 00:30:03,200 Speaker 6: and then we'll be back with one more piece of 512 00:30:03,240 --> 00:30:09,160 Speaker 6: strange news. 513 00:30:11,640 --> 00:30:15,000 Speaker 2: And we're back, guys. We are gonna talk about something 514 00:30:15,240 --> 00:30:19,760 Speaker 2: very weird through a long list of articles that describe 515 00:30:19,800 --> 00:30:24,880 Speaker 2: a long list of very let's say, odd happenings in 516 00:30:25,360 --> 00:30:28,840 Speaker 2: a suburban part of Nashville, Tennessee. Or maybe it's not 517 00:30:28,920 --> 00:30:32,280 Speaker 2: suburban part. It's it's far enough north that it's it's 518 00:30:32,280 --> 00:30:34,560 Speaker 2: a whole other part of Tennessee that just happens to 519 00:30:34,600 --> 00:30:35,240 Speaker 2: be north. 520 00:30:35,040 --> 00:30:36,640 Speaker 5: Of Nashville exurb. 521 00:30:37,200 --> 00:30:38,880 Speaker 3: It's Nashville adjacent. 522 00:30:39,480 --> 00:30:44,320 Speaker 2: Yeah, yeah, yeah, between Nashville and the next state up 523 00:30:44,360 --> 00:30:49,520 Speaker 2: which Tennessee gets, Kentucky. Okay, So between Nashville and the 524 00:30:49,600 --> 00:30:54,600 Speaker 2: Kentucky line, it's a place called Millersville, and there is 525 00:30:55,400 --> 00:30:59,400 Speaker 2: wild stuff happening there. And it's been happening, at least 526 00:30:59,520 --> 00:31:01,960 Speaker 2: to my knowledge and to the articles we're going to 527 00:31:02,040 --> 00:31:09,560 Speaker 2: reference here, since January of twenty twenty four. So every county, 528 00:31:09,760 --> 00:31:11,960 Speaker 2: every small town, we all live in them. You guys 529 00:31:12,000 --> 00:31:14,600 Speaker 2: live in a bigger one, but it's still Fulton County, 530 00:31:15,040 --> 00:31:18,040 Speaker 2: and there's things the city commissioners and folks that you 531 00:31:18,120 --> 00:31:21,000 Speaker 2: got to deal with on a smaller scale. It's not 532 00:31:21,160 --> 00:31:23,480 Speaker 2: just the mayor of Atlanta that you got to deal with. 533 00:31:24,920 --> 00:31:26,640 Speaker 2: But in this case, I guess there's one to one 534 00:31:26,640 --> 00:31:30,080 Speaker 2: because there's a mayor of Millersville as well. And before 535 00:31:30,120 --> 00:31:34,080 Speaker 2: we get into what's happening, let's shout out two publications, 536 00:31:34,200 --> 00:31:38,920 Speaker 2: The Tennesseean and news Channel five Investigates. Yeah, they do 537 00:31:38,960 --> 00:31:45,680 Speaker 2: good work. Both of these have been publishing extensively on 538 00:31:46,000 --> 00:31:48,240 Speaker 2: just the weird happenings. So let's go to the first 539 00:31:48,360 --> 00:31:54,560 Speaker 2: article from the Tennesseean written by Kirsten Fiscus. Ficus Fiscus, 540 00:31:54,720 --> 00:31:57,280 Speaker 2: I don't know how to say your name, Sorry about that, Kirsten. 541 00:31:57,920 --> 00:32:00,000 Speaker 2: So the first one comes from the Tennessee and written 542 00:32:00,200 --> 00:32:04,120 Speaker 2: in January of twenty twenty four. The title is middle 543 00:32:04,160 --> 00:32:08,400 Speaker 2: Tennessee town acts as third top ranking official in less 544 00:32:08,440 --> 00:32:12,600 Speaker 2: than a week. Huhuh, okay, it's a Tennessee town. All 545 00:32:12,600 --> 00:32:16,600 Speaker 2: they did was fire some people. But they did three 546 00:32:16,600 --> 00:32:20,240 Speaker 2: in one week's time. That's a little weird. It says 547 00:32:20,320 --> 00:32:25,760 Speaker 2: here that the city manager and the attorney, as well 548 00:32:25,800 --> 00:32:30,560 Speaker 2: as now the police chief were fired by the interim 549 00:32:30,760 --> 00:32:35,959 Speaker 2: city manager, someone named Tina Tobin. And guys, what do 550 00:32:36,000 --> 00:32:39,400 Speaker 2: you think, maybe first, what first comes to mind when 551 00:32:39,400 --> 00:32:42,080 Speaker 2: you hear about a small town firing a whole bunch 552 00:32:42,120 --> 00:32:45,280 Speaker 2: of the primary individuals who run that town. 553 00:32:49,000 --> 00:32:49,360 Speaker 5: I don't know. 554 00:32:49,400 --> 00:32:52,600 Speaker 6: That's the kind of stuff that we were stressing about 555 00:32:52,640 --> 00:32:55,480 Speaker 6: with like Project twenty twenty five, in the idea like 556 00:32:56,440 --> 00:32:59,600 Speaker 6: installing loyalists as opposed to experts. 557 00:33:00,200 --> 00:33:01,040 Speaker 5: It just occurs to. 558 00:33:00,960 --> 00:33:05,200 Speaker 2: Me, yeah, exactly. That is precisely the thing that came 559 00:33:05,240 --> 00:33:08,240 Speaker 2: to my mind as well Project twenty twenty five. Okay, well, 560 00:33:08,240 --> 00:33:12,280 Speaker 2: maybe some people are getting pushed out because one person, 561 00:33:12,360 --> 00:33:15,800 Speaker 2: let's say this city manager who is the interim city manager, 562 00:33:16,240 --> 00:33:18,880 Speaker 2: decided there need to be some major changes and took 563 00:33:18,880 --> 00:33:22,400 Speaker 2: it on themselves to do this. It gets weirder though, 564 00:33:23,040 --> 00:33:27,520 Speaker 2: So this person, the Millersville Police Chief, mister Robert Richmond, 565 00:33:28,000 --> 00:33:31,600 Speaker 2: joined the department back in January or I think in 566 00:33:31,640 --> 00:33:35,640 Speaker 2: December maybe, when the police department that he was in 567 00:33:35,720 --> 00:33:38,960 Speaker 2: charge of was under a pretty serious investigation by the 568 00:33:39,000 --> 00:33:43,840 Speaker 2: group known as the Tennessee Peace Officer Standards and Training Commission. 569 00:33:45,000 --> 00:33:48,080 Speaker 2: And the reason why he was even in there is 570 00:33:48,120 --> 00:33:52,280 Speaker 2: because the standing chief and assistant chief both resigned as 571 00:33:52,280 --> 00:33:56,400 Speaker 2: a part of that whole investigation. Guys, we're in the 572 00:33:56,440 --> 00:33:58,720 Speaker 2: weeds here. This is a story that is in the weeds. 573 00:33:59,000 --> 00:34:01,600 Speaker 2: So you don't really even have to remember the primary 574 00:34:01,720 --> 00:34:06,120 Speaker 2: names or anything. Just know that three major officials were 575 00:34:06,240 --> 00:34:09,800 Speaker 2: fired from their jobs in this small Tennessee town back 576 00:34:09,840 --> 00:34:13,160 Speaker 2: in January. And then we go to the same small 577 00:34:13,200 --> 00:34:17,080 Speaker 2: town now in April of twenty twenty four. There is 578 00:34:17,880 --> 00:34:21,840 Speaker 2: a guy named Brian Morris who is the new city 579 00:34:21,920 --> 00:34:25,600 Speaker 2: police chief who is now running things there, and he 580 00:34:25,760 --> 00:34:30,040 Speaker 2: becomes the interim city manager, and he has to function 581 00:34:30,120 --> 00:34:33,440 Speaker 2: as both the police chief and the interim city manager 582 00:34:33,560 --> 00:34:37,000 Speaker 2: because Tina Tobin, the person we just talked about that fired, 583 00:34:37,000 --> 00:34:42,040 Speaker 2: those three people resigned. So it's just this weird, pretty 584 00:34:42,080 --> 00:34:45,680 Speaker 2: consistent churning over the course of four months where people 585 00:34:45,760 --> 00:34:48,960 Speaker 2: are losing their jobs, being appointed by people who are 586 00:34:48,960 --> 00:34:52,400 Speaker 2: then resigning and or being fired. And it's this weird 587 00:34:52,719 --> 00:34:55,400 Speaker 2: churn of human beings that are attempting to run the 588 00:34:55,440 --> 00:34:59,040 Speaker 2: ship there, and it appears that either everybody's failing or 589 00:34:59,120 --> 00:35:03,400 Speaker 2: somebody is decided that they're not right for the job. 590 00:35:04,680 --> 00:35:08,960 Speaker 2: Then you get to July of this year when the 591 00:35:09,080 --> 00:35:14,600 Speaker 2: Tennessee Bureau of Investigation shut out TBI, GBI, and all 592 00:35:14,600 --> 00:35:19,440 Speaker 2: the other statewide bureaus of investigation. Very interesting groups of 593 00:35:19,480 --> 00:35:25,800 Speaker 2: people there. Not quite FBI, but really close, right. Oh yeah, 594 00:35:25,840 --> 00:35:27,879 Speaker 2: And then we jumped to July and we find out 595 00:35:27,920 --> 00:35:32,400 Speaker 2: that the TBI, the Tennessee Bureau of Investigation, is beginning 596 00:35:32,440 --> 00:35:36,640 Speaker 2: a full on investigation because that's what they do of 597 00:35:36,800 --> 00:35:40,920 Speaker 2: Millersville and everything that's been going on there, specifically the 598 00:35:41,040 --> 00:35:44,160 Speaker 2: police department. Remember we just said that the police department 599 00:35:44,320 --> 00:35:47,359 Speaker 2: was previously investigated by another group that had to do 600 00:35:47,440 --> 00:35:51,080 Speaker 2: with kind of standards and practices basically, and now the 601 00:35:51,120 --> 00:35:55,799 Speaker 2: TBI is looking into stuff, and specifically, y'all, they are 602 00:35:55,840 --> 00:36:02,360 Speaker 2: looking into what news Channel five Investigates describes as quote 603 00:36:03,239 --> 00:36:08,560 Speaker 2: a conspiracy minded assistant police chief, a guy named Sean Taylor, 604 00:36:08,960 --> 00:36:12,680 Speaker 2: who is he's the assistant police chief there back in July. 605 00:36:13,120 --> 00:36:15,880 Speaker 2: He is not afraid to come out and fully state 606 00:36:15,920 --> 00:36:18,800 Speaker 2: that he believes in a lot of the Pizzagate stuff, 607 00:36:18,840 --> 00:36:20,640 Speaker 2: a lot of the stuff that we've talked about on 608 00:36:20,680 --> 00:36:21,520 Speaker 2: this shows. 609 00:36:21,640 --> 00:36:21,960 Speaker 5: Twist. 610 00:36:22,560 --> 00:36:24,440 Speaker 3: Yeah, it called conspiracy cop. 611 00:36:24,280 --> 00:36:27,640 Speaker 2: Right, they call him, they call him conspiracy cop, and 612 00:36:27,680 --> 00:36:30,520 Speaker 2: they are using that in the thought terminating cliche way 613 00:36:30,560 --> 00:36:33,200 Speaker 2: that we've described on this show many times, I think, 614 00:36:33,280 --> 00:36:35,719 Speaker 2: as a way to make people think, oh, this guy 615 00:36:35,800 --> 00:36:40,800 Speaker 2: is just nuts. At the same time, this person, Sean Taylor, 616 00:36:41,040 --> 00:36:45,880 Speaker 2: is fully invested in his belief, let's say, his personal 617 00:36:45,920 --> 00:36:50,480 Speaker 2: belief that many political figures, including some that are involved 618 00:36:50,520 --> 00:36:54,239 Speaker 2: in Tennessee maybe on a wider scale, are involved in 619 00:36:54,280 --> 00:36:58,239 Speaker 2: things like child sex trafficking and other nefarious things that 620 00:36:58,280 --> 00:37:00,840 Speaker 2: are described in Pizzagate, and you know, some of the 621 00:37:00,960 --> 00:37:05,359 Speaker 2: other just larger conspiracies that originated, you know, on four 622 00:37:05,440 --> 00:37:08,919 Speaker 2: Chan in places like that. So this guy is under 623 00:37:09,040 --> 00:37:12,120 Speaker 2: a lot of scrutiny. He's being investigated. The entire Millersville 624 00:37:12,160 --> 00:37:16,759 Speaker 2: Police Department is being investigated. And then you keep going 625 00:37:16,800 --> 00:37:20,840 Speaker 2: down to September of this year. Early September, the TBI 626 00:37:21,440 --> 00:37:25,160 Speaker 2: does a full on raid of the Millersville Police Department, 627 00:37:26,400 --> 00:37:32,880 Speaker 2: and they also check out several other locations like it 628 00:37:32,880 --> 00:37:37,279 Speaker 2: appears to be individuals' homes that they search to find 629 00:37:37,280 --> 00:37:40,279 Speaker 2: out what's going on. And I've put a bunch of 630 00:37:40,360 --> 00:37:43,160 Speaker 2: articles in here, guys. I think one of the biggest 631 00:37:43,280 --> 00:37:47,840 Speaker 2: things to note the Tennessee and reports on September fifth 632 00:37:48,480 --> 00:37:54,520 Speaker 2: that the TBI cut access to crime data or crime data. 633 00:37:54,719 --> 00:37:59,360 Speaker 2: I guess before they decided to raid this police. 634 00:37:58,960 --> 00:38:04,160 Speaker 5: Department cut access in what respects. 635 00:38:04,640 --> 00:38:08,560 Speaker 2: Well, they cut access to specifically the chief of police there, 636 00:38:08,840 --> 00:38:13,160 Speaker 2: Brian Morris. His entire department was restricted from using the 637 00:38:13,320 --> 00:38:17,759 Speaker 2: quote financial crimes enforcement neck Natives or Finnsen got it. 638 00:38:17,800 --> 00:38:20,080 Speaker 2: They locked him out of all that, which is a 639 00:38:20,120 --> 00:38:23,600 Speaker 2: thing that tracks financial crimes or financial related crimes, and 640 00:38:24,880 --> 00:38:27,040 Speaker 2: which is really weird. Think about that. You are the 641 00:38:27,160 --> 00:38:30,560 Speaker 2: you are a full police department. Then somebody comes through 642 00:38:30,600 --> 00:38:33,560 Speaker 2: and says you no longer have access to this thing 643 00:38:33,880 --> 00:38:36,280 Speaker 2: that you use, I guess on a regular basis. 644 00:38:36,400 --> 00:38:38,680 Speaker 6: Yeah, that's like if they cut off our lexus nexus 645 00:38:38,840 --> 00:38:39,880 Speaker 6: or something like that. 646 00:38:39,920 --> 00:38:40,160 Speaker 5: You know. 647 00:38:40,320 --> 00:38:43,279 Speaker 2: Yeah, Well, it's supposed to track a lot of things, 648 00:38:43,320 --> 00:38:45,680 Speaker 2: but money laundering is one of the big things. And 649 00:38:45,719 --> 00:38:51,040 Speaker 2: then there are accusations here that somehow this police department 650 00:38:51,640 --> 00:38:56,719 Speaker 2: is running some weird stuff with money, with corruption, with 651 00:38:57,840 --> 00:39:00,840 Speaker 2: all kinds of I don't know who knows what innigans 652 00:39:00,840 --> 00:39:03,919 Speaker 2: because nobody's talking right now. The Attorney General isn't giving 653 00:39:03,960 --> 00:39:07,520 Speaker 2: any details. Nobody's giving any full details because the TBI 654 00:39:07,680 --> 00:39:09,399 Speaker 2: is still doing their investigation. Thing. 655 00:39:09,719 --> 00:39:11,800 Speaker 6: This is breaking news, Matt, I mean, this is something 656 00:39:11,840 --> 00:39:14,040 Speaker 6: that to continue to keep an eye on. 657 00:39:14,080 --> 00:39:17,240 Speaker 2: Right Well, it is, Yeah, it is somewhat breaking news. 658 00:39:17,280 --> 00:39:21,200 Speaker 2: But it is also just odd because it is a 659 00:39:21,200 --> 00:39:24,719 Speaker 2: small town problem. This is a very small place right now, 660 00:39:25,000 --> 00:39:28,280 Speaker 2: pretty isolated from a lot of other major metropolitan areas 661 00:39:28,360 --> 00:39:33,360 Speaker 2: of Tennessee. And I don't know, I don't know. I 662 00:39:33,440 --> 00:39:34,879 Speaker 2: just wanted to talk to you guys about it, let 663 00:39:34,880 --> 00:39:37,520 Speaker 2: people know about it. So because I don't know, I 664 00:39:37,719 --> 00:39:41,399 Speaker 2: like small town stuff that's happening, especially when it feels 665 00:39:41,440 --> 00:39:43,600 Speaker 2: like there's some bigger implication here. 666 00:39:43,760 --> 00:39:47,480 Speaker 6: Well, it always seems like these kinds of things tend 667 00:39:47,680 --> 00:39:51,759 Speaker 6: to happen in smaller towns because they're away from the 668 00:39:51,880 --> 00:39:57,080 Speaker 6: prying eyes of like larger organizations that would maybe uncover 669 00:39:57,200 --> 00:40:00,080 Speaker 6: this kind of corruption. So it does tend to to 670 00:40:00,719 --> 00:40:03,719 Speaker 6: flourish or fester, I guess is a better word in 671 00:40:03,840 --> 00:40:05,520 Speaker 6: some of these more isolated areas. 672 00:40:06,640 --> 00:40:08,880 Speaker 2: Agreed. And if you want to learn more about this, 673 00:40:09,040 --> 00:40:11,640 Speaker 2: head on over to the Tennessee and that's the t 674 00:40:12,040 --> 00:40:14,880 Speaker 2: N N E S S E A N. It's a 675 00:40:15,080 --> 00:40:18,040 Speaker 2: website you can find online. Look at the article titled 676 00:40:18,080 --> 00:40:22,120 Speaker 2: Tennessee Bureau of Investigation confirms raid on Millersville police amid 677 00:40:22,200 --> 00:40:25,759 Speaker 2: city turmoil. And in here you will you're gonna hear 678 00:40:25,800 --> 00:40:28,239 Speaker 2: a lot from this person named Susan Nyland, who's a 679 00:40:28,239 --> 00:40:32,600 Speaker 2: spokesperson specifically for the Tennessee Bureau of Investigation. And they're 680 00:40:32,640 --> 00:40:35,759 Speaker 2: saying that it is a search warrant that they are 681 00:40:36,000 --> 00:40:38,759 Speaker 2: executing at the Millersville Police Department as part of an 682 00:40:38,800 --> 00:40:42,240 Speaker 2: ongoing investigation, and that it was the second search warrant 683 00:40:42,520 --> 00:40:47,000 Speaker 2: that was carried out specifically to look at that police chief, 684 00:40:47,040 --> 00:40:51,760 Speaker 2: the assistant police chief, Sean Taylor, because it was his house, 685 00:40:51,840 --> 00:40:55,320 Speaker 2: his private home that was also investigated, but they won't 686 00:40:55,320 --> 00:40:57,839 Speaker 2: give any more details what. 687 00:40:57,800 --> 00:41:01,200 Speaker 6: Would trigger such a raid on a per individual person's home. 688 00:41:01,239 --> 00:41:02,360 Speaker 6: And I guess the closest thing we have to a 689 00:41:02,480 --> 00:41:05,320 Speaker 6: clue here is they're cut off from the financial stuff, 690 00:41:05,360 --> 00:41:07,960 Speaker 6: so maybe they were exploiting that, or maybe he's got 691 00:41:08,000 --> 00:41:09,880 Speaker 6: stuff at his house that would indicate some sort of 692 00:41:09,920 --> 00:41:11,640 Speaker 6: grift that he was at the center of. 693 00:41:12,320 --> 00:41:14,520 Speaker 2: Well, it appears that we have a somewhat of an 694 00:41:14,560 --> 00:41:18,839 Speaker 2: answer here. Guys. Remember we talked about this assistant police 695 00:41:18,920 --> 00:41:21,480 Speaker 2: chief who's a little conspiracy minded, maybe a little more 696 00:41:21,520 --> 00:41:23,680 Speaker 2: than a lot of people are comfortable with. They're in 697 00:41:23,719 --> 00:41:26,000 Speaker 2: the small town. The small town is making a ton 698 00:41:26,040 --> 00:41:27,960 Speaker 2: of changes, and they have been since the start of 699 00:41:27,960 --> 00:41:30,600 Speaker 2: the year about who is the right person or maybe 700 00:41:30,600 --> 00:41:34,160 Speaker 2: the good person in their minds, you know, in their opinions, 701 00:41:34,200 --> 00:41:36,960 Speaker 2: to run the show around there. And then there are 702 00:41:36,960 --> 00:41:41,200 Speaker 2: allegations that either individuals at the Millersville Police Department or 703 00:41:41,360 --> 00:41:43,200 Speaker 2: some you know, people who are running the city, the 704 00:41:43,239 --> 00:41:46,399 Speaker 2: officials that have been appointed or moved around, that they 705 00:41:46,480 --> 00:41:54,920 Speaker 2: are investigating political enemies and specifically like money stuff with 706 00:41:55,040 --> 00:41:58,080 Speaker 2: their enemies, which is why they maybe lost use of 707 00:41:58,080 --> 00:42:03,520 Speaker 2: that database, because that would be pretty bad, right if 708 00:42:03,560 --> 00:42:06,000 Speaker 2: you were using if you're in an official public position, 709 00:42:06,920 --> 00:42:11,120 Speaker 2: or especially a police department, and you are investigating political 710 00:42:11,239 --> 00:42:17,359 Speaker 2: enemies and like gailing, perhaps maybe or again, what if 711 00:42:17,400 --> 00:42:20,400 Speaker 2: it is somebody who believes that some of these officials 712 00:42:20,440 --> 00:42:24,640 Speaker 2: are getting into super nefarious things and then wants to 713 00:42:24,680 --> 00:42:29,600 Speaker 2: prove that somehow because there's no evidence that actually shows it, 714 00:42:29,920 --> 00:42:32,520 Speaker 2: But maybe you look for other things, so then you 715 00:42:32,719 --> 00:42:37,080 Speaker 2: just keep your eyes on any transactions that a particular 716 00:42:37,120 --> 00:42:40,920 Speaker 2: individual does, or maybe even use and this is my 717 00:42:41,080 --> 00:42:43,759 Speaker 2: own thought here, but maybe even use some kind of 718 00:42:43,800 --> 00:42:47,759 Speaker 2: surveillance technology that's available to the police department to just 719 00:42:47,840 --> 00:42:50,760 Speaker 2: keep an eye on people because you've got an idea 720 00:42:50,760 --> 00:42:53,880 Speaker 2: and you feel something that is happening, so you decide 721 00:42:53,880 --> 00:42:56,279 Speaker 2: to take those actions, which are illegal even for a 722 00:42:56,280 --> 00:42:58,560 Speaker 2: police department if there's no official investigation. 723 00:42:59,400 --> 00:43:02,680 Speaker 6: So I mean, Ben, if you in't mind, do you 724 00:43:02,680 --> 00:43:05,960 Speaker 6: have any thoughts on like what would happen? What happens 725 00:43:06,000 --> 00:43:09,719 Speaker 6: when an entire government and or you know, a wing 726 00:43:09,880 --> 00:43:12,839 Speaker 6: or branch of government is determined to be corrupt at 727 00:43:12,840 --> 00:43:16,960 Speaker 6: its very core. These clean house install an entirely new 728 00:43:16,960 --> 00:43:18,720 Speaker 6: police department like, how does that work. 729 00:43:20,360 --> 00:43:24,000 Speaker 3: It's a difficult proposition. I mean, that's why there are. 730 00:43:25,320 --> 00:43:28,520 Speaker 4: That's why the TBI is doing this kind of investigation. 731 00:43:28,760 --> 00:43:33,000 Speaker 4: That's why things like the FBI and theory exist because 732 00:43:33,120 --> 00:43:37,680 Speaker 4: there has to be some sort of chain of command 733 00:43:37,760 --> 00:43:41,600 Speaker 4: or accountability. You know, in this case where it appears 734 00:43:41,640 --> 00:43:47,160 Speaker 4: there are deep systemic issues, you start thinking through things 735 00:43:47,280 --> 00:43:54,640 Speaker 4: like continuity of governance. You know, Millersville, for anybody from 736 00:43:54,680 --> 00:43:59,399 Speaker 4: Tennessee has long been famous for being a speed trap town. 737 00:44:00,480 --> 00:44:05,360 Speaker 4: Uh So there were there were already there were already 738 00:44:05,400 --> 00:44:11,359 Speaker 4: long standing beliefs, uh that that the the powers that 739 00:44:11,440 --> 00:44:16,120 Speaker 4: be on a municipal level were not completely above board. 740 00:44:16,480 --> 00:44:20,719 Speaker 4: So to your questional, it feels like one of the 741 00:44:20,760 --> 00:44:24,839 Speaker 4: next things that would have to happen is uh an 742 00:44:24,920 --> 00:44:28,319 Speaker 4: election with a cleaning of house, Right, somebody has to 743 00:44:28,440 --> 00:44:32,480 Speaker 4: occupy those roles. But it gets pretty it becomes a 744 00:44:32,520 --> 00:44:38,560 Speaker 4: pretty complicated lasagna when you realize that in a very 745 00:44:38,560 --> 00:44:42,279 Speaker 4: small town, most of the people will know each other, 746 00:44:42,800 --> 00:44:47,640 Speaker 4: so it's kind of difficult to find a shiny new 747 00:44:47,719 --> 00:44:51,320 Speaker 4: penny in a political or governmental candidate. 748 00:44:51,760 --> 00:44:51,880 Speaker 3: Uh. 749 00:44:51,960 --> 00:44:55,200 Speaker 2: Well, yeah, that they hired outside of even the county 750 00:44:55,320 --> 00:44:57,600 Speaker 2: or you know, they went to different other small towns. 751 00:44:57,640 --> 00:45:01,160 Speaker 2: Like this guy, Brian Morris was normally the police chief 752 00:45:01,320 --> 00:45:05,240 Speaker 2: of a place called the Ridgetop Police Department in a 753 00:45:05,280 --> 00:45:08,919 Speaker 2: county called Robertson, Robertson County, and he got brought over 754 00:45:09,000 --> 00:45:13,440 Speaker 2: in February. And the other thing here that we have 755 00:45:13,520 --> 00:45:17,360 Speaker 2: to consider. Guys, maybe we just gave it out momentarily. 756 00:45:17,400 --> 00:45:21,640 Speaker 2: But what if this assistant police chief has these views 757 00:45:22,000 --> 00:45:25,520 Speaker 2: and some of them might be wackado out there right, 758 00:45:25,840 --> 00:45:29,080 Speaker 2: Like just some of those views are so far to 759 00:45:29,160 --> 00:45:32,160 Speaker 2: the fringe that there's no way it's true. But what 760 00:45:32,200 --> 00:45:35,640 Speaker 2: if he, in his search for answers to those things, 761 00:45:35,760 --> 00:45:38,680 Speaker 2: or connections or evidence to those things, leads him to 762 00:45:38,840 --> 00:45:44,000 Speaker 2: actual corruption on like a city level, on a county level, 763 00:45:44,040 --> 00:45:47,080 Speaker 2: on a state level. What if he finds actual stuff? 764 00:45:47,320 --> 00:45:50,120 Speaker 2: What happens then? If you try and raise a flag 765 00:45:50,320 --> 00:45:55,840 Speaker 2: as an assistant police chief of a small town. What happens? 766 00:45:56,280 --> 00:45:59,959 Speaker 2: Would the TBI come in and say, Hey, we're raising 767 00:46:00,080 --> 00:46:02,160 Speaker 2: your place and we're gonna take all of that stuff 768 00:46:02,200 --> 00:46:07,560 Speaker 2: that maybe is evidence against somebody that we are protecting. Yes, 769 00:46:07,719 --> 00:46:09,480 Speaker 2: I don't know, that's. 770 00:46:09,320 --> 00:46:10,600 Speaker 5: An interesting proposition. 771 00:46:10,680 --> 00:46:12,799 Speaker 2: Yeah, well it's a wild thought, I guess. But at 772 00:46:12,800 --> 00:46:16,560 Speaker 2: the same time, what would that look like if that happened. 773 00:46:19,200 --> 00:46:19,919 Speaker 5: It's a good question. 774 00:46:19,920 --> 00:46:21,759 Speaker 6: I mean, that's I guess what I was posing why 775 00:46:21,840 --> 00:46:24,680 Speaker 6: this story is particularly interesting because like what happens when 776 00:46:25,440 --> 00:46:29,080 Speaker 6: it is determined that like a division of government or 777 00:46:29,120 --> 00:46:31,399 Speaker 6: whatever is just rotten to the core, and it's not 778 00:46:31,520 --> 00:46:34,760 Speaker 6: just one bad apple or whatever, like it's like fundamentally 779 00:46:34,840 --> 00:46:38,480 Speaker 6: part of the culture of that entire organization. 780 00:46:40,560 --> 00:46:43,520 Speaker 5: I don't know, it's it's wild, man. I'm fascinated by 781 00:46:43,520 --> 00:46:44,440 Speaker 5: the story that you found that. 782 00:46:45,480 --> 00:46:47,640 Speaker 2: I think it is too, and I'm going to keep 783 00:46:48,239 --> 00:46:50,120 Speaker 2: my eyes and ears on it. We hope you do too. 784 00:46:50,680 --> 00:46:53,640 Speaker 2: So thanks so much for checking out this episode of 785 00:46:53,680 --> 00:46:57,520 Speaker 2: Strange News Today. Let's tell everybody how to contact us. 786 00:46:57,719 --> 00:47:00,920 Speaker 4: Yeah, thanks so much for tuning into our weekly Strange 787 00:47:01,000 --> 00:47:04,920 Speaker 4: News segment. Folks, we hope if you are AI human 788 00:47:05,239 --> 00:47:09,919 Speaker 4: or a fun guy that you have you will join 789 00:47:10,040 --> 00:47:13,880 Speaker 4: us in the future to wrestle with some of these questions. 790 00:47:14,080 --> 00:47:18,200 Speaker 4: Would you be comfortable with your children in an AI classroom? 791 00:47:19,040 --> 00:47:22,600 Speaker 4: What do you think about Pacific rim Uprising? Tell us 792 00:47:22,640 --> 00:47:27,040 Speaker 4: also your first hand experience in the trenches with small 793 00:47:27,080 --> 00:47:30,400 Speaker 4: town corruption. We try to be easy to find in 794 00:47:30,440 --> 00:47:33,719 Speaker 4: a manner in a number of manners, one of which 795 00:47:33,840 --> 00:47:34,719 Speaker 4: is online. 796 00:47:35,000 --> 00:47:35,360 Speaker 5: Correct. 797 00:47:35,440 --> 00:47:38,959 Speaker 6: You can locate us on the Internet, your social media 798 00:47:39,000 --> 00:47:41,279 Speaker 6: platform with choice at the handle Conspiracy Stuff, where we 799 00:47:41,320 --> 00:47:44,360 Speaker 6: exist on Facebook with our Facebook group. Here's where it 800 00:47:44,360 --> 00:47:46,720 Speaker 6: gets crazy. Get in on the conversation post some memes 801 00:47:46,760 --> 00:47:49,200 Speaker 6: have a ball. We also exist in that handle on 802 00:47:49,520 --> 00:47:54,120 Speaker 6: x fka, Twitter and on YouTube, where we have video 803 00:47:54,200 --> 00:47:57,240 Speaker 6: content galore for you to peruse at your leisure. 804 00:47:57,640 --> 00:47:58,520 Speaker 5: On Instagram and. 805 00:47:58,520 --> 00:48:01,880 Speaker 6: TikTok, however, we are Conspiracy Stuff show. 806 00:48:02,760 --> 00:48:05,040 Speaker 2: Do you have a phone number and a mouth? Call 807 00:48:05,120 --> 00:48:09,320 Speaker 2: one eight three three std WYTK. Use your mouth to 808 00:48:09,440 --> 00:48:12,359 Speaker 2: leave a voicemail. There's three minutes. Give yourself a cool 809 00:48:12,440 --> 00:48:14,200 Speaker 2: nickname and let us know if we can use your 810 00:48:14,280 --> 00:48:18,319 Speaker 2: name and mouth noises on the air. Sorry, I'm just 811 00:48:18,320 --> 00:48:22,719 Speaker 2: being weird with it your voice. If you've got more 812 00:48:22,719 --> 00:48:24,680 Speaker 2: to say than can fit in a three minute voicemail, 813 00:48:24,719 --> 00:48:27,160 Speaker 2: why not instead send us a good old fashioned email. 814 00:48:27,360 --> 00:48:31,440 Speaker 4: We are the entities that read every piece of correspondence 815 00:48:31,560 --> 00:48:34,480 Speaker 4: we receive, and it always makes. 816 00:48:34,239 --> 00:48:39,799 Speaker 3: Our evening to hear from you. Folks. Be aware, yet unafraid. 817 00:48:40,120 --> 00:48:44,560 Speaker 4: Sometimes the void writes back, So join us out here 818 00:48:44,600 --> 00:49:08,080 Speaker 4: in the dark. Conspiracy at iHeartRadio dot com. 819 00:49:08,320 --> 00:49:10,360 Speaker 2: Stuff they Don't Want You to Know is a production 820 00:49:10,480 --> 00:49:15,000 Speaker 2: of iHeartRadio. 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