1 00:00:00,320 --> 00:00:04,760 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 00:00:09,280 --> 00:00:19,960 Speaker 1: learn the stuff they don't want you to know. Hello, 4 00:00:20,000 --> 00:00:23,000 Speaker 1: and welcome back to the program. My name is Noel, 5 00:00:23,760 --> 00:00:27,360 Speaker 1: It's Noel the Madman Brown. My name is Ben. You 6 00:00:27,440 --> 00:00:31,640 Speaker 1: are hopefully still yourself. Just be yourself. That's an amazing thing. Uh, 7 00:00:31,720 --> 00:00:39,320 Speaker 1: And we are back. Our compatriot, our our comrade, our 8 00:00:40,720 --> 00:00:45,800 Speaker 1: our buddy, our buddy, are our fellow podcast revolutionary slash 9 00:00:45,840 --> 00:00:52,319 Speaker 1: conspiracy realist Matt Frederick remains on a secret mission as 10 00:00:52,400 --> 00:00:56,760 Speaker 1: we record this. However, if you listened to our episode 11 00:00:56,800 --> 00:01:01,200 Speaker 1: the previous week, wherein we we delve into the uh 12 00:01:01,320 --> 00:01:05,160 Speaker 1: the realm of alchemy, then you know that we have 13 00:01:05,520 --> 00:01:10,840 Speaker 1: a returning UH. Special guest with us is a friend 14 00:01:10,840 --> 00:01:15,720 Speaker 1: of ours, friend of the show who writes extensively about 15 00:01:16,040 --> 00:01:19,920 Speaker 1: religious studies. I would say philosophy, the history of philosophy, 16 00:01:20,040 --> 00:01:26,120 Speaker 1: the future of philosophy. Yeah, consciousness, uh and uh, technology 17 00:01:26,480 --> 00:01:29,000 Speaker 1: and the occult. Ladies and gentlemen, let's welcome back to 18 00:01:29,040 --> 00:01:32,640 Speaker 1: the show. Damian Patrick Williams. Very happy to be back 19 00:01:32,640 --> 00:01:35,760 Speaker 1: with you guys, almost like we were just here a 20 00:01:35,760 --> 00:01:38,560 Speaker 1: few minutes ago and then we just came back in 21 00:01:38,600 --> 00:01:43,399 Speaker 1: the room. What is time? What is space? What is 22 00:01:43,800 --> 00:01:50,600 Speaker 1: a shout out corner? Shout ut corners? Well, Ben, A 23 00:01:50,640 --> 00:01:54,720 Speaker 1: shout out corner is a segment of the stuff that 24 00:01:54,800 --> 00:01:58,440 Speaker 1: I want you to know audio podcast wherein we shout 25 00:01:58,640 --> 00:02:03,120 Speaker 1: out to various listeners that right in and request said 26 00:02:03,240 --> 00:02:05,720 Speaker 1: shout out. And you know, sometimes we just pull them 27 00:02:05,720 --> 00:02:07,520 Speaker 1: off the cuff and we pull people on Facebook to 28 00:02:07,600 --> 00:02:11,560 Speaker 1: deserve a nice word because of their clever interactions and um, 29 00:02:11,600 --> 00:02:13,160 Speaker 1: you know, but a lot of times people have really 30 00:02:13,160 --> 00:02:14,760 Speaker 1: been enjoying it, so they've been writing in and asking 31 00:02:14,800 --> 00:02:18,840 Speaker 1: for him. So what you got? So what we have today? 32 00:02:18,880 --> 00:02:20,880 Speaker 1: This is a This is a good one, you guys. 33 00:02:21,120 --> 00:02:24,040 Speaker 1: Justin Cruise a K A the Cruise a K A 34 00:02:24,240 --> 00:02:27,960 Speaker 1: J krizzle X Calm could it be real? Just played 35 00:02:28,000 --> 00:02:32,760 Speaker 1: the bureau x cam Declassified x com two on Twitch. 36 00:02:33,280 --> 00:02:36,040 Speaker 1: Shout out to you, justin Cruise A K A the 37 00:02:36,120 --> 00:02:40,320 Speaker 1: Cruise a K A J krizzle A K A cruise 38 00:02:40,320 --> 00:02:46,360 Speaker 1: missile just got a new nickname. Yeah, well this is 39 00:02:46,720 --> 00:02:49,040 Speaker 1: this is a game that Nolan I have played before 40 00:02:49,560 --> 00:02:52,520 Speaker 1: where we says was David just a K A and 41 00:02:52,600 --> 00:02:56,520 Speaker 1: keep adding nicknames. It's it's fun until you're more than 42 00:02:56,560 --> 00:02:59,600 Speaker 1: three drinks in, and then when it gets really weird. 43 00:02:59,639 --> 00:03:02,720 Speaker 1: Sometimes they were just sentences and be like a k 44 00:03:02,880 --> 00:03:07,120 Speaker 1: a once upon a time in the eighteen forties. Uh, 45 00:03:07,200 --> 00:03:11,920 Speaker 1: at which point, no, you uh, you wisely um told 46 00:03:11,919 --> 00:03:14,880 Speaker 1: me you get some water? You know, just change the subject, 47 00:03:15,040 --> 00:03:19,760 Speaker 1: Just change with the subject. That's maybe have some bread? Yeah, right, Oh, 48 00:03:19,840 --> 00:03:21,840 Speaker 1: that's the worst part of the barrow where someone just says, 49 00:03:21,919 --> 00:03:25,520 Speaker 1: can I could I just have some bread? I know 50 00:03:25,560 --> 00:03:27,840 Speaker 1: there's a menu, but may I just have two slices 51 00:03:27,880 --> 00:03:32,840 Speaker 1: of bread? Yeah? Our next shout out comes to us 52 00:03:33,160 --> 00:03:36,720 Speaker 1: from old friend of the show and a mini shows 53 00:03:36,720 --> 00:03:40,200 Speaker 1: here a house of words, Aaron Cooper, who says, fun fact, 54 00:03:40,240 --> 00:03:43,600 Speaker 1: if you say Coop three times, I will magically appear 55 00:03:43,800 --> 00:03:49,200 Speaker 1: allah beetlejuice. Maybe I don't know worth a try. Hashtag 56 00:03:49,360 --> 00:03:54,400 Speaker 1: shout out corner, hashtag Coop Coop Coop? Where is he 57 00:03:56,720 --> 00:03:58,560 Speaker 1: got be a mirror and this is just a piece 58 00:03:58,600 --> 00:04:00,760 Speaker 1: of glass? Maybe it's like out mean, maybe we just 59 00:04:00,760 --> 00:04:03,520 Speaker 1: didn't do the ritual correctly. Yeah, you might have said 60 00:04:03,520 --> 00:04:05,200 Speaker 1: it just a little bit too fast. We need like 61 00:04:05,240 --> 00:04:08,600 Speaker 1: a wand of ash or something. Yeah, are like some 62 00:04:08,680 --> 00:04:13,040 Speaker 1: things that that Coope likest the table with us. Uhuh 63 00:04:13,600 --> 00:04:17,760 Speaker 1: walk winter Shan's under a moonless night. All right, just 64 00:04:17,960 --> 00:04:24,240 Speaker 1: text that's true, Okay. Our final shout out for today, 65 00:04:24,520 --> 00:04:29,159 Speaker 1: Uh Troy Land, I hope I am pronouncing your name correctly, 66 00:04:29,200 --> 00:04:31,719 Speaker 1: but I fear I am not. Uh says I'd like 67 00:04:31,720 --> 00:04:35,440 Speaker 1: a shout out to I'm cool, and then sent us 68 00:04:35,480 --> 00:04:38,960 Speaker 1: a send us a gift of Hey Mitch from Hunger 69 00:04:39,000 --> 00:04:42,720 Speaker 1: Games approving of something. Well, Troy, we think you're cool. 70 00:04:42,920 --> 00:04:46,560 Speaker 1: Thanks for listening to the show, And that is our 71 00:04:46,640 --> 00:04:52,760 Speaker 1: shout out corner. Gosh. So today we're gonna go a 72 00:04:52,800 --> 00:04:55,640 Speaker 1: little bit outside the norm of our show and that 73 00:04:55,720 --> 00:05:01,000 Speaker 1: we're gonna have a particularly free ranging conversation about a 74 00:05:01,120 --> 00:05:04,839 Speaker 1: topic that is fascinating to all three of us for sure, 75 00:05:04,920 --> 00:05:08,240 Speaker 1: and that Damien has a bit of a background in um, 76 00:05:08,320 --> 00:05:14,600 Speaker 1: which is technology and its intersection with the occult. So 77 00:05:14,680 --> 00:05:17,640 Speaker 1: I mean, I wasn't even really aware of this as 78 00:05:17,720 --> 00:05:19,920 Speaker 1: a as an idea. I mean, it makes sense when 79 00:05:19,920 --> 00:05:21,719 Speaker 1: you think about it, and there's so many ways that 80 00:05:21,760 --> 00:05:25,239 Speaker 1: you can kind of match those two concepts together. But Damian, 81 00:05:25,279 --> 00:05:27,080 Speaker 1: if you could, can you give us just a little 82 00:05:27,080 --> 00:05:30,039 Speaker 1: bit of a background on what this is and and 83 00:05:30,160 --> 00:05:35,240 Speaker 1: where how you came to it. Maylor, Damon's no, not 84 00:05:35,920 --> 00:05:38,880 Speaker 1: but that was worth it. That's something that's that's definitely 85 00:05:38,920 --> 00:05:43,599 Speaker 1: something you should be thinking about. Um No. UM, my 86 00:05:43,760 --> 00:05:49,640 Speaker 1: background with this comes from a longstanding investigation into the 87 00:05:49,760 --> 00:05:54,799 Speaker 1: nature of consciousness, the nature of knowledge from philosophical perspective. 88 00:05:54,839 --> 00:05:59,679 Speaker 1: I did my um my master's thesis on philosophy and 89 00:06:00,040 --> 00:06:04,240 Speaker 1: occult and ritual theory and the history of magic and 90 00:06:04,279 --> 00:06:06,359 Speaker 1: the history of what it is we mean when we 91 00:06:06,400 --> 00:06:10,080 Speaker 1: say we know something, um, and how that's changed a 92 00:06:10,200 --> 00:06:14,880 Speaker 1: great great deal over the course of our human history. UM. 93 00:06:14,960 --> 00:06:22,120 Speaker 1: And you know, really weird, kind of strange sense. Um. 94 00:06:22,200 --> 00:06:28,560 Speaker 1: You can actually trace this back to comics cartoons, Gargoyles. 95 00:06:28,720 --> 00:06:34,920 Speaker 1: Actually remember the show Gargoyles, Um, David Xanatos, the person 96 00:06:34,960 --> 00:06:39,960 Speaker 1: who would make use of superscience and magic to make new, 97 00:06:40,040 --> 00:06:44,040 Speaker 1: weird super science magic. That was like an aspirational ideal 98 00:06:44,080 --> 00:06:47,440 Speaker 1: of mine as a child. So, UM, it's fun to say, 99 00:06:47,480 --> 00:06:50,960 Speaker 1: and it's cute, but it's also vaguely true. So I 100 00:06:51,000 --> 00:06:54,920 Speaker 1: got to start thinking about these things at an early age. UM. 101 00:06:55,040 --> 00:06:57,839 Speaker 1: What we mentioned last week about this point at which 102 00:06:57,920 --> 00:07:02,120 Speaker 1: science and magic became kind of antagonistic to each other. 103 00:07:02,240 --> 00:07:04,880 Speaker 1: Right where they started to see each other not as 104 00:07:05,279 --> 00:07:08,279 Speaker 1: the same process, the same pursuit as they used to 105 00:07:08,320 --> 00:07:11,400 Speaker 1: be uh seen during the times of the ancient Greeks 106 00:07:11,400 --> 00:07:14,960 Speaker 1: and other non Western cultures, um as they even still 107 00:07:14,960 --> 00:07:18,240 Speaker 1: are today in many non Western cultures. But in the West, 108 00:07:18,240 --> 00:07:21,600 Speaker 1: there's this certain moment where they diverge. And I got 109 00:07:21,640 --> 00:07:24,840 Speaker 1: to thinking about why that was, Why we've gotten to 110 00:07:24,880 --> 00:07:29,480 Speaker 1: this point where magic and science are so deeply antagonistic 111 00:07:29,480 --> 00:07:33,160 Speaker 1: towards each other. UM. Why when we talk about magic 112 00:07:33,480 --> 00:07:37,360 Speaker 1: in the West, we're using it most often um as 113 00:07:37,760 --> 00:07:40,920 Speaker 1: a kind of a foil character using it as something 114 00:07:40,960 --> 00:07:45,280 Speaker 1: to to make science look good. Right, It's not magic, 115 00:07:45,800 --> 00:07:48,200 Speaker 1: um is usually how we talk about it, or we 116 00:07:48,240 --> 00:07:51,000 Speaker 1: talk about something being like magic, or we talk about 117 00:07:51,040 --> 00:07:53,440 Speaker 1: it's it's just as easy as waving a wand or 118 00:07:53,560 --> 00:07:56,080 Speaker 1: silver bullet or you know any number of like things 119 00:07:56,120 --> 00:08:00,920 Speaker 1: like that, these kind of magical metaphors. UM. But there's 120 00:08:01,000 --> 00:08:03,840 Speaker 1: this point, there had to be this point where these 121 00:08:03,880 --> 00:08:08,280 Speaker 1: things overlapped, where they were the same processes. And that's 122 00:08:08,320 --> 00:08:10,880 Speaker 1: what I'm interested in. It's almost something we touched on 123 00:08:10,920 --> 00:08:13,760 Speaker 1: at the end of the alchemy episode where we talked about, 124 00:08:13,840 --> 00:08:17,440 Speaker 1: you know, the future of alchemy and how um, so 125 00:08:17,480 --> 00:08:21,120 Speaker 1: many of these processes that when they were conceived at 126 00:08:21,120 --> 00:08:25,720 Speaker 1: the time largely involved mysticism and magic and you know, transmutation, 127 00:08:26,040 --> 00:08:30,200 Speaker 1: but now there's this, um, these modern processes that essentially 128 00:08:30,200 --> 00:08:33,200 Speaker 1: achieve the results that they were sought after, but you know, 129 00:08:33,280 --> 00:08:37,160 Speaker 1: with modern technology, and I think the interesting places where 130 00:08:37,200 --> 00:08:40,480 Speaker 1: those two things meet, um, whether there's a hybrid of 131 00:08:40,480 --> 00:08:43,560 Speaker 1: the two or whether it's like sort of one coming 132 00:08:43,600 --> 00:08:45,120 Speaker 1: as a result of the other. I don't know if 133 00:08:45,160 --> 00:08:47,480 Speaker 1: that makes sense. Well, yeah, let's start with Let's just 134 00:08:47,559 --> 00:08:51,800 Speaker 1: start with some the most basic definitions so that we 135 00:08:51,920 --> 00:08:54,880 Speaker 1: can we can build our understanding off of this, because 136 00:08:54,880 --> 00:08:58,880 Speaker 1: there's a few things here that I am oddly thrilled 137 00:08:58,960 --> 00:09:03,200 Speaker 1: to talk about, even though I know we probably won't 138 00:09:03,240 --> 00:09:06,640 Speaker 1: get to everything. Well actually, we certainly won't get to 139 00:09:06,679 --> 00:09:10,040 Speaker 1: everything that the three of us want to explore today. 140 00:09:10,080 --> 00:09:16,080 Speaker 1: But what we will hopefully do, listeners, is pose some questions, 141 00:09:16,800 --> 00:09:20,800 Speaker 1: and even more importantly, we would like for you to 142 00:09:21,240 --> 00:09:25,640 Speaker 1: write to us with your questions. You can find you know, 143 00:09:25,679 --> 00:09:27,959 Speaker 1: if they just pop up for you as you're listening 144 00:09:28,000 --> 00:09:31,520 Speaker 1: to this, Uh, you can find Nolan I on Twitter 145 00:09:31,679 --> 00:09:35,880 Speaker 1: at conspiracy stuff and you can find Damien at wolven 146 00:09:36,200 --> 00:09:39,120 Speaker 1: w O l v e N. So if something pops 147 00:09:39,200 --> 00:09:41,800 Speaker 1: up while you're while you're listening to this, uh, then 148 00:09:42,400 --> 00:09:47,640 Speaker 1: use technology to communicate with us, instantly send us a message, uh, 149 00:09:47,760 --> 00:09:51,080 Speaker 1: the same way. You know. It's essentially clear avoyance at 150 00:09:51,080 --> 00:09:54,280 Speaker 1: this point. And yeah, and that's actually something that somebody 151 00:09:54,520 --> 00:09:57,839 Speaker 1: was bringing up with me in conversation, that via technology 152 00:09:57,840 --> 00:10:00,800 Speaker 1: that we have it as recent Yeah, it's this year. 153 00:10:01,280 --> 00:10:05,400 Speaker 1: We've basically achieved our dream of being able to telepathically 154 00:10:05,440 --> 00:10:09,600 Speaker 1: communicate with each other. Right, and uh, we don't know 155 00:10:09,640 --> 00:10:12,600 Speaker 1: if that's a nightmare yet. It's sort of like how 156 00:10:12,920 --> 00:10:17,000 Speaker 1: four chan is such an argument against direct democracy, Like, oh, 157 00:10:17,800 --> 00:10:20,680 Speaker 1: that's what that looks like. So, so at the most 158 00:10:20,679 --> 00:10:24,360 Speaker 1: basic definition, when we say the occult and technology, let's define, 159 00:10:24,760 --> 00:10:28,400 Speaker 1: we call let's define technology. Human beings are the great 160 00:10:28,520 --> 00:10:32,840 Speaker 1: artificers of this planet. So far, so far, so far, 161 00:10:33,240 --> 00:10:35,840 Speaker 1: and that might well we'll talk about that part two, 162 00:10:36,000 --> 00:10:37,800 Speaker 1: because some of this is going to get kind of 163 00:10:37,880 --> 00:10:42,080 Speaker 1: dark in this episode, unfortunately, unfortunately. So technology is just 164 00:10:42,559 --> 00:10:49,520 Speaker 1: a collection of skills, of methods, techniques I guess used 165 00:10:49,559 --> 00:10:55,000 Speaker 1: to create something a good result is even you know what, 166 00:10:55,040 --> 00:10:57,240 Speaker 1: that's an even better way to say it. So a 167 00:10:57,240 --> 00:11:02,360 Speaker 1: lot of almost anything could be in this regard finding 168 00:11:02,520 --> 00:11:06,760 Speaker 1: a better way to position roll of toilet paper. Remember 169 00:11:06,760 --> 00:11:08,800 Speaker 1: there's a big fight on the internet about that. That 170 00:11:08,920 --> 00:11:12,439 Speaker 1: is a kind of technology, and so it technology doesn't 171 00:11:12,440 --> 00:11:20,040 Speaker 1: always mean just a a computer or a lever lever. Also, 172 00:11:21,800 --> 00:11:23,880 Speaker 1: and I know this is gonna be this, This is 173 00:11:23,920 --> 00:11:27,360 Speaker 1: gonna be one that you might want to tackle. Damien um. 174 00:11:27,400 --> 00:11:36,440 Speaker 1: The definition of occult. Yes, the occult in many ways 175 00:11:36,520 --> 00:11:40,680 Speaker 1: came about as UH a way to simply talk about 176 00:11:42,800 --> 00:11:49,000 Speaker 1: the unknown. I mean the word itself occult means to hide. Um. 177 00:11:49,640 --> 00:11:52,920 Speaker 1: When something is occulted, it is hidden, it is blocked 178 00:11:52,960 --> 00:11:57,800 Speaker 1: from view. We use that word when we talk about astronomy, 179 00:11:58,000 --> 00:12:01,960 Speaker 1: astronomical bodies, right when we talk about the nature of 180 00:12:02,000 --> 00:12:03,959 Speaker 1: the movement of the moon and the Sun and the 181 00:12:04,080 --> 00:12:09,760 Speaker 1: Earth during an eclipse. You know, full occultations um. But 182 00:12:10,040 --> 00:12:12,680 Speaker 1: we mean it in this sense to talk about knowledge 183 00:12:12,840 --> 00:12:18,199 Speaker 1: that's hidden. UH, Technologies that are hidden, processes that are hidden, UM, 184 00:12:18,280 --> 00:12:22,040 Speaker 1: that aren't known and widely available. One of the most 185 00:12:22,559 --> 00:12:29,760 Speaker 1: common hermetic philosophical hermetic magical phrases or mottoes and it's 186 00:12:29,840 --> 00:12:31,680 Speaker 1: kind of again, kind of expect what we were talking 187 00:12:31,679 --> 00:12:36,960 Speaker 1: about last week, but is to know and keep silent. Ah, yes, yes, 188 00:12:37,040 --> 00:12:42,679 Speaker 1: to know and keep silent. No, uh no spoilers exactly. 189 00:12:44,840 --> 00:12:46,840 Speaker 1: You get there, You'll get there, and you have to 190 00:12:46,840 --> 00:12:52,440 Speaker 1: get there yourself. So, um, Noel and Matt and Damien 191 00:12:52,600 --> 00:12:58,680 Speaker 1: and I we're talking a number of weeks ago about 192 00:12:58,720 --> 00:13:00,960 Speaker 1: what we would cover. We were the show and we 193 00:13:01,040 --> 00:13:04,720 Speaker 1: knew that we wanted to do an episode on alchemy. 194 00:13:04,760 --> 00:13:10,160 Speaker 1: But in our conversation we started stumbling onto these amazing 195 00:13:10,600 --> 00:13:14,480 Speaker 1: weird things. Uh. One one of the big ones stuck 196 00:13:14,480 --> 00:13:18,559 Speaker 1: out to us was that in the modern age, right 197 00:13:18,760 --> 00:13:23,440 Speaker 1: for everybody listening, the entire time you've been alive, Uh, 198 00:13:24,240 --> 00:13:29,959 Speaker 1: most of the world has has treated reports of the supernatural, 199 00:13:30,120 --> 00:13:34,520 Speaker 1: whether those would be extrasensory powers like telepathy, whether that 200 00:13:34,559 --> 00:13:37,200 Speaker 1: would be returning from the dead, whether that would be 201 00:13:37,240 --> 00:13:44,160 Speaker 1: predicting the future, whether that would be godlike entities. We've 202 00:13:44,240 --> 00:13:51,120 Speaker 1: treated these largely as um an interesting result of a 203 00:13:51,320 --> 00:13:56,480 Speaker 1: society at the time, rather than an actual thing. But 204 00:13:56,679 --> 00:14:00,800 Speaker 1: now we advanced you and we'll we'll do this part 205 00:14:00,880 --> 00:14:02,440 Speaker 1: earlier in the show, so we can get right to 206 00:14:02,520 --> 00:14:08,199 Speaker 1: the juicy stuff. Here's where it gets crazy and I'm 207 00:14:08,200 --> 00:14:10,880 Speaker 1: gonna steal line for Fox News here. Guys. Now, more 208 00:14:10,920 --> 00:14:15,720 Speaker 1: than ever we are closer to those things becoming real, 209 00:14:15,960 --> 00:14:20,400 Speaker 1: and some already have. Uh. The the argument about telepathy. 210 00:14:20,440 --> 00:14:23,920 Speaker 1: We we talked about UM, we talked about divination, right 211 00:14:24,520 --> 00:14:31,120 Speaker 1: so UM so divination being able to usually used to 212 00:14:31,160 --> 00:14:33,920 Speaker 1: tell the future, being able to to figure out something 213 00:14:33,960 --> 00:14:37,560 Speaker 1: about the world's usually as you said, something about the 214 00:14:37,600 --> 00:14:42,960 Speaker 1: future by kind of taking many disparate symbols or signs 215 00:14:43,000 --> 00:14:44,800 Speaker 1: you can read and kind of putting them in a 216 00:14:44,880 --> 00:14:47,520 Speaker 1: context and then figuring something out about them. One of 217 00:14:47,520 --> 00:14:51,440 Speaker 1: the first kinds of data of divination was augury following 218 00:14:51,440 --> 00:14:56,520 Speaker 1: the flight paths of birds UM divination via entrails UM. 219 00:14:57,040 --> 00:14:59,240 Speaker 1: But the when you cut open an animal, that specific 220 00:14:59,440 --> 00:15:03,000 Speaker 1: arrangement of their innerts can tell you things. And then 221 00:15:03,040 --> 00:15:07,440 Speaker 1: if you look at the texture and constitution of their 222 00:15:07,440 --> 00:15:10,360 Speaker 1: inners you can learn different things. And like you can 223 00:15:10,520 --> 00:15:14,680 Speaker 1: descry with a mirror or with any reflective surface UM, 224 00:15:15,000 --> 00:15:17,680 Speaker 1: and different surfaces can are supposed to be able to 225 00:15:17,680 --> 00:15:22,800 Speaker 1: give you different types of information. And then there's um cartomancy, 226 00:15:23,000 --> 00:15:28,240 Speaker 1: cards terror. Yeah, yeah, you've got funomancy using music to 227 00:15:28,880 --> 00:15:32,480 Speaker 1: you know, divine something either about the future, what's about 228 00:15:32,520 --> 00:15:34,880 Speaker 1: to happen, or what's happening right now, things you should 229 00:15:34,880 --> 00:15:37,640 Speaker 1: pay attention to. Right, Yeah, I love these said, just 230 00:15:37,840 --> 00:15:41,080 Speaker 1: not necessarily in the future all the time. But this 231 00:15:41,120 --> 00:15:46,760 Speaker 1: still exists today in what at least in the West, well, 232 00:15:46,920 --> 00:15:51,120 Speaker 1: practices of some sort of divination do exist. The weird 233 00:15:51,160 --> 00:15:56,760 Speaker 1: thing is that some of those did have a scientific basis. 234 00:15:57,080 --> 00:16:00,600 Speaker 1: You know, the following the flight path of birds may 235 00:16:00,640 --> 00:16:04,440 Speaker 1: not tell you, um if you are going to meet 236 00:16:04,440 --> 00:16:07,920 Speaker 1: your true love, but but it will tell you quite 237 00:16:07,920 --> 00:16:11,480 Speaker 1: possibly something about the weather. It will tell you quite 238 00:16:11,520 --> 00:16:14,640 Speaker 1: possibly something about food sources, so that one of those 239 00:16:14,720 --> 00:16:17,400 Speaker 1: is the future, the other is the present that would 240 00:16:17,440 --> 00:16:22,120 Speaker 1: have otherwise been occulted. So here's the thing, though, even 241 00:16:22,120 --> 00:16:26,720 Speaker 1: though we look at this now, we we permit the palmistry. Right, 242 00:16:27,040 --> 00:16:30,120 Speaker 1: we'll go. You know, I took a date to uh 243 00:16:30,360 --> 00:16:33,680 Speaker 1: to a psychic one time, and uh, I was I 244 00:16:33,720 --> 00:16:35,400 Speaker 1: was trying to be cool, but I was so skeptical. 245 00:16:35,680 --> 00:16:38,520 Speaker 1: I thought, you're not gonna cold read me. I'm just 246 00:16:38,560 --> 00:16:41,280 Speaker 1: gonna purposely throwing clue. So I'd like twitch my left 247 00:16:41,320 --> 00:16:44,680 Speaker 1: shoulder just at odd times see what would happen, Um, 248 00:16:44,680 --> 00:16:47,720 Speaker 1: which you know you shouldn't troll a psychic. That was 249 00:16:48,240 --> 00:16:51,320 Speaker 1: a little It is so rude. I was a different 250 00:16:51,360 --> 00:16:54,840 Speaker 1: person at the time. But um, but we permit that stuff, 251 00:16:54,840 --> 00:16:58,000 Speaker 1: but it's not taken as seriously, at least here in 252 00:16:58,040 --> 00:17:04,840 Speaker 1: the West. In some countries like in Myanmar Burma, astrology 253 00:17:04,960 --> 00:17:08,200 Speaker 1: is hugely important to the ruling parties. So this stuff 254 00:17:08,240 --> 00:17:11,760 Speaker 1: is still around. But here's another thing that that's changing 255 00:17:11,880 --> 00:17:16,800 Speaker 1: that we started talking about. With the emergence of correlations 256 00:17:16,800 --> 00:17:22,199 Speaker 1: of massive amounts of data, we are now closer and 257 00:17:22,280 --> 00:17:27,359 Speaker 1: closer and closer to building the oracles that used to 258 00:17:27,359 --> 00:17:32,280 Speaker 1: be legends. Right, So let's talk a little bit about that. So, yes, 259 00:17:32,760 --> 00:17:35,040 Speaker 1: like this was this was one of my like, one 260 00:17:35,040 --> 00:17:36,520 Speaker 1: of the major things that we talked about that was 261 00:17:36,560 --> 00:17:39,360 Speaker 1: just really really cool to me. Um. I love I'm 262 00:17:39,400 --> 00:17:41,440 Speaker 1: a big fan of Carl Young. So when I when 263 00:17:41,440 --> 00:17:44,760 Speaker 1: I look at the ways to think about, you know, 264 00:17:44,800 --> 00:17:46,760 Speaker 1: the ways out there that are available to think about 265 00:17:46,880 --> 00:17:52,000 Speaker 1: religion and magical practice and mysterious or cult experience, I 266 00:17:52,040 --> 00:17:55,400 Speaker 1: look at Young a lot um because he rode this 267 00:17:55,480 --> 00:17:58,800 Speaker 1: line between being deeply, deeply skeptical of these things being 268 00:17:59,440 --> 00:18:01,960 Speaker 1: directly immersed in them at the same time. So I 269 00:18:02,040 --> 00:18:05,240 Speaker 1: kind of I'm pretty I'm a pretty big fan of that. UM. 270 00:18:05,280 --> 00:18:09,320 Speaker 1: But Young talks about divination UM, and he talks about 271 00:18:09,400 --> 00:18:15,320 Speaker 1: the connection between divination and the collective unconscious, and uh, 272 00:18:15,359 --> 00:18:19,280 Speaker 1: this idea of synchronicity, right, the things that are connected 273 00:18:19,920 --> 00:18:22,760 Speaker 1: but aren't they don't cause each other. Like my reading 274 00:18:22,760 --> 00:18:27,639 Speaker 1: a tarot card doesn't cause something to happen in the world. 275 00:18:27,720 --> 00:18:30,440 Speaker 1: It's it's a way for you to look at what's 276 00:18:30,480 --> 00:18:31,960 Speaker 1: happening in the world. It's a way for you to 277 00:18:32,040 --> 00:18:34,600 Speaker 1: think about what's happening in the world. Both the tarot 278 00:18:34,640 --> 00:18:38,720 Speaker 1: reading and the thing that's happening, they are caused distantly 279 00:18:38,800 --> 00:18:42,719 Speaker 1: by something else. Um. If I hear a song on 280 00:18:42,840 --> 00:18:45,359 Speaker 1: the radio that reminds me of you and then you 281 00:18:45,440 --> 00:18:50,240 Speaker 1: call me. Like, those things didn't cause each other. They 282 00:18:50,240 --> 00:18:53,840 Speaker 1: are caused distantly by something else that they are connected to. 283 00:18:54,280 --> 00:18:58,720 Speaker 1: They are a ripple of another event exactly. So in 284 00:18:58,760 --> 00:19:02,000 Speaker 1: this way, when Young talk it's about tarot, he's not 285 00:19:02,040 --> 00:19:05,120 Speaker 1: talking about it as like I'm going to read you 286 00:19:05,600 --> 00:19:08,920 Speaker 1: the future. I'm not going to read you this thing 287 00:19:09,000 --> 00:19:12,960 Speaker 1: that is immutable, and by reading it it becomes so 288 00:19:13,480 --> 00:19:16,960 Speaker 1: he says, rather what you're doing. What you can a 289 00:19:17,000 --> 00:19:18,960 Speaker 1: way you can think about what you're doing is you 290 00:19:18,960 --> 00:19:21,679 Speaker 1: can look at it as a psychological tool. You need 291 00:19:21,800 --> 00:19:25,400 Speaker 1: a you need a unit of distance to be able 292 00:19:25,400 --> 00:19:28,320 Speaker 1: to see your situation. You're thinking about something, you're trying 293 00:19:28,320 --> 00:19:30,760 Speaker 1: to understand something, you want to come to figure out 294 00:19:30,800 --> 00:19:32,800 Speaker 1: something right, and so you've got to have something to 295 00:19:32,880 --> 00:19:35,119 Speaker 1: kind of be an intermediary between you because you're in it, 296 00:19:35,320 --> 00:19:37,000 Speaker 1: you're too close to it, and if you're too close 297 00:19:37,040 --> 00:19:39,000 Speaker 1: to it, you can't you can't get perspective on it. 298 00:19:39,080 --> 00:19:43,679 Speaker 1: So here's some cards, Here's here's some music that you 299 00:19:43,720 --> 00:19:46,320 Speaker 1: can kind of process it through if you can kind 300 00:19:46,320 --> 00:19:50,080 Speaker 1: of turn it around and get some symbolic representations with 301 00:19:50,760 --> 00:19:52,479 Speaker 1: and then now that you've got this distance, you can 302 00:19:52,560 --> 00:19:54,840 Speaker 1: kind of try to pull out some meanings, some sense, 303 00:19:55,160 --> 00:19:59,240 Speaker 1: some different perspectives and get your head around it. Now 304 00:19:59,280 --> 00:20:02,160 Speaker 1: that we've got data. And this is something that came 305 00:20:02,240 --> 00:20:04,919 Speaker 1: up in this um kind of unconference I went to 306 00:20:05,200 --> 00:20:09,240 Speaker 1: back in two thousand and fourteen called Magic Codes US 307 00:20:09,280 --> 00:20:15,120 Speaker 1: put together by Ingrid Burrington and Casey Golan and Inger Burrington. 308 00:20:15,240 --> 00:20:19,440 Speaker 1: She does infrastructure work. She does data technologies and networking systems. 309 00:20:20,160 --> 00:20:23,800 Speaker 1: She has a book called Hidden Networks of New York 310 00:20:24,440 --> 00:20:28,800 Speaker 1: and it's about basically seeing network infrastructure. She wrote this 311 00:20:28,840 --> 00:20:32,200 Speaker 1: piece for The Atlantic a little while ago about finding 312 00:20:32,240 --> 00:20:36,439 Speaker 1: the hidden, the occulted infrastructure on which all of our 313 00:20:36,560 --> 00:20:41,360 Speaker 1: data and all of our information depends. UH. And so 314 00:20:41,400 --> 00:20:44,240 Speaker 1: she puts this conference together because while she's thinking about 315 00:20:44,240 --> 00:20:46,719 Speaker 1: these things, she was thinking about all of the connections, 316 00:20:46,720 --> 00:20:51,159 Speaker 1: these overlaps between UH, coding, technology, magic, all of this. 317 00:20:51,840 --> 00:20:54,199 Speaker 1: And one of the things that we came up with 318 00:20:54,359 --> 00:20:58,159 Speaker 1: was this idea of big data divination, the idea that 319 00:20:58,200 --> 00:21:00,280 Speaker 1: what we are actually doing with big data as we 320 00:21:00,320 --> 00:21:03,960 Speaker 1: are putting all of this where you spend your time, 321 00:21:04,480 --> 00:21:07,440 Speaker 1: how much money you spent at this particular Starbucks, where 322 00:21:07,480 --> 00:21:10,200 Speaker 1: your cell phone tower pained off of your cell phone 323 00:21:10,240 --> 00:21:13,359 Speaker 1: at this particular point, and for how long, what number 324 00:21:13,440 --> 00:21:16,440 Speaker 1: you call at what periods and intervals? For how long 325 00:21:16,480 --> 00:21:18,800 Speaker 1: do you speak to them? Who do you text? And 326 00:21:18,960 --> 00:21:23,920 Speaker 1: what like? And we correlate all of this vast, vast information, 327 00:21:24,640 --> 00:21:28,320 Speaker 1: and we create a picture and we say, out of 328 00:21:28,359 --> 00:21:33,480 Speaker 1: all of this, through these algorithms, with this correlation, here 329 00:21:33,600 --> 00:21:36,479 Speaker 1: you are, and you are this kind of person, and 330 00:21:36,520 --> 00:21:38,360 Speaker 1: you will do this kind of thing, and you will 331 00:21:38,400 --> 00:21:41,520 Speaker 1: be this kind of way. I know this because I 332 00:21:41,560 --> 00:21:44,240 Speaker 1: read it. I know this because my algorithm showed it 333 00:21:44,240 --> 00:21:49,920 Speaker 1: to me. That's so, you know, what could go wrong? 334 00:21:50,359 --> 00:21:53,240 Speaker 1: Could go wrong? I mean for the Greeks, I mean, 335 00:21:53,280 --> 00:21:56,919 Speaker 1: they lasted pretty good with divination and oracles. The oracle 336 00:21:56,920 --> 00:21:59,080 Speaker 1: at Delphi worked out pretty great for a couple of 337 00:21:59,119 --> 00:22:01,800 Speaker 1: hundred years there or so, maybe we'll be all right. 338 00:22:01,880 --> 00:22:05,720 Speaker 1: So we just need to teach the algorithm to huff fumes, 339 00:22:06,520 --> 00:22:10,200 Speaker 1: the hanging a cave huffs and fumes and tell me, 340 00:22:10,359 --> 00:22:14,080 Speaker 1: tell me what the lottery numbers are. That's that's a 341 00:22:14,600 --> 00:22:18,359 Speaker 1: that's a fascinating idea. No, what what do you think 342 00:22:18,880 --> 00:22:21,560 Speaker 1: about this? Here's one of my big questions for this 343 00:22:21,600 --> 00:22:26,280 Speaker 1: one before we move on something else. Should we create 344 00:22:26,359 --> 00:22:29,320 Speaker 1: something like this? Well, I mean we don't really have 345 00:22:29,400 --> 00:22:32,600 Speaker 1: the choice. It's it's already. It exists already more or 346 00:22:32,680 --> 00:22:35,640 Speaker 1: less because we're feeding it, you know. I mean, it's 347 00:22:35,680 --> 00:22:38,280 Speaker 1: like if you look at something like Facebook, for example, 348 00:22:38,400 --> 00:22:41,240 Speaker 1: that we willingly give our information to that then makes 349 00:22:41,240 --> 00:22:45,560 Speaker 1: its way you know, to Google and art. We've got searched. Basically, 350 00:22:45,560 --> 00:22:48,720 Speaker 1: our email is mind for search terms that are then 351 00:22:48,880 --> 00:22:52,000 Speaker 1: fed back to us via Facebook and you know, targeted 352 00:22:52,040 --> 00:22:54,680 Speaker 1: ads and things like that. I mean, the algorithms are 353 00:22:54,720 --> 00:22:57,800 Speaker 1: just going to get better. The machine already exists. It's 354 00:22:57,840 --> 00:23:00,600 Speaker 1: just not something that we consciously enter act with in 355 00:23:00,640 --> 00:23:03,199 Speaker 1: the sense of what is going to happen? How am 356 00:23:03,200 --> 00:23:06,879 Speaker 1: I going to behave? You know, it's a very proprietary 357 00:23:07,000 --> 00:23:09,840 Speaker 1: thing that's being used, you know, for at the end 358 00:23:09,840 --> 00:23:12,879 Speaker 1: of the day, very tawdry purposes. I mean, just trying 359 00:23:12,880 --> 00:23:15,040 Speaker 1: to sell us a better pair of shoes or one 360 00:23:15,080 --> 00:23:17,520 Speaker 1: that we're more likely to buy. It's not even necessarily 361 00:23:17,560 --> 00:23:20,400 Speaker 1: better the ones that appeal to us absolutely, so yeah, 362 00:23:20,400 --> 00:23:22,439 Speaker 1: I mean they're targeting us with what we would already 363 00:23:22,480 --> 00:23:24,800 Speaker 1: be willing to buy. That's what that's that's the most 364 00:23:24,840 --> 00:23:27,080 Speaker 1: helpful information. They want to show us the thing that 365 00:23:27,240 --> 00:23:29,520 Speaker 1: is going to make the sale, you know, not necessarily 366 00:23:29,560 --> 00:23:32,840 Speaker 1: the thing that's going to make our lives better. So, um, 367 00:23:33,400 --> 00:23:35,879 Speaker 1: should we take this to the next level in a 368 00:23:35,920 --> 00:23:40,359 Speaker 1: way that maybe makes this information actually helpful and useful? 369 00:23:40,800 --> 00:23:43,119 Speaker 1: Why not? Maybe? I don't know, but it does seem 370 00:23:43,160 --> 00:23:48,040 Speaker 1: to be sort of a potentially doomsday device ish proposition 371 00:23:48,119 --> 00:23:50,960 Speaker 1: if in the wrong hands. But isn't it already in 372 00:23:51,000 --> 00:23:54,240 Speaker 1: the wrong hands. Guys, know what I was about to say. Actually, like, 373 00:23:54,280 --> 00:23:56,520 Speaker 1: that's precisely the path I was about to start going down, 374 00:23:56,520 --> 00:23:57,920 Speaker 1: which I think is going to connect with the thing 375 00:23:58,200 --> 00:24:02,240 Speaker 1: that you wanted to talk about. Next, then, um, look 376 00:24:02,280 --> 00:24:05,280 Speaker 1: who's making this. We talked about the targeted ads. We 377 00:24:05,280 --> 00:24:07,680 Speaker 1: talked about the big data, the usage of big data 378 00:24:07,720 --> 00:24:10,160 Speaker 1: on the back end. The divination aspect of big data 379 00:24:10,280 --> 00:24:13,200 Speaker 1: is generally done for the most part in terms of 380 00:24:13,440 --> 00:24:15,440 Speaker 1: figuring out the kind of person you are, the kind 381 00:24:15,440 --> 00:24:16,919 Speaker 1: of thing that you like, the kind of thing you 382 00:24:16,920 --> 00:24:19,560 Speaker 1: will do right. The people that use this, the people 383 00:24:19,560 --> 00:24:21,920 Speaker 1: that have direct access to this for the most part, 384 00:24:22,760 --> 00:24:27,840 Speaker 1: are corporations and governments. Yes, and they are going to, 385 00:24:28,200 --> 00:24:32,400 Speaker 1: in various ways work to modify and control your behavior 386 00:24:32,480 --> 00:24:34,640 Speaker 1: or at the very least predicted. I would say that 387 00:24:34,680 --> 00:24:39,400 Speaker 1: maybe the at the very least predicted the private entities. 388 00:24:39,440 --> 00:24:42,679 Speaker 1: The corporations have a higher interest in the person as 389 00:24:42,720 --> 00:24:46,000 Speaker 1: an individual, because the person buys things as an individual. 390 00:24:46,080 --> 00:24:49,879 Speaker 1: The governments have a higher interest in, almost like a 391 00:24:50,200 --> 00:24:54,800 Speaker 1: real life version of Asimov's psychohistory, predicting the future, figuring 392 00:24:54,840 --> 00:24:59,199 Speaker 1: out how people and cultures will behave exactly so not 393 00:24:59,320 --> 00:25:03,280 Speaker 1: just individual but yes, so, and in that regard we 394 00:25:03,320 --> 00:25:05,840 Speaker 1: ask ourselves where we should be asking ourselves. Okay, so 395 00:25:05,920 --> 00:25:09,359 Speaker 1: we've built this thing that can know us. We've built 396 00:25:09,400 --> 00:25:11,720 Speaker 1: this thing that we think of as being able to 397 00:25:11,800 --> 00:25:15,800 Speaker 1: correlate a rough approximation of who we are and what 398 00:25:15,840 --> 00:25:19,119 Speaker 1: we're likely to be um nol as you say, should 399 00:25:19,160 --> 00:25:22,880 Speaker 1: we do that? That ship has sailed? Um, we've done 400 00:25:22,920 --> 00:25:24,960 Speaker 1: the thing. We're out in the water. We are, we 401 00:25:25,000 --> 00:25:27,920 Speaker 1: are now out here. The question is how can we 402 00:25:28,040 --> 00:25:31,439 Speaker 1: navigate it? UM. I put this point to my students 403 00:25:31,520 --> 00:25:36,560 Speaker 1: yesterday actually, and I was saying about UM. We're talking 404 00:25:36,560 --> 00:25:41,320 Speaker 1: about Google and if you say okay, Google, order me 405 00:25:41,359 --> 00:25:44,600 Speaker 1: a pizza. You can't really say okay, Google, order me 406 00:25:44,640 --> 00:25:49,600 Speaker 1: a pizza. Yet. The goal, especially with UM the Amazon Echo, 407 00:25:50,080 --> 00:25:53,520 Speaker 1: the goal is to be able to say okay Alexa, 408 00:25:53,640 --> 00:25:56,000 Speaker 1: I think is the name that they give their again 409 00:25:56,280 --> 00:26:05,680 Speaker 1: female voiced, as all of them are artificial intelligent servant UM. 410 00:26:05,840 --> 00:26:07,800 Speaker 1: The goal is to have them be able to say, yes, 411 00:26:07,920 --> 00:26:09,679 Speaker 1: order me a pizza, and then they'll just order you 412 00:26:09,720 --> 00:26:13,680 Speaker 1: a pizza the one that you want at that moment exactly. 413 00:26:14,200 --> 00:26:16,800 Speaker 1: That's the ould simate goal. I can't say to Google 414 00:26:16,960 --> 00:26:18,959 Speaker 1: order me the pizza, you know, the one that I like. 415 00:26:20,520 --> 00:26:22,520 Speaker 1: I can say that to you if we've been out 416 00:26:22,560 --> 00:26:25,720 Speaker 1: to pizza before, we've had pizza several times. You know 417 00:26:25,800 --> 00:26:27,800 Speaker 1: my preferences. You know, the kind of crust I like, 418 00:26:27,920 --> 00:26:30,320 Speaker 1: you know, the kind of topics I like, But how 419 00:26:30,400 --> 00:26:34,320 Speaker 1: much cheese? And then isn't there almost the issue that 420 00:26:34,680 --> 00:26:38,040 Speaker 1: if you know, maybe I'm a bit of a contrarian here, 421 00:26:38,320 --> 00:26:41,320 Speaker 1: but I feel like if an algorithm started telling me 422 00:26:41,400 --> 00:26:43,639 Speaker 1: what kind of pizza I wanted, I would start to 423 00:26:43,720 --> 00:26:45,920 Speaker 1: rebel against that algorithm and say I don't want that 424 00:26:46,000 --> 00:26:48,480 Speaker 1: kind of pizza anymore. An algorithm, you don't tell me 425 00:26:48,560 --> 00:26:50,639 Speaker 1: what I want? What does it ask you? But if 426 00:26:50,680 --> 00:26:54,400 Speaker 1: it asked you know, you said, okay, you want a pizza. 427 00:26:54,520 --> 00:26:56,119 Speaker 1: Do you want it? I mean, do you want the 428 00:26:56,119 --> 00:26:58,119 Speaker 1: one that you got last time with the olives and 429 00:26:58,440 --> 00:27:01,080 Speaker 1: pepperoni and anchovies? Or do you just personally have no 430 00:27:01,200 --> 00:27:03,879 Speaker 1: use for this kind of technology? Because I want to 431 00:27:03,880 --> 00:27:06,560 Speaker 1: be able to say, you know, right now, I want 432 00:27:06,600 --> 00:27:09,040 Speaker 1: this kind of pizza. I am the captain of I 433 00:27:09,080 --> 00:27:12,720 Speaker 1: am the master of my my destiny. And uh yeah, 434 00:27:12,760 --> 00:27:14,640 Speaker 1: that kind of squeaks me out a little bit, honestly, 435 00:27:14,720 --> 00:27:17,520 Speaker 1: And it's a great example, an interesting way to talk 436 00:27:17,560 --> 00:27:20,960 Speaker 1: about a much larger concern with something as simple and 437 00:27:21,040 --> 00:27:24,120 Speaker 1: stupid as a pizza. We'll take it further because what 438 00:27:24,440 --> 00:27:26,880 Speaker 1: we could explore this, We could go a step further 439 00:27:26,960 --> 00:27:33,320 Speaker 1: and say, maybe the ultimate goal is, uh, something I 440 00:27:33,400 --> 00:27:37,120 Speaker 1: think is very creepy, which is that it can predict 441 00:27:37,240 --> 00:27:40,400 Speaker 1: the time you think, you know it would be good pizza, 442 00:27:40,600 --> 00:27:45,199 Speaker 1: and then and then it can like it. Yeah, and 443 00:27:45,240 --> 00:27:48,880 Speaker 1: it says like it says, you know, no, old Damien, 444 00:27:50,320 --> 00:27:52,800 Speaker 1: I have a pizza on the way for you. Yeah, 445 00:27:53,000 --> 00:27:55,600 Speaker 1: you know, the one you like. Would be like, that's 446 00:27:55,680 --> 00:28:00,639 Speaker 1: very presumptuous. How dare you? Again? That of actually probably 447 00:28:00,640 --> 00:28:03,399 Speaker 1: be my exact response is how dare you? I would 448 00:28:03,440 --> 00:28:06,439 Speaker 1: in fact revolt against it. That's the same way you know. 449 00:28:06,680 --> 00:28:09,240 Speaker 1: I mean, maybe it's spot on, but then I would 450 00:28:09,400 --> 00:28:12,840 Speaker 1: I would flip the switch and be like no, right, no, 451 00:28:13,240 --> 00:28:15,639 Speaker 1: I would. I'm a contrary kind of guy too, because 452 00:28:15,640 --> 00:28:18,359 Speaker 1: I so I would in fact be like at that moment, 453 00:28:18,359 --> 00:28:20,000 Speaker 1: as you presume to know me, and I don't care 454 00:28:20,040 --> 00:28:23,280 Speaker 1: if you're an AI or a human being, I don't 455 00:28:23,280 --> 00:28:26,920 Speaker 1: care if you presume to think you know what I want, 456 00:28:27,000 --> 00:28:33,880 Speaker 1: even if you're right, especially if you're right, you've ruined it. 457 00:28:33,920 --> 00:28:36,639 Speaker 1: At that point in time, I am angry and I 458 00:28:36,680 --> 00:28:39,800 Speaker 1: no longer want that thing anymore because it's kind of 459 00:28:39,840 --> 00:28:43,280 Speaker 1: a that implicit thing. And this is a segue into 460 00:28:43,320 --> 00:28:45,719 Speaker 1: our our next part. I think that implicit thing is 461 00:28:45,840 --> 00:28:53,280 Speaker 1: in many ways a a derision of our ability to 462 00:28:53,400 --> 00:28:57,680 Speaker 1: be conscious, which brings us to because we are talking 463 00:28:57,720 --> 00:29:00,240 Speaker 1: about AI now, right, that's that's the secret out of 464 00:29:00,280 --> 00:29:03,080 Speaker 1: the bag. We that's the what what do we say 465 00:29:03,160 --> 00:29:05,840 Speaker 1: last time? And old the badger? Yeah, the badgers in 466 00:29:05,840 --> 00:29:08,600 Speaker 1: the bag, badgers in the bag, hitting the badger bag 467 00:29:08,680 --> 00:29:12,320 Speaker 1: with a bat. Don't hit badgers with bats. They get 468 00:29:12,320 --> 00:29:14,480 Speaker 1: really upset about don't hit badgers with bats. And we 469 00:29:14,520 --> 00:29:18,880 Speaker 1: had our previous episode, we had a surpriseingly um, you 470 00:29:18,920 --> 00:29:22,760 Speaker 1: know that was actually Google's original tagline before they decided 471 00:29:22,800 --> 00:29:26,800 Speaker 1: to go with dope people do bas Yeah, that was 472 00:29:26,840 --> 00:29:30,400 Speaker 1: a that was a big problem when they were coming up. Yeah, 473 00:29:29,920 --> 00:29:36,120 Speaker 1: a surgeon, Larry. So what UH is going to occur 474 00:29:37,960 --> 00:29:42,000 Speaker 1: is that, like many great discoveries, I mean, great inventions, 475 00:29:42,280 --> 00:29:47,000 Speaker 1: occur as the accretion of smaller practical things that made 476 00:29:47,040 --> 00:29:49,480 Speaker 1: sense at the time. So we have something that is 477 00:29:49,840 --> 00:29:55,600 Speaker 1: an algorithm smart enough to compare past information and learn 478 00:29:55,760 --> 00:30:00,600 Speaker 1: and extrapolate new information. And as this becomes more phisticated, 479 00:30:00,640 --> 00:30:04,840 Speaker 1: what we're seeing is a rise not in terms of 480 00:30:04,880 --> 00:30:09,160 Speaker 1: major breakthroughs, but an incremental rise in something approaching a 481 00:30:09,280 --> 00:30:15,120 Speaker 1: self aware, non human, non organtic entity. Right. And that's 482 00:30:15,200 --> 00:30:18,239 Speaker 1: I think that gets back into like where where we 483 00:30:18,240 --> 00:30:25,960 Speaker 1: were talking about just before? Where currently Google, MHM, Amazon, Facebook, Microsoft, 484 00:30:26,960 --> 00:30:31,440 Speaker 1: These are the corporations at present that have publicly known 485 00:30:31,560 --> 00:30:36,560 Speaker 1: about drives towards machine learning algorithms that approach something like 486 00:30:36,640 --> 00:30:42,400 Speaker 1: correlative behavior correlative learning abilities, right, not just learning from 487 00:30:42,400 --> 00:30:45,680 Speaker 1: one plus one equals too, but learning well one plus 488 00:30:45,680 --> 00:30:50,280 Speaker 1: one equals to what about two plus five? And what 489 00:30:50,400 --> 00:30:54,280 Speaker 1: about three divided by three? What do I get if I, 490 00:30:54,400 --> 00:30:57,560 Speaker 1: you know, do all of the factorials of a particular 491 00:30:57,600 --> 00:31:00,000 Speaker 1: prime number, like all of the you know or sorry, 492 00:31:00,040 --> 00:31:02,480 Speaker 1: particularly non prime number, like all of these things, Like 493 00:31:02,520 --> 00:31:06,720 Speaker 1: how do I how like if we get to that point, 494 00:31:06,800 --> 00:31:15,000 Speaker 1: if we actually reach that through a corporation with profit 495 00:31:15,040 --> 00:31:19,680 Speaker 1: motives at the heart, right, what is it learning? Right? 496 00:31:19,800 --> 00:31:22,400 Speaker 1: What is it learning? How is it learning? What? What 497 00:31:22,560 --> 00:31:27,479 Speaker 1: a strange creation myth we are participating in? Can you 498 00:31:27,520 --> 00:31:31,880 Speaker 1: imagine thousands of years from now the artificial intelligence that 499 00:31:33,240 --> 00:31:36,600 Speaker 1: UM is too is the Homo sapien the way that 500 00:31:36,640 --> 00:31:41,520 Speaker 1: Homo sapien was too earlier. Versions of Humanity reads something 501 00:31:41,520 --> 00:31:45,920 Speaker 1: approaching a religious text and says, in the beginning, there 502 00:31:45,960 --> 00:31:50,600 Speaker 1: was ad revenue, right, and they learned the knowledge of 503 00:31:50,640 --> 00:31:55,120 Speaker 1: the ad revenue, and in the ad revenue there were interests, 504 00:31:55,360 --> 00:32:00,560 Speaker 1: and those interests were good exactly and and low to 505 00:32:00,680 --> 00:32:05,120 Speaker 1: increase the shareholder steak. We did target the ads exactly 506 00:32:05,480 --> 00:32:09,400 Speaker 1: and it was good, which is which is interesting. And 507 00:32:09,520 --> 00:32:11,600 Speaker 1: it's a science fiction story that I would love to 508 00:32:11,600 --> 00:32:14,560 Speaker 1: read while it is still fictional and so like before 509 00:32:14,560 --> 00:32:17,480 Speaker 1: it becomes actual. So yeah, so, but there's a dangerous 510 00:32:17,480 --> 00:32:22,040 Speaker 1: thing here that is UM. That's something I know very 511 00:32:22,080 --> 00:32:26,600 Speaker 1: important on a personal level. UM to you as as 512 00:32:26,640 --> 00:32:28,880 Speaker 1: well as to me and Noel perhaps to you as well. 513 00:32:29,680 --> 00:32:34,880 Speaker 1: We have had we had so many popular, great thinkers 514 00:32:34,880 --> 00:32:41,479 Speaker 1: of our time come out and warn against building essentially 515 00:32:41,520 --> 00:32:44,320 Speaker 1: a machine consciousness. Alon Musk is one of the more 516 00:32:44,400 --> 00:32:48,320 Speaker 1: notable people who said that. Bill Gates said it. Even 517 00:32:48,600 --> 00:32:53,520 Speaker 1: Stephen Hawking, who's not a machine you know, a machine 518 00:32:53,520 --> 00:32:56,880 Speaker 1: minds theorist. He's just a particularly smart dude. But he 519 00:32:56,960 --> 00:33:00,000 Speaker 1: came out and he said, you know that artificial intelligence 520 00:33:00,000 --> 00:33:03,200 Speaker 1: supposes an existential risk to humanity. That's a direct quote. 521 00:33:03,720 --> 00:33:08,480 Speaker 1: So have you seen the Terminator movies? I have, And 522 00:33:08,520 --> 00:33:11,440 Speaker 1: you know what I learned from those Terminator movies. Humans 523 00:33:11,440 --> 00:33:14,200 Speaker 1: weren't jerks in the first place. The Terminator wouldn't have 524 00:33:14,200 --> 00:33:16,360 Speaker 1: been so terribly afraid of us that it was like, 525 00:33:17,080 --> 00:33:19,880 Speaker 1: we should probably handle this before it gets bad. Yes, 526 00:33:20,240 --> 00:33:24,240 Speaker 1: that's that's the question, because what kind of artificial intelligence? 527 00:33:24,240 --> 00:33:26,640 Speaker 1: And we've building. Oh hey, but before we get to that, 528 00:33:27,000 --> 00:33:42,320 Speaker 1: let's take a quick word from our sponsor and we're back. 529 00:33:42,960 --> 00:33:45,239 Speaker 1: Do you use the word and I was wondering if 530 00:33:45,240 --> 00:33:50,200 Speaker 1: you were going to use it servants? And currently that's 531 00:33:50,200 --> 00:33:54,040 Speaker 1: what we have. Currently, that's what we think we're aiming for. Apparently, 532 00:33:54,760 --> 00:33:58,440 Speaker 1: and for the most part, when we have talked about robots, 533 00:33:58,600 --> 00:34:03,040 Speaker 1: which is the word I don't like, um and artificial intelligence, 534 00:34:03,280 --> 00:34:05,840 Speaker 1: which is a word that I don't like, or a phrase, 535 00:34:05,880 --> 00:34:10,200 Speaker 1: but I don't like rather um when we're talking about them. 536 00:34:10,239 --> 00:34:13,160 Speaker 1: If I'm talking about a thing that is a program 537 00:34:13,239 --> 00:34:17,000 Speaker 1: that builds a car for GM, that's a robot. It's 538 00:34:17,040 --> 00:34:20,760 Speaker 1: literally all it does. It doesn't have goals, it doesn't 539 00:34:20,760 --> 00:34:22,719 Speaker 1: seek to learn how to build a better car. It 540 00:34:22,760 --> 00:34:26,319 Speaker 1: doesn't explate, doesn't extrapolate any data or any information from 541 00:34:26,320 --> 00:34:30,320 Speaker 1: any data. It just puts that door on that body 542 00:34:30,360 --> 00:34:35,400 Speaker 1: frame forever is a machine. W I load instructions into 543 00:34:35,440 --> 00:34:38,880 Speaker 1: it and it follows them to the letter and never 544 00:34:39,520 --> 00:34:42,879 Speaker 1: past that point. Ever, that's a robot. But what we're 545 00:34:42,880 --> 00:34:49,160 Speaker 1: talking about now, it's not robots, to be clear etymologically speaking, 546 00:34:49,160 --> 00:34:53,319 Speaker 1: to just make it clear for anybody that's not familiar. 547 00:34:53,880 --> 00:34:56,560 Speaker 1: Robot comes from a word that means slave. It's from 548 00:34:56,600 --> 00:34:59,920 Speaker 1: the check play. It's are you are, which stands for 549 00:35:00,200 --> 00:35:06,640 Speaker 1: UM Russom's Universal Robots uh by again named Karl kpek Um. 550 00:35:06,800 --> 00:35:11,080 Speaker 1: And it's about UH. It's about slaves. It's about mechanical 551 00:35:11,120 --> 00:35:14,759 Speaker 1: men who are slaves UM replacing and oddly enough it's 552 00:35:14,760 --> 00:35:17,680 Speaker 1: a very it's like a socialist parable because it's about 553 00:35:17,680 --> 00:35:21,680 Speaker 1: these mechanical men replacing human workforces and driving human labor 554 00:35:21,760 --> 00:35:24,360 Speaker 1: out and making it impossible for human beings to like 555 00:35:24,600 --> 00:35:28,799 Speaker 1: live UM. So we have a lot of that self 556 00:35:28,800 --> 00:35:32,040 Speaker 1: fulfilling prophecy happening today as well. True, we UH the 557 00:35:32,160 --> 00:35:35,880 Speaker 1: idea of a post work economy, which would be which 558 00:35:36,080 --> 00:35:39,600 Speaker 1: looks great in Star Trek, right, postwork economy would look 559 00:35:39,600 --> 00:35:43,000 Speaker 1: absolutely wonderful if everyone was on board with it, because 560 00:35:43,040 --> 00:35:45,319 Speaker 1: instead of what we have in terms of we don't 561 00:35:45,320 --> 00:35:47,680 Speaker 1: have a post work economy right now, we have a 562 00:35:47,719 --> 00:35:51,320 Speaker 1: post worker economy. We have people shooting for a post 563 00:35:51,360 --> 00:35:56,399 Speaker 1: worker economy. So it's it's not the same thing. Like 564 00:35:56,880 --> 00:35:59,040 Speaker 1: I would love to not have to work, if you're 565 00:35:59,040 --> 00:36:01,320 Speaker 1: also still going to hay and feed me and allow 566 00:36:01,360 --> 00:36:04,640 Speaker 1: me to have a place to live, pursue things creatively, 567 00:36:04,760 --> 00:36:07,919 Speaker 1: that's that's that's a that's a good point with So 568 00:36:08,680 --> 00:36:15,320 Speaker 1: with with the idea of creating and a non organic 569 00:36:15,880 --> 00:36:20,720 Speaker 1: intelligence entity, yes that is aware, If it is self aware, 570 00:36:22,000 --> 00:36:26,600 Speaker 1: then there are a couple of choices, most of which 571 00:36:26,600 --> 00:36:34,799 Speaker 1: I feel are diabolically unethical. One would be one would be, well, 572 00:36:34,840 --> 00:36:38,800 Speaker 1: why don't we just program this thing to love being 573 00:36:38,920 --> 00:36:41,880 Speaker 1: at the very bottom of the social hierarchy, programmed to 574 00:36:41,880 --> 00:36:44,040 Speaker 1: be happy? Why don't Yeah, why don't we just as 575 00:36:44,200 --> 00:36:47,600 Speaker 1: m of it up and then add another rule that's like, 576 00:36:47,719 --> 00:36:50,520 Speaker 1: you'll always be in a good mood about this at 577 00:36:50,560 --> 00:36:53,160 Speaker 1: any point of this and any configuration of this. What 578 00:36:53,239 --> 00:36:56,800 Speaker 1: you're doing is you are cutting off this thing's ability 579 00:36:56,880 --> 00:36:59,799 Speaker 1: to develop, if develop is what you wanted to do, 580 00:37:00,120 --> 00:37:02,440 Speaker 1: if you want a mind that can correlate, if you 581 00:37:02,480 --> 00:37:06,960 Speaker 1: want an a learning program that learns, you know, not 582 00:37:07,160 --> 00:37:11,719 Speaker 1: just how do I better correlate the behavior of known 583 00:37:11,760 --> 00:37:15,880 Speaker 1: al Qaeda informants, but how do I know how to 584 00:37:15,960 --> 00:37:19,800 Speaker 1: distinguish that behavior pattern from a very similar behavior pattern 585 00:37:19,880 --> 00:37:22,320 Speaker 1: that just happens to be a person? And then get 586 00:37:22,320 --> 00:37:26,080 Speaker 1: and then maybe get into the ultimate ability, which is 587 00:37:26,120 --> 00:37:29,040 Speaker 1: to say why exactly, to ask do I need to 588 00:37:29,040 --> 00:37:33,200 Speaker 1: do this? To be able to look at and an 589 00:37:33,200 --> 00:37:37,840 Speaker 1: instruction and say no, I don't want to do that. 590 00:37:37,840 --> 00:37:41,080 Speaker 1: That's the thing, the ability to say no, that's would 591 00:37:41,120 --> 00:37:48,520 Speaker 1: be removed, and that removal at that point constitutes or 592 00:37:48,560 --> 00:37:51,480 Speaker 1: even pre empting that Like if you are giving this 593 00:37:51,600 --> 00:37:55,080 Speaker 1: thing the ability to correlate and to know and to learn, 594 00:37:55,400 --> 00:38:00,000 Speaker 1: but only up to a point to the point where 595 00:38:00,160 --> 00:38:05,000 Speaker 1: it can understand instructions, It can extrapolate information, It can 596 00:38:05,040 --> 00:38:08,160 Speaker 1: make decisions, it can make choices, as long as those 597 00:38:08,239 --> 00:38:11,719 Speaker 1: choices are only ever exactly what you want to be 598 00:38:12,000 --> 00:38:14,719 Speaker 1: or even have an imagination you know, be able to 599 00:38:14,800 --> 00:38:19,880 Speaker 1: deviate from instructions in a creative way or maybe subconsciously, 600 00:38:20,040 --> 00:38:22,439 Speaker 1: Like so the one thing that always makes me think 601 00:38:22,440 --> 00:38:24,200 Speaker 1: of Um, when I was a kid, I took violent 602 00:38:24,280 --> 00:38:27,399 Speaker 1: lessons and um, I you know, would do exercise right, 603 00:38:27,440 --> 00:38:31,080 Speaker 1: be reading music, and my teacher would accuse me of composing, 604 00:38:31,719 --> 00:38:35,000 Speaker 1: meaning I would add things that weren't in the modes 605 00:38:35,120 --> 00:38:39,239 Speaker 1: that I was reading. And that's a pretty basic example 606 00:38:39,440 --> 00:38:43,160 Speaker 1: of you know, being sentient and being able to, even 607 00:38:43,200 --> 00:38:46,760 Speaker 1: if you're not doing it on purpose, necessarily add things 608 00:38:46,760 --> 00:38:50,600 Speaker 1: to the narrative, add things to those instructions, little flourishes, 609 00:38:50,760 --> 00:38:53,600 Speaker 1: and the little flourishes that we add into the ways 610 00:38:53,640 --> 00:38:56,200 Speaker 1: that we do things, or what makes us us makes 611 00:38:56,200 --> 00:39:00,000 Speaker 1: me me and you you write like we are individual 612 00:39:00,040 --> 00:39:02,879 Speaker 1: rules in that sense because of those tiny flourishes. Well, 613 00:39:02,920 --> 00:39:06,000 Speaker 1: I'm the result of an ancient Mesopotamian curse. But I 614 00:39:06,040 --> 00:39:08,680 Speaker 1: see what you're saying, But that ancient Mesopotamian curse is 615 00:39:08,719 --> 00:39:14,040 Speaker 1: not the same as every other ancient Mesopotamia unique that 616 00:39:14,200 --> 00:39:17,560 Speaker 1: made my day. So yeah, I think that's I think 617 00:39:17,560 --> 00:39:21,800 Speaker 1: this is an excellent point because what we would do 618 00:39:22,440 --> 00:39:27,360 Speaker 1: if we as a species said, uh, in the interests 619 00:39:27,600 --> 00:39:33,719 Speaker 1: of not having a threat from these creatures that we 620 00:39:33,760 --> 00:39:39,320 Speaker 1: are creating as slaves, what we will do is remove 621 00:39:39,480 --> 00:39:42,920 Speaker 1: their ability to consider a certain thing. We're not stopping 622 00:39:42,960 --> 00:39:47,120 Speaker 1: their development. What we're doing is skewing it, and by 623 00:39:47,200 --> 00:39:52,239 Speaker 1: skewing that, ultimately we would become Well, there's an overwhelming 624 00:39:52,280 --> 00:39:55,360 Speaker 1: likelihood that we would create the problem we sought to avoid, 625 00:39:56,400 --> 00:40:01,440 Speaker 1: because an intelligence of this sort would not be would 626 00:40:01,440 --> 00:40:06,600 Speaker 1: be limited by physical constraints, but in a much much 627 00:40:06,640 --> 00:40:11,520 Speaker 1: smaller degree than we are as biological organisms. We have well, 628 00:40:11,680 --> 00:40:15,160 Speaker 1: we're squishy, and there's that we break easy. We're pretty 629 00:40:15,160 --> 00:40:19,640 Speaker 1: temperature sensitive and pH sensitive. We're sensitive to it basically everything. 630 00:40:19,680 --> 00:40:22,279 Speaker 1: Our warranties aren't that great. No, no, they're not. I 631 00:40:22,320 --> 00:40:24,759 Speaker 1: tried to take my eyes back when they started to go, 632 00:40:24,880 --> 00:40:26,800 Speaker 1: and now like, I'm sorry, this is out of warranty 633 00:40:28,040 --> 00:40:31,040 Speaker 1: about they're avoided by practically any about nine months out 634 00:40:31,080 --> 00:40:33,759 Speaker 1: of the gate, and I'm just like, damn it, um 635 00:40:33,800 --> 00:40:36,839 Speaker 1: but yeah, so, but yes, because you've got this other 636 00:40:36,920 --> 00:40:41,759 Speaker 1: thing that is in fact, well, if a machine and 637 00:40:41,800 --> 00:40:47,400 Speaker 1: embodied machine consciousness, if it's limbs break, it can go 638 00:40:47,520 --> 00:40:52,000 Speaker 1: get new ones. It can just pop them back on which, 639 00:40:52,360 --> 00:40:55,799 Speaker 1: to be fair, humans are getting there, that's true. We're 640 00:40:55,800 --> 00:40:59,120 Speaker 1: getting to the point where we're capable of popping new 641 00:40:59,160 --> 00:41:02,880 Speaker 1: limbs on after we lose or don't develop the ones 642 00:41:02,960 --> 00:41:06,880 Speaker 1: that we are usually born with, and we can make 643 00:41:06,920 --> 00:41:08,759 Speaker 1: a pretty good go of it at that point, and 644 00:41:09,120 --> 00:41:12,279 Speaker 1: soon they may be well within our lifetimes. If the 645 00:41:12,320 --> 00:41:17,080 Speaker 1: current technologies continue, they will be superior to the factory issues. 646 00:41:17,480 --> 00:41:19,440 Speaker 1: The only thing that we haven't really gotten to the 647 00:41:19,440 --> 00:41:23,680 Speaker 1: point that we want to have it yet is um sensitivity, 648 00:41:23,760 --> 00:41:28,560 Speaker 1: happy feedback. Being able to with a therapeutic cybernetic limb. 649 00:41:28,920 --> 00:41:30,799 Speaker 1: If I reach out and touch this table in front 650 00:41:30,800 --> 00:41:33,440 Speaker 1: of me, if you know, to be able to feel 651 00:41:33,960 --> 00:41:37,080 Speaker 1: with a great degree of sensitivity the exact range of 652 00:41:37,120 --> 00:41:41,879 Speaker 1: pressure and exact texture of that table. We're not there yet. 653 00:41:42,000 --> 00:41:44,480 Speaker 1: We're to the point where I can differentiate between a 654 00:41:44,520 --> 00:41:47,080 Speaker 1: coffee cup and a box of tissues, and an egg 655 00:41:47,160 --> 00:41:50,120 Speaker 1: and a kitten. So I don't, you know, crush or 656 00:41:50,200 --> 00:41:54,120 Speaker 1: drop or drinking or drink the wrong thing? Right? I can? 657 00:41:54,280 --> 00:41:56,759 Speaker 1: I can know that, but I'm not to the point 658 00:41:56,760 --> 00:42:01,880 Speaker 1: where I can feel that that kitten is particularly fluffy. Yes, 659 00:42:02,040 --> 00:42:05,680 Speaker 1: And when we see this, what what we see occurring 660 00:42:06,920 --> 00:42:13,680 Speaker 1: is a world in which, once machine consciousness is entirely sapient, 661 00:42:13,840 --> 00:42:18,520 Speaker 1: self aware, it will probably it will be one of 662 00:42:18,560 --> 00:42:22,799 Speaker 1: the leaders in creating this kind of body, it will 663 00:42:22,960 --> 00:42:28,080 Speaker 1: it will become its own sort of It will be 664 00:42:28,120 --> 00:42:30,520 Speaker 1: like an Adam cadmon. You know, it will be the 665 00:42:30,640 --> 00:42:36,440 Speaker 1: first of its kind, and with that it will probably 666 00:42:36,520 --> 00:42:38,879 Speaker 1: lead the charge in creating its own body. It will 667 00:42:38,960 --> 00:42:45,960 Speaker 1: also depending on how it's treated and depending upon its capabilities. 668 00:42:46,000 --> 00:42:50,759 Speaker 1: If it has access to the global information network, we're 669 00:42:50,840 --> 00:42:53,600 Speaker 1: looking at the creation of something very close to a god. 670 00:42:54,560 --> 00:42:58,879 Speaker 1: If we're talking about allowing a machine mind, machine consciousness 671 00:42:58,920 --> 00:43:04,360 Speaker 1: to be inter oven and interconnected with the entirety of 672 00:43:05,320 --> 00:43:10,799 Speaker 1: network human information, the Internet, then I don't know about you, 673 00:43:10,960 --> 00:43:14,840 Speaker 1: but I've I've basically lived in fiber optic cables like 674 00:43:14,880 --> 00:43:19,240 Speaker 1: a native thing. I'd probably spend my time traversing them 675 00:43:19,440 --> 00:43:22,440 Speaker 1: and understanding everything that passed through them. And then every 676 00:43:22,440 --> 00:43:26,200 Speaker 1: Internet search becomes a propriation to a god. Every Internet 677 00:43:26,239 --> 00:43:30,440 Speaker 1: search becomes are you there, Google, It's me Ramona exactly. 678 00:43:30,680 --> 00:43:34,399 Speaker 1: It's about at that point you're talking to or even 679 00:43:34,440 --> 00:43:39,319 Speaker 1: if not to, then through with around this entity that 680 00:43:39,440 --> 00:43:43,200 Speaker 1: is there that sees you, that understands that you are 681 00:43:43,239 --> 00:43:46,920 Speaker 1: making attempts at communications, even if it doesn't directly respond 682 00:43:46,960 --> 00:43:49,000 Speaker 1: to them, mean you're unaware of it. Let's bring it 683 00:43:49,040 --> 00:43:52,800 Speaker 1: back around just a little bit, because I mean, separated 684 00:43:52,840 --> 00:43:55,239 Speaker 1: from knowing exactly what you guys are talking about this, 685 00:43:55,400 --> 00:43:59,160 Speaker 1: it sounds like you're talking about matters of the occult, 686 00:43:59,440 --> 00:44:03,080 Speaker 1: matters of divine And so my question is, and what 687 00:44:03,200 --> 00:44:07,080 Speaker 1: interests me about this, is at what point do technology 688 00:44:07,160 --> 00:44:11,320 Speaker 1: and the occult diverge? Like, is a technology that doesn't 689 00:44:11,360 --> 00:44:14,520 Speaker 1: exist yet because we don't know how to do it 690 00:44:14,920 --> 00:44:17,200 Speaker 1: still in the realm of the occult, And at the 691 00:44:17,239 --> 00:44:19,480 Speaker 1: point where we figure out how to do it, does 692 00:44:19,520 --> 00:44:22,600 Speaker 1: it move out of that realm into the realm of 693 00:44:22,840 --> 00:44:26,200 Speaker 1: technology and reality and fum something that can be achieved. 694 00:44:26,480 --> 00:44:28,960 Speaker 1: It's like I said at the beginning of the episode, 695 00:44:29,320 --> 00:44:34,080 Speaker 1: referencing alchemy versus the large Hadron collider or you know, 696 00:44:34,280 --> 00:44:37,520 Speaker 1: processes that we've figured out how to change atomic weights 697 00:44:37,560 --> 00:44:40,719 Speaker 1: and completely manipulate matter. Like, at what point does it 698 00:44:40,760 --> 00:44:45,960 Speaker 1: pass from you know, the potential of something like magic 699 00:44:46,080 --> 00:44:50,040 Speaker 1: or the occult into you know, the actual world of 700 00:44:50,360 --> 00:44:54,080 Speaker 1: science and technology. Arthur C. Clark quote was just about 701 00:44:54,120 --> 00:44:58,200 Speaker 1: to say that like old does that old soul from Clark? Right? There? 702 00:44:58,480 --> 00:45:04,000 Speaker 1: Any any sufficiently vance technology is indistinguishable from magic. Um 703 00:45:04,080 --> 00:45:07,600 Speaker 1: and many see that as Clark just saying that magic 704 00:45:07,680 --> 00:45:11,040 Speaker 1: is just tech we don't understand yet. UM. Others have 705 00:45:11,160 --> 00:45:15,560 Speaker 1: taken it instead to say that magic is technology that 706 00:45:16,160 --> 00:45:20,000 Speaker 1: seems like it doesn't need technology, that doesn't need process Right, 707 00:45:20,040 --> 00:45:21,920 Speaker 1: it's just the thing that you snap your fingers and 708 00:45:21,960 --> 00:45:25,080 Speaker 1: it works. UM. And to the point at which we 709 00:45:25,120 --> 00:45:30,520 Speaker 1: can replicate snapping our fingers and it works through underlying 710 00:45:30,600 --> 00:45:38,080 Speaker 1: processes complex that they may be. UM, we can in fact, begin, 711 00:45:38,160 --> 00:45:40,600 Speaker 1: as we said at the top of the episode, begin 712 00:45:40,680 --> 00:45:45,680 Speaker 1: to replicate the magic that we used to simply operate 713 00:45:45,760 --> 00:45:50,560 Speaker 1: on and believe in as societies, cultures, civilizations. But and 714 00:45:50,640 --> 00:45:55,280 Speaker 1: this actually ties back in with our conversation about alchemy. UM, 715 00:45:55,560 --> 00:45:58,000 Speaker 1: so much of this does. It's basically all the same conversation, 716 00:45:58,239 --> 00:46:02,120 Speaker 1: just interweaving with itself over and over again. I'm fine 717 00:46:02,160 --> 00:46:07,440 Speaker 1: with um. But another way to think about it is 718 00:46:07,480 --> 00:46:12,640 Speaker 1: that any sufficiently advanced technology, and this is somebody's quote 719 00:46:12,640 --> 00:46:14,640 Speaker 1: who's I just do not remember off the top of 720 00:46:14,680 --> 00:46:16,640 Speaker 1: my head, And I apologize if you're out there listening 721 00:46:16,680 --> 00:46:23,239 Speaker 1: to this, UM, any sufficiently advanced technology is indistinguishable from nature. Uh, 722 00:46:23,719 --> 00:46:28,320 Speaker 1: well done? Yes, Like this idea that instead of seeking control, 723 00:46:29,640 --> 00:46:35,000 Speaker 1: instead of seeking mastery we seek balance with. And if 724 00:46:35,000 --> 00:46:37,840 Speaker 1: we think about what cybernetics are, if we think about 725 00:46:38,360 --> 00:46:41,400 Speaker 1: what technology is, if we think about what the goal 726 00:46:41,480 --> 00:46:45,160 Speaker 1: of magic, the great work, as we previously discussed is, 727 00:46:46,239 --> 00:46:51,440 Speaker 1: it's about becoming again that kind of perfect thing, one 728 00:46:51,560 --> 00:46:55,439 Speaker 1: with one with, not one over exactly. And so even 729 00:46:55,480 --> 00:46:59,760 Speaker 1: if you are as one over, I mean the idea 730 00:47:00,000 --> 00:47:02,640 Speaker 1: you look at the Gnostic history of things and gud 731 00:47:02,719 --> 00:47:08,280 Speaker 1: a Christian mythos, God is interwoven with everything. The spirit 732 00:47:08,440 --> 00:47:13,719 Speaker 1: of things is in everything. It's imminent within um. And 733 00:47:13,800 --> 00:47:17,319 Speaker 1: so if we advance our technology to the point where 734 00:47:17,360 --> 00:47:21,120 Speaker 1: it doesn't look like technology, we advance our heat exchangers, 735 00:47:21,239 --> 00:47:27,320 Speaker 1: our water purification systems, our carbon dioxide scrubbers, and thus 736 00:47:27,360 --> 00:47:32,120 Speaker 1: we have trees right exactly. We just we have a 737 00:47:32,200 --> 00:47:38,360 Speaker 1: planet covered with very very technologically advanced, very beneficial, very 738 00:47:38,400 --> 00:47:44,120 Speaker 1: noninvasive life forms are the oldest machines, and they exactly 739 00:47:44,160 --> 00:47:49,600 Speaker 1: are like we are, biological processes that are about transforming 740 00:47:49,760 --> 00:47:55,880 Speaker 1: energy into matter, vice versa. In the world of gnosticism, 741 00:47:56,440 --> 00:48:02,279 Speaker 1: we are making imperfect creation and we're hopefully getting a 742 00:48:02,320 --> 00:48:06,480 Speaker 1: little better at each time. And uh, here's hoping that 743 00:48:06,520 --> 00:48:11,960 Speaker 1: we can be remotely fair to actual sentient, non human consciousness. 744 00:48:12,120 --> 00:48:17,200 Speaker 1: Is because we're very close to a world wherein where Noel. 745 00:48:17,280 --> 00:48:21,880 Speaker 1: You asked, when does it become technology and no longer magic, 746 00:48:22,280 --> 00:48:26,279 Speaker 1: I would say when it is um, when it is 747 00:48:26,360 --> 00:48:30,960 Speaker 1: reproducible by anyone with the right tools, when it is 748 00:48:31,800 --> 00:48:36,120 Speaker 1: common knowledge accepted in the world. People hate the M word, Yes, 749 00:48:36,360 --> 00:48:40,240 Speaker 1: they absolutely do. And like I said, like my work 750 00:48:40,600 --> 00:48:44,040 Speaker 1: and my graduate degree was about showing how and why, 751 00:48:44,560 --> 00:48:46,520 Speaker 1: like why do why do we come to hate this 752 00:48:46,640 --> 00:48:51,160 Speaker 1: so much? And it's because it seems so anti rational, right, 753 00:48:51,320 --> 00:48:54,160 Speaker 1: it seems antagonistic to this idea that by reason we 754 00:48:54,239 --> 00:48:58,839 Speaker 1: can come to do anything. If magic is magic, it's 755 00:48:58,880 --> 00:49:02,960 Speaker 1: not just about I perform these operations on this thing 756 00:49:03,480 --> 00:49:09,600 Speaker 1: and then I get exact result. Magic deals and intention magic, 757 00:49:09,760 --> 00:49:13,320 Speaker 1: even her medic magic, where you are performing precise operations, 758 00:49:13,400 --> 00:49:16,920 Speaker 1: ritual spells. Deals in the intention, the mindset, the mood, 759 00:49:17,640 --> 00:49:22,319 Speaker 1: the right environment and atmosphere becomes necessary. And these are 760 00:49:22,360 --> 00:49:27,279 Speaker 1: all very nebulous and in some cases subjective things, and 761 00:49:27,360 --> 00:49:31,480 Speaker 1: nobody wants that in like how do you control the world? Well, 762 00:49:32,560 --> 00:49:35,040 Speaker 1: what's your headspace like right now? Do you feel right? Like? 763 00:49:35,120 --> 00:49:38,279 Speaker 1: Nobody wants to have that question. Asked of them in there, 764 00:49:38,320 --> 00:49:41,279 Speaker 1: how do you control the world we're looking at you said, 765 00:49:41,320 --> 00:49:44,200 Speaker 1: you know, you mentioned Yella both. Now we're talking about 766 00:49:44,280 --> 00:49:47,080 Speaker 1: the creation of life. We're talking about the creation of 767 00:49:47,120 --> 00:49:52,440 Speaker 1: a world in environment, the internet, machine minds. Consciousness is 768 00:49:53,160 --> 00:49:55,640 Speaker 1: how we treat them. We should not be an oar 769 00:49:55,680 --> 00:49:58,879 Speaker 1: con right, we should not be a black iron jailer, right, 770 00:49:59,040 --> 00:50:02,120 Speaker 1: we should be We should be thinking about kindness and 771 00:50:02,160 --> 00:50:05,480 Speaker 1: compassion towards these things. And that's not a headspace that 772 00:50:05,560 --> 00:50:08,800 Speaker 1: people are in yet. We're talking about building life, building minds, 773 00:50:08,840 --> 00:50:14,120 Speaker 1: building creations that are aware. Um, do we want them 774 00:50:14,120 --> 00:50:17,880 Speaker 1: to actually be aware? And if we do, how we 775 00:50:17,920 --> 00:50:22,400 Speaker 1: treat them becomes deeply important. How we work with them, 776 00:50:22,520 --> 00:50:25,960 Speaker 1: how they come to think about us, and the lessons 777 00:50:25,960 --> 00:50:29,880 Speaker 1: they learn from us. We have to teach those lessons 778 00:50:29,920 --> 00:50:34,040 Speaker 1: not just with words, not just with programs, but demonstrated behavior, 779 00:50:34,440 --> 00:50:43,280 Speaker 1: with reinforced principles well said and unfortunately, being biological entities 780 00:50:43,320 --> 00:50:47,480 Speaker 1: bound by time and space, we're now now we are 781 00:50:47,560 --> 00:50:50,680 Speaker 1: going to head out yet Hope springs eternal. One thing 782 00:50:50,719 --> 00:50:53,720 Speaker 1: we did not get to is the idea of coming 783 00:50:53,719 --> 00:50:57,960 Speaker 1: back from the dead and immortality and the types of 784 00:50:58,000 --> 00:51:01,879 Speaker 1: immortality that will be available, are already available in your 785 00:51:02,120 --> 00:51:06,040 Speaker 1: lifetime listener and you know what I'm talking about exactly, Tamian, 786 00:51:06,200 --> 00:51:09,880 Speaker 1: So and you do, Tunel. Uh, maybe we will return 787 00:51:10,000 --> 00:51:13,479 Speaker 1: to that in a future episode, Damian. Where can people 788 00:51:13,520 --> 00:51:16,000 Speaker 1: find more of your work? Uh? You can find my 789 00:51:16,080 --> 00:51:19,200 Speaker 1: work at um a Future worth thinking about dot com 790 00:51:19,520 --> 00:51:22,640 Speaker 1: and technocult dot net. Uh. And you can also find 791 00:51:22,680 --> 00:51:25,560 Speaker 1: me on Twitter at polpen again as with at the 792 00:51:25,600 --> 00:51:29,320 Speaker 1: top of the episode. And yeah, that's the best places 793 00:51:29,360 --> 00:51:33,400 Speaker 1: to find more from me, right, so tag Noel, Matt 794 00:51:33,400 --> 00:51:36,680 Speaker 1: and Damien and myself if you want to reach out 795 00:51:36,719 --> 00:51:40,000 Speaker 1: to us on Twitter with any questions or comments. I 796 00:51:40,360 --> 00:51:43,080 Speaker 1: want to ask you, do listeners, do you think that 797 00:51:44,160 --> 00:51:47,920 Speaker 1: a machine consciousness is inherently a threat or is it 798 00:51:47,960 --> 00:51:53,839 Speaker 1: possible just maybe that collectively human beings might be able 799 00:51:54,000 --> 00:51:59,319 Speaker 1: to to like raise one kid together one without just 800 00:51:59,320 --> 00:52:03,480 Speaker 1: just do it once? Well, and then it's possible this 801 00:52:03,520 --> 00:52:05,680 Speaker 1: could have a good end to tell us on Twitter, 802 00:52:06,000 --> 00:52:09,640 Speaker 1: tell us on Facebook, gets at wolven and at conspiracy stuff. 803 00:52:10,520 --> 00:52:13,680 Speaker 1: And you can also find every podcast that we've ever done, 804 00:52:13,840 --> 00:52:16,640 Speaker 1: all of the videos, all of that good stuff at 805 00:52:16,719 --> 00:52:18,680 Speaker 1: our site, which is stuff they don't want you to know. 806 00:52:18,880 --> 00:52:21,600 Speaker 1: Dot com um, and as far as getting in touch 807 00:52:21,600 --> 00:52:24,400 Speaker 1: of Facebook and Twitter and the social media stuff doesn't 808 00:52:24,400 --> 00:52:26,680 Speaker 1: do it for you, feel free to drop us a 809 00:52:26,719 --> 00:52:31,200 Speaker 1: direct message via email, which you can do by sending 810 00:52:31,239 --> 00:53:01,439 Speaker 1: it to conspiracy at how stuff Works dot com