WEBVTT 1 00:00:00.400 --> 00:00:04.320 Welcome to the Occult Green Jacks. Tonight, we've got a 2 00:00:04.400 --> 00:00:07.559 very special guest, Ashih, who is going to tell us 3 00:00:07.599 --> 00:00:12.759 a lot of really deep intelligent stuff about AI and 4 00:00:12.839 --> 00:00:15.160 all all the rest of the stuff. He'll get into it, 5 00:00:15.519 --> 00:00:18.280 but first let's go to Nick. Nick, how you doing 6 00:00:18.359 --> 00:00:20.719 what you got coming out? Tell us about your herbal 7 00:00:21.160 --> 00:00:22.600 video that just popped out? 8 00:00:22.879 --> 00:00:23.839 Oh, thank you, thank you? 9 00:00:23.960 --> 00:00:26.000 Yeah that it seems like I seemed to be getting 10 00:00:26.039 --> 00:00:27.640 like you even mentioned good reviews are right, ab, we'll 11 00:00:27.640 --> 00:00:28.559 getting some good comments. 12 00:00:29.719 --> 00:00:31.160 It's a different way of looking at it. 13 00:00:31.239 --> 00:00:33.640 I do cover the like kind of the occult angle 14 00:00:33.679 --> 00:00:36.200 of the witchcraft angle, maybe even like a little bit 15 00:00:36.200 --> 00:00:37.799 of history, like I forgot what it might have been, 16 00:00:37.799 --> 00:00:40.399 peppermin or something, spearman something I was mentioning, like even 17 00:00:40.439 --> 00:00:43.799 I think in Greek Greek history of Greece they'd wear 18 00:00:43.840 --> 00:00:46.159 it around their heads, is like to help them study 19 00:00:46.280 --> 00:00:47.000 or something when they. 20 00:00:46.880 --> 00:00:48.600 Took tests, some random shit like that. 21 00:00:48.640 --> 00:00:50.719 Like and I'm throwing all that stuff in there, and 22 00:00:50.759 --> 00:00:53.520 then I'll go into how it actually affects your twelve 23 00:00:53.560 --> 00:00:56.079 cranial nerves and when you saw it seeing like when 24 00:00:56.119 --> 00:00:58.479 it's actually going to you your your you know your 25 00:00:58.560 --> 00:01:03.960 vegas system and your uh you're glad uh if it 26 00:01:04.040 --> 00:01:06.799 basically like the some effect like up to three at 27 00:01:06.799 --> 00:01:09.159 a time, and that gets pretty interesting when it starts 28 00:01:09.239 --> 00:01:13.319 doing that. You know your trigeminal, your vegas system, and 29 00:01:13.359 --> 00:01:14.879 maybe one or two one other one. 30 00:01:15.159 --> 00:01:17.760 But uh yeah, long story short. 31 00:01:18.599 --> 00:01:20.599 I think it's interesting for people to see like what 32 00:01:20.760 --> 00:01:24.439 some of these things actually do when you just inhale them, 33 00:01:24.599 --> 00:01:26.480 what kind of effects it's gonna have on your body 34 00:01:26.480 --> 00:01:29.319 and how you're gonna feel afterwards, and some of them 35 00:01:29.319 --> 00:01:32.079 that I even show, Uh, if you decide to just 36 00:01:32.120 --> 00:01:35.239 all of a sudden going crazy dosages with it, you'll 37 00:01:35.319 --> 00:01:38.120 notice it starts to shut your system down. And I 38 00:01:38.120 --> 00:01:41.000 start to wonder about that with maybe shamanistic rituals. 39 00:01:41.680 --> 00:01:45.280 You know, that's why you were fumigating that stuff, you know. 40 00:01:45.400 --> 00:01:47.400 So it's just interesting to see the kind of science 41 00:01:47.439 --> 00:01:49.599 with these things because you start to wonder, did they 42 00:01:49.680 --> 00:01:52.959 know this back then, because like the effects that you'll see, 43 00:01:53.000 --> 00:01:55.239 like that would be in like Scott Cunningham's book about 44 00:01:55.280 --> 00:01:57.599 what these herbs are gonna do for you, you can say, well, 45 00:01:57.599 --> 00:01:59.719 that's what it's doing to you fucking physically, just from 46 00:01:59.799 --> 00:02:03.239 hill or putting it on your skin, you know, so 47 00:02:03.280 --> 00:02:06.719 you almost wonder like were they were still getting it twisted? 48 00:02:06.840 --> 00:02:07.319 You know what I'm saying. 49 00:02:07.319 --> 00:02:09.680 It is still more science unfortunately with that stuff, and 50 00:02:09.719 --> 00:02:10.919 somehow it got woo wooed. 51 00:02:11.360 --> 00:02:11.560 You know. 52 00:02:11.680 --> 00:02:14.719 I don't know did we lose did we lose the original? 53 00:02:14.879 --> 00:02:17.439 I guess a cult cult idea behind it, something like that. 54 00:02:17.719 --> 00:02:20.159 So check it out. It is getting good reviews. I 55 00:02:20.199 --> 00:02:22.080 was a little surprised that actually has as many comments 56 00:02:22.120 --> 00:02:24.840 as it does now. So, uh yeah, it's got about 57 00:02:24.879 --> 00:02:27.800 three parts one drop today. We got a few other 58 00:02:27.840 --> 00:02:29.800 ones that will be coming out. I got part two 59 00:02:29.800 --> 00:02:34.080 of the Colors coming out. I should have Johannes Kepler 60 00:02:34.560 --> 00:02:36.560 dropping in like two weeks. I should be editing that 61 00:02:36.680 --> 00:02:38.000 up and that will be out. And I got into 62 00:02:38.039 --> 00:02:40.280 my park that should be dropping any within the week, 63 00:02:40.319 --> 00:02:43.759 I'm hoping. So yeah, we got a bunch of shit 64 00:02:43.840 --> 00:02:45.479 coming out. I have a bunch of stuff edited. I 65 00:02:45.560 --> 00:02:48.159 just haven't actually wrapped it all up yet. But uh yeah, 66 00:02:48.199 --> 00:02:50.120 then we do have some stuff going forward. We'll be 67 00:02:50.159 --> 00:02:54.000 covering the Stargate project next week. Again, it's gonna be 68 00:02:54.039 --> 00:02:56.280 a big group of the whole cult reject team we'll 69 00:02:56.319 --> 00:02:58.879 be here covering more of the Stargate or Gateway project, 70 00:02:59.120 --> 00:03:02.439 PaperWorks whatever was Yeah, so that should be interesting. 71 00:03:02.439 --> 00:03:03.520 So we got a lot of stuff coming. 72 00:03:04.400 --> 00:03:08.319 Thank you all right, sounds awesome, Ahi, Ish tell the 73 00:03:08.360 --> 00:03:11.400 people about what you've been through, tell them about who 74 00:03:11.479 --> 00:03:12.360 you are and what you do. 75 00:03:13.120 --> 00:03:16.439 Hi. Good to be back on guys. Thanks for having 76 00:03:16.479 --> 00:03:19.680 me in case you don't know me from the last 77 00:03:19.680 --> 00:03:22.960 times I was on here. My background, my name's Ashiesh. 78 00:03:23.120 --> 00:03:27.240 My background is in artificial intelligence and in finance. I 79 00:03:27.319 --> 00:03:29.919 spent ten years working in finance as a trader for 80 00:03:30.039 --> 00:03:33.479 Edward Jones Investments, and part of my responsibilities were covering 81 00:03:33.520 --> 00:03:36.879 tech at the time. After that, I transitioned full time 82 00:03:36.919 --> 00:03:40.680 into AI and I was specifically trying to apply AI 83 00:03:40.719 --> 00:03:43.599 to computer vision. And the presentation I want to give 84 00:03:43.639 --> 00:03:45.639 today is related to that because AI is a hot 85 00:03:45.680 --> 00:03:48.960 topic and I think one of the things that's happening, 86 00:03:49.080 --> 00:03:51.479 just like every other subject we've seen, there's a massive 87 00:03:51.520 --> 00:03:55.120 amount of distortion that's happening in AI, And what I 88 00:03:55.159 --> 00:03:57.840 want to do is I want to help people. So 89 00:03:58.000 --> 00:04:00.319 a lot of people think that AI is like a 90 00:04:00.400 --> 00:04:05.159 super advanced subject that's impossible to tackle or understand unless 91 00:04:05.199 --> 00:04:09.639 you have some kind of like background in computer science, 92 00:04:10.199 --> 00:04:13.400 and to be honest, it's not really necessary. I hope 93 00:04:13.400 --> 00:04:17.000 I can make this accessible for people to understand real AI. 94 00:04:17.720 --> 00:04:20.519 And I think it's really important that people understand this 95 00:04:20.680 --> 00:04:25.360 because there's so many profound things that are actually true 96 00:04:25.399 --> 00:04:29.759 about AI that are not really publicly discussed. And so 97 00:04:30.079 --> 00:04:33.319 one of the big topics that is kind of a 98 00:04:33.319 --> 00:04:35.279 big deal with AI and a lot of people who 99 00:04:35.279 --> 00:04:38.920 are like doomers on AI, they think that there's some 100 00:04:39.040 --> 00:04:42.600 kind of artificial life form that's about to be created, 101 00:04:43.120 --> 00:04:46.399 and this artificial life form will turned into the terminator 102 00:04:46.480 --> 00:04:50.879 or some apocalyptise scenario or something like that. Hopefully, what 103 00:04:50.959 --> 00:04:52.519 I can do here is bring a little bit of 104 00:04:52.600 --> 00:04:57.399 rationality this subject without getting overly technical. But there are 105 00:04:57.439 --> 00:04:59.680 a couple of technical concepts that I want to explain, no, 106 00:04:59.680 --> 00:05:04.600 I'll make it. And I also want to be able 107 00:05:04.639 --> 00:05:08.079 to show what real AI is and how you know 108 00:05:08.160 --> 00:05:11.480 what real AI is with versus what is not because 109 00:05:11.519 --> 00:05:14.720 there's a lot of junk AI out there. So let's 110 00:05:14.759 --> 00:05:20.600 just kind of start with like what is AI? Like fundamentally, 111 00:05:20.800 --> 00:05:26.399 at a kindergarten level, what is AI? AI is a 112 00:05:26.639 --> 00:05:31.439 mathematical function, and it is primarily based on a reward 113 00:05:31.680 --> 00:05:34.759 and cost. There's a function for reward that can be 114 00:05:34.800 --> 00:05:37.920 basically anything you want, and then there's a function for 115 00:05:38.199 --> 00:05:41.519 cost for that same reward, which can also basically be 116 00:05:41.600 --> 00:05:44.959 whatever you want. And the objective in AI is to 117 00:05:45.040 --> 00:05:50.040 make these two functions resemble real life as much as possible. 118 00:05:50.839 --> 00:05:53.680 So this is really what AI is. It's a type 119 00:05:53.680 --> 00:05:59.720 of pattern recognition map. And this pattern recognition map is intense. 120 00:06:00.319 --> 00:06:04.480 It's extremely large. Some of these models can have billions 121 00:06:04.519 --> 00:06:07.079 of weights, and I'll kind of explain a little bit 122 00:06:07.120 --> 00:06:12.160 about that. And because of the massive size of these models, 123 00:06:12.600 --> 00:06:17.519 they are also energy intents and the energy you may 124 00:06:17.560 --> 00:06:20.839 know in you know, in America, there's this huge push 125 00:06:20.920 --> 00:06:26.240 for energy investment. Weightly, we're spending trillions upon trillions of dollars, 126 00:06:26.319 --> 00:06:30.040 multiple trillions of dollars into both our energy grid and 127 00:06:30.279 --> 00:06:33.759 energy utilities. And then on top of that, AI as 128 00:06:33.800 --> 00:06:38.160 well is also independently receiving or trillions of dollars are 129 00:06:38.199 --> 00:06:44.279 independently being invested in AI. So there are two major 130 00:06:44.680 --> 00:06:50.000 energy intense aspects of AI. There is the training side, 131 00:06:50.480 --> 00:06:52.600 which is like what you do to build the model, 132 00:06:53.439 --> 00:06:56.720 and then there's the inference side, which is what happens 133 00:06:56.759 --> 00:06:59.800 after the model's already done you deployed it. There's people's 134 00:06:59.800 --> 00:07:02.519 hands and then they do a querry on something like chat, 135 00:07:02.560 --> 00:07:06.360 GPT or whatever, and then that quarry has a small 136 00:07:06.360 --> 00:07:09.279 amount of energy that's required to do this thing called inference, 137 00:07:09.319 --> 00:07:12.879 which then outputs your answer output to your result. Now, 138 00:07:13.000 --> 00:07:17.319 the training side is massive, and the inference side individually 139 00:07:17.639 --> 00:07:21.759 is very small, But where the massive energy constraint comes 140 00:07:21.759 --> 00:07:25.399 from is the scale. So once these developed models get 141 00:07:25.399 --> 00:07:29.759 deployed out into the world, the energy demand from the 142 00:07:29.800 --> 00:07:33.879 sum total of them all combined. That's where the energy 143 00:07:33.920 --> 00:07:37.360 intensity goes through the roof. So two sides that are 144 00:07:37.399 --> 00:07:40.839 heavily energy intense that are required in order to make 145 00:07:40.879 --> 00:07:44.199 AI work. So what you can see from this though, 146 00:07:44.360 --> 00:07:46.480 and what you should kind of interpret in your head 147 00:07:46.519 --> 00:07:49.519 just starting with this, is that if an AI model 148 00:07:49.639 --> 00:07:53.839 requires that much energy in order to generate the model 149 00:07:53.920 --> 00:07:56.720 and then be able to use it, you're probably in 150 00:07:56.759 --> 00:08:01.480 the vacuum stage, a vacuum tube stage, because this is 151 00:08:01.959 --> 00:08:06.920 nowhere near the efficiency of the compute that happens in 152 00:08:06.959 --> 00:08:09.160 the human brain. And I'm going to. 153 00:08:09.160 --> 00:08:12.240 Start relating hold on because I think this is a 154 00:08:12.240 --> 00:08:16.000 two way street. It's it's not only just taking everything 155 00:08:16.040 --> 00:08:20.879 that you're you know, sort of, it's not only taking 156 00:08:20.920 --> 00:08:24.720 your questions. It's taking all of the information together. So 157 00:08:24.800 --> 00:08:28.040 this is a massive data gathering tool as well as 158 00:08:28.040 --> 00:08:32.200 a data you know, output tool. Yeah, and that's the 159 00:08:32.200 --> 00:08:36.000 main sort of correlation that's being drawn here. I think 160 00:08:36.039 --> 00:08:40.919 they're sucking up a lot of core information, psychological information 161 00:08:40.960 --> 00:08:44.000 about each each one of us, how we interact with it. 162 00:08:44.679 --> 00:08:48.559 Yep. And the kind of that kind of description that 163 00:08:48.600 --> 00:08:52.039 you just gave that is most relevant to the concept 164 00:08:52.080 --> 00:08:55.799 of l ms, which are large language models. So this 165 00:08:55.960 --> 00:08:59.840 is like your chat Ebt, Gemini, crock whatever, take your 166 00:09:00.000 --> 00:09:03.720 flavor of the month. There's so many these things. This 167 00:09:03.840 --> 00:09:06.720 is a good, good thing you mentioned that, because what 168 00:09:06.799 --> 00:09:08.720 I want to show here, and one of the things 169 00:09:08.799 --> 00:09:12.039 that I'm hoping to promote, is that computer vision is 170 00:09:12.080 --> 00:09:17.080 a way better, more accurate version of AI than a 171 00:09:17.159 --> 00:09:21.159 large language model. So what I was going to say 172 00:09:21.159 --> 00:09:25.879 earlier was that I'm relating AI to the brain. And 173 00:09:25.919 --> 00:09:29.000 what I was originally trying to do here and when 174 00:09:29.000 --> 00:09:33.080 I was working on AI, was to model artificial intelligence 175 00:09:33.120 --> 00:09:35.559 off the human brain. So you're going to hear me 176 00:09:35.720 --> 00:09:39.159 relate to the human brain many times in this presentation. 177 00:09:39.320 --> 00:09:41.159 I'll get to that because that's a big part of 178 00:09:41.159 --> 00:09:43.320 what I'm doing here. So one of the things to 179 00:09:43.399 --> 00:09:46.279 know about that is that in a large language model, 180 00:09:46.320 --> 00:09:51.399 an LM is a pattern recognition math built around literally 181 00:09:51.519 --> 00:09:56.120 language text. And if you think about the human brain, 182 00:09:56.480 --> 00:09:59.159 the language center of the brain is a very small 183 00:09:59.240 --> 00:10:02.399 part of the brain right here over here. It's a 184 00:10:02.480 --> 00:10:05.919 very small part actually, And I'm not saying it's not important. 185 00:10:05.960 --> 00:10:09.279 A large language model and that technology is important, but 186 00:10:09.320 --> 00:10:11.519 that is not what's going to get you to this 187 00:10:11.679 --> 00:10:14.720 artificial life form. And that's controversial to say because there's 188 00:10:14.759 --> 00:10:17.000 so many people that think that a large language model 189 00:10:17.039 --> 00:10:20.159 will just suddenly become this artificial life form. But language 190 00:10:20.200 --> 00:10:23.399 is not a life that's not how language is a 191 00:10:23.440 --> 00:10:26.639 form pattern recognition math. And the easy way to understand 192 00:10:26.679 --> 00:10:29.960 this without having any understanding of the math behind it 193 00:10:30.039 --> 00:10:33.120 is if you walk into a room and there are 194 00:10:33.240 --> 00:10:36.879 ten people speaking different languages that you've never heard before, 195 00:10:37.240 --> 00:10:40.200 not languages that you don't understand but have heard before. No, no, no, 196 00:10:40.440 --> 00:10:43.799 languages that you've never heard before, and you will not 197 00:10:43.879 --> 00:10:47.600 be able to distinguish between all that noise one voice 198 00:10:47.639 --> 00:10:51.720 from another. However, if one of those ten people start 199 00:10:51.840 --> 00:10:55.440 speaking English in that room, all of a sudden, you'll 200 00:10:55.480 --> 00:10:58.559 be able to zone in on that wavelength and filter 201 00:10:58.679 --> 00:11:00.679 it out, and you'll be able to hear the English 202 00:11:01.120 --> 00:11:04.240 from the noise. This is how you know that language 203 00:11:04.279 --> 00:11:07.000 is a pattern recognition math and you're not born with language. 204 00:11:07.399 --> 00:11:11.679 Another thing to understand about language, two people in this 205 00:11:11.840 --> 00:11:17.360 world can hear the same sound and interpret something totally 206 00:11:17.399 --> 00:11:19.639 different from that sound. In other words, there can be 207 00:11:19.679 --> 00:11:22.159 a word in English and then another word in a 208 00:11:22.159 --> 00:11:24.600 different language that sounds exactly the same. That mean two 209 00:11:24.679 --> 00:11:28.759 totally different things. Two different people can understand two different 210 00:11:28.799 --> 00:11:31.399 things from this same sound. So this is how you 211 00:11:31.519 --> 00:11:35.279 know that language is an acquired skill. That is a 212 00:11:35.440 --> 00:11:39.039 form of pattern recognition. And this is not anything that 213 00:11:39.080 --> 00:11:42.279 you would call a life form. This is a talent, 214 00:11:42.559 --> 00:11:45.720 you could say, but it isn't a life form. And 215 00:11:45.799 --> 00:11:48.200 one of the other things is and I actually brought 216 00:11:48.240 --> 00:11:52.000 this up just so you could see in case anyone 217 00:11:52.039 --> 00:11:56.279 forgot from their seventh grade science class, but the definition 218 00:11:56.360 --> 00:12:01.320 of life to this day still does not include intelligence. 219 00:12:02.399 --> 00:12:09.440 And in my opinion, intelligence is equal to life these definitions. 220 00:12:09.480 --> 00:12:11.639 If you read what this is saying here on the screen, 221 00:12:11.679 --> 00:12:15.639 the actual definition of life, this sounds like primates trying 222 00:12:15.679 --> 00:12:19.759 to describe humans horribly. By the way, this is not 223 00:12:19.919 --> 00:12:23.279 the definition of life. If you take away reproduction, for example, 224 00:12:23.639 --> 00:12:26.799 is part of life. It is an essential element of 225 00:12:26.840 --> 00:12:29.759 what is considered life. If you took away reproduction from 226 00:12:29.799 --> 00:12:32.559 everything on Earth tomorrow, does that mean there's no life 227 00:12:32.600 --> 00:12:37.799 on Earth? That is how life works. So what I'm 228 00:12:37.840 --> 00:12:41.159 trying to argue here is that intelligence is part of 229 00:12:41.200 --> 00:12:47.159 the definition of life. And in case you're interested, there's 230 00:12:47.159 --> 00:12:49.039 something else that I want to say before I get 231 00:12:49.039 --> 00:12:51.679 into the actual formal presentation as a little set up here, 232 00:12:52.919 --> 00:12:58.120 So if you're interested in understanding more about intelligence and perception, 233 00:12:58.360 --> 00:13:01.200 my home basis perception. By the way, AI my focus 234 00:13:01.240 --> 00:13:07.759 area was perception. If you want to understand perception, it 235 00:13:07.799 --> 00:13:10.879 turns out, and what I'm going to demonstrate in this presentation, 236 00:13:11.000 --> 00:13:18.240 it turns out that computer vision by accident implicitly understands neuroscience. 237 00:13:19.360 --> 00:13:21.840 And I'll describe this in detail as I go through 238 00:13:21.840 --> 00:13:24.120 the presentation. But if you want to learn more about 239 00:13:24.120 --> 00:13:27.000 what I'm talking about on the neuroscience side, which I'm 240 00:13:27.000 --> 00:13:28.639 not going to do too much about. I'll talk mostly 241 00:13:28.639 --> 00:13:30.000 on the AI side, but if you want to learn 242 00:13:30.039 --> 00:13:34.159 more about the neuroscience side, I highly recommend this lecture series, 243 00:13:34.559 --> 00:13:36.799 and this one will break it down easy enough for 244 00:13:36.840 --> 00:13:42.200 you to understand some basic neuroscience about vision. So computer vision, 245 00:13:42.240 --> 00:13:44.559 in my opinion, doesn't get the rep that it deserves 246 00:13:44.720 --> 00:13:49.200 in AI. And here's something to note about all of this. 247 00:13:50.039 --> 00:13:52.000 So as I was saying, intelligence is not part of 248 00:13:52.000 --> 00:13:55.000 the definition of life, my dad was a neurologist and 249 00:13:55.039 --> 00:13:57.720 a psychiatrist, my mom is a pharmacist with a bunch 250 00:13:57.759 --> 00:13:59.840 of degrees and all this stuff. There's still disappointed that 251 00:13:59.840 --> 00:14:04.519 I'm not a doctor. And what what is interesting and 252 00:14:04.519 --> 00:14:09.320 what I've learned over the years is a two major things. 253 00:14:09.639 --> 00:14:14.240 So number one in evolution, one of the things, one 254 00:14:14.279 --> 00:14:18.039 of the first structures that was ever evolved was a 255 00:14:18.039 --> 00:14:24.039 photoreceptor attached to a flagella. A photoreceptor just says, so 256 00:14:24.120 --> 00:14:26.879 a flagella is a tail, and it was a photoreceptor 257 00:14:26.919 --> 00:14:29.080 was attached to it, and a photoreceptor it just says 258 00:14:29.080 --> 00:14:31.720 whether light exists or not, yes or no, one or zero. 259 00:14:32.480 --> 00:14:34.360 And so you can see that this is the beginning 260 00:14:34.360 --> 00:14:38.320 of binary map, whether light exists or does not exist. 261 00:14:39.240 --> 00:14:42.799 So another thing that is commonly known but often forgotten 262 00:14:43.600 --> 00:14:49.320 is that eyeballs are brain cells. So this is very 263 00:14:49.360 --> 00:14:53.759 important to understand. In the human eye, the ratio of 264 00:14:53.919 --> 00:14:58.360 cones uh they're there are these two types of uh self. 265 00:14:58.720 --> 00:15:03.480 There's these uh raw shaped cylinders which are gray and 266 00:15:03.519 --> 00:15:07.639 they determine grayscale. They determine basically opacity light light, the 267 00:15:07.720 --> 00:15:11.519 gradient of light, brightness of light, and grayscale. And then 268 00:15:11.600 --> 00:15:16.600 they have these cones RGB red, red, green, blue. The 269 00:15:16.720 --> 00:15:22.240 ratio on this is roughly twenty six three one. Roughly 270 00:15:22.320 --> 00:15:24.000 if you're a female, you'll probably have a little bit 271 00:15:24.039 --> 00:15:27.480 more blue, so twenty for twenty. The ratio of cones 272 00:15:27.519 --> 00:15:31.559 in the human eye is overweighted gray cylinders. Ratio of 273 00:15:31.600 --> 00:15:35.039 twenty on the gray, six on the red, three on 274 00:15:35.120 --> 00:15:37.759 the green, and then one or a little bit higher 275 00:15:37.799 --> 00:15:41.759 than one if you're female on the blue cones. So 276 00:15:41.840 --> 00:15:46.919 that's interesting. And what are the part that I'm going 277 00:15:46.960 --> 00:15:49.519 to skip in a neuroscience is about V one through 278 00:15:49.639 --> 00:15:53.639 V four cortex and the visual cortex. And this is 279 00:15:53.639 --> 00:15:56.159 outside of the you know, the purview of the presentation. 280 00:15:56.480 --> 00:15:59.240 But if you want to go deeper down the eyeball route, 281 00:16:00.200 --> 00:16:03.559 recommend after watching this presentation on the AI side. For me, 282 00:16:04.000 --> 00:16:06.080 if you want to understand what I was saying earlier 283 00:16:06.120 --> 00:16:09.679 about how computer vision experts implicitly, whether they know it 284 00:16:09.799 --> 00:16:15.480 or not, accidentally already understand the visual cortext just from 285 00:16:15.600 --> 00:16:20.200 computer vision, because computer vision is doing exactly what the 286 00:16:20.480 --> 00:16:24.159 visual cortex is doing exactly. It is literal, and I'm 287 00:16:24.159 --> 00:16:27.480 going to show published papers that demonstrate this. So what 288 00:16:27.519 --> 00:16:30.480 I'm saying is that computer vision in the modern day 289 00:16:31.159 --> 00:16:35.519 is mimicking the brain, and it is published and known, 290 00:16:35.679 --> 00:16:38.039 and computer vision experts, whether they know it or not, 291 00:16:38.639 --> 00:16:42.360 accidentally figured out the visual cortext and understand it implicitly. 292 00:16:42.840 --> 00:16:47.200 An example of this in computer vision, we understand why 293 00:16:47.279 --> 00:16:51.639 you want to use grayscale to detect motion. First, it's 294 00:16:51.759 --> 00:16:55.519 energy efficient and that's what happens in V one and 295 00:16:55.600 --> 00:17:01.159 that's why you have predominantly gray cylinders and your eyeball. 296 00:17:02.080 --> 00:17:05.759 And then there are functional purposes for RGB as well, 297 00:17:06.000 --> 00:17:10.200 and this is also discussed in computer vision. Okay, so 298 00:17:10.440 --> 00:17:13.319 that was a good like little preamble for the setup, 299 00:17:13.359 --> 00:17:15.319 and hopefully you're seeing that this is shit that no 300 00:17:15.359 --> 00:17:17.240 one's ever talked about. And this is real. 301 00:17:17.640 --> 00:17:20.720 AI, have you spent a lot of time? Go ahead, 302 00:17:22.599 --> 00:17:24.319 I was just gonna say, this is right up your all. 303 00:17:24.720 --> 00:17:28.440 He's upgraded all of these symbols in occultism directly to 304 00:17:28.519 --> 00:17:32.119 the eyeball, and the eyeball is so central to occultism 305 00:17:32.440 --> 00:17:35.720 in general. I mean it's in the word itself. And 306 00:17:36.359 --> 00:17:38.400 he breaks down all of these symbols and how they 307 00:17:38.480 --> 00:17:41.519 relate to stuff, and it's just like, yeah, it's brain tissue, 308 00:17:41.799 --> 00:17:43.240 this is what's programming. 309 00:17:43.720 --> 00:17:46.160 I also know the connection and spirituality, and I wasn't 310 00:17:46.200 --> 00:17:48.279 going to discuss it that much, but here's something to know. 311 00:17:48.519 --> 00:17:56.119 In the beginning, there was light and another thing about Yeah, 312 00:17:56.160 --> 00:17:57.960 I know a lot about that, but that's a whole 313 00:17:58.039 --> 00:17:59.880 wormhole and if I say something about it, we'll have 314 00:17:59.880 --> 00:18:02.559 to oh for like an hour. But in other words, yeah, 315 00:18:02.759 --> 00:18:07.759 there is it's it's there's a lot of indication that 316 00:18:08.119 --> 00:18:11.880 in religion that there was an understanding of evolution, especially 317 00:18:11.960 --> 00:18:15.119 in Hinduism, there was an understanding of evolution. And there's 318 00:18:15.160 --> 00:18:18.319 a lot of not just written documentation of this, but 319 00:18:18.319 --> 00:18:23.240 there's also archaeology that demonstrates this. Uh literal you can 320 00:18:23.279 --> 00:18:25.680 see it with your own eyes, thousands and thousands of 321 00:18:25.720 --> 00:18:28.680 years old, and they're demonstrating that they understood evolution and 322 00:18:28.720 --> 00:18:29.920 more beyond that. 323 00:18:30.279 --> 00:18:34.680 You know, it's real quick, you know, no, go ahead, 324 00:18:34.720 --> 00:18:36.200 let's go ahead, let's okay. 325 00:18:36.279 --> 00:18:40.160 Thees zinc calcium reaction at conception. It's a flash of light. 326 00:18:41.119 --> 00:18:43.440 Yeah, there's a Yeah, it's kind of like the Paho 327 00:18:43.519 --> 00:18:44.240 electric effect. 328 00:18:44.799 --> 00:18:46.680 But real quick, is she? I think it's interesting. 329 00:18:48.039 --> 00:18:48.240 You know. 330 00:18:48.279 --> 00:18:51.160 There was when a boy I think actually friends with 331 00:18:51.200 --> 00:18:54.799 them pravine. Uh, he was a cosmic summit. I went 332 00:18:54.839 --> 00:18:56.880 up to him and I said something to him. I 333 00:18:56.920 --> 00:18:58.359 was trying to explain to him. I was like, I know, 334 00:18:58.400 --> 00:19:00.799 like what you were showing on the screen, you were 335 00:19:00.799 --> 00:19:03.319 showing with something else. I said, but have you ever wondered, 336 00:19:03.400 --> 00:19:06.400 like if those are depictions of inside your rible? 337 00:19:07.759 --> 00:19:09.359 And he like like lost it. 338 00:19:09.319 --> 00:19:11.880 Like he like I looked like I literally like freaked 339 00:19:11.920 --> 00:19:13.440 him out to where. 340 00:19:13.279 --> 00:19:15.440 He like sat down and sat sat down to study 341 00:19:15.440 --> 00:19:16.000 eating his food. 342 00:19:16.000 --> 00:19:18.240 He's like, oh yeah, I was like, yo, I literally 343 00:19:18.240 --> 00:19:19.440 just bugged this guy the fuck out. 344 00:19:19.480 --> 00:19:21.720 But like you get it, you get it. 345 00:19:21.880 --> 00:19:25.200 Yeah, Pravine is one of my most favorite. 346 00:19:25.000 --> 00:19:26.720 Yeah, yeah, maybe you could maybe you could. Maybe you 347 00:19:26.759 --> 00:19:28.160 can tell that and he'll take it a little bit 348 00:19:28.200 --> 00:19:29.119 more serious, like. 349 00:19:29.119 --> 00:19:31.480 Oh, I've I've talked his ear off about this stuff. 350 00:19:31.519 --> 00:19:33.039 He's fully aware of everything. 351 00:19:33.079 --> 00:19:34.960 Oh, I don't know. He looked like he was bugged 352 00:19:34.960 --> 00:19:36.359 out when I said something to him, like he. 353 00:19:36.279 --> 00:19:41.319 Looked at that time. Oh okay if I had just 354 00:19:41.480 --> 00:19:43.200 met Pravine at that time, so he didn't know that 355 00:19:43.319 --> 00:19:45.599 much about me at that time. But we became good 356 00:19:45.599 --> 00:19:47.799 friends over time. Oh. Nice, I'm actually gonna go to 357 00:19:47.880 --> 00:19:50.119 Cambodia with him and a couple of months or a 358 00:19:50.160 --> 00:19:50.799 few months. 359 00:19:51.240 --> 00:19:52.000 Nice, that's awesome. 360 00:19:52.319 --> 00:19:53.559 Be careful of those planes. 361 00:19:54.960 --> 00:19:57.960 A lot of yeah, yeah, yoh. 362 00:19:58.000 --> 00:19:59.319 We'll have to get you on with Day to talk 363 00:19:59.319 --> 00:20:01.079 about the eyeball. I did like a five or six. 364 00:20:01.079 --> 00:20:03.119 I don't have many plots series with the cult symbolism 365 00:20:03.160 --> 00:20:04.240 in the eye, But if you ever want to come 366 00:20:04.240 --> 00:20:06.440 back on and talk about that ship, we're talking about. 367 00:20:06.279 --> 00:20:07.240 The eyeball at all. Day Man. 368 00:20:09.319 --> 00:20:10.640 A lot of my lot of all. 369 00:20:10.599 --> 00:20:13.400 My art, believe and I see the crossing of the arms. 370 00:20:13.400 --> 00:20:16.359 That's that's the crossing of the optic nerve. Like a 371 00:20:16.359 --> 00:20:18.640 lot of my art literally is depicting the inside of 372 00:20:18.640 --> 00:20:20.440 the eyeball, the one that I have like a chick. 373 00:20:20.480 --> 00:20:21.759 It looks like she's on a sea show. 374 00:20:22.200 --> 00:20:25.039 That's like the hyloid collac canal and the oriserata and 375 00:20:25.079 --> 00:20:28.279 then the ac humor underneath. I totally all my ship's 376 00:20:28.279 --> 00:20:30.519 all basically depicted on an eyeball on the brain man. 377 00:20:31.240 --> 00:20:34.240 And don't forget about the pineal gland, right, yeah, yeah, 378 00:20:34.319 --> 00:20:36.640 so we got all and then the third eye and everything. Yeah, 379 00:20:36.680 --> 00:20:42.160 there's quite a lot to do with vision. And uh, 380 00:20:42.599 --> 00:20:46.400 one of the how do I say so? One of 381 00:20:46.440 --> 00:20:48.839 the there's another thing that I want to discuss about 382 00:20:48.839 --> 00:20:52.039 evolution before I get into the formal presentation, and then 383 00:20:53.039 --> 00:20:55.720 we'll go from there. But one more thing about evolution. 384 00:20:55.920 --> 00:20:58.920 And I'm not sure how this happened, but for some 385 00:20:59.000 --> 00:21:04.240 reason in this zeitgeist, it is commonly thought or said 386 00:21:04.799 --> 00:21:11.559 that DNA is the cause of evolution. And this is 387 00:21:11.640 --> 00:21:14.960 just not true. There is no scientists saying that. The 388 00:21:15.000 --> 00:21:18.160 people who discovered DNA didn't say that. Darwin didn't say that. 389 00:21:18.519 --> 00:21:22.279 As far as I know, there is no official source 390 00:21:22.400 --> 00:21:29.440 anywhere that is saying that DNA causes evolution. DNA is 391 00:21:29.559 --> 00:21:34.880 the product of evolution, and that's why they're correlated, but 392 00:21:35.000 --> 00:21:38.440 correlation is not Causation is understood at kindergarten level, and 393 00:21:38.480 --> 00:21:40.680 as far as I know, no scientist is actually saying that. 394 00:21:40.720 --> 00:21:43.799 But for some reason in the psycheiasis is commonly thought 395 00:21:43.960 --> 00:21:48.599 that DNA causes evolution. This is not true, and there 396 00:21:48.640 --> 00:21:52.279 are it is academically understood and known. It is academically 397 00:21:52.359 --> 00:21:56.680 accepted that the brain has known mechanisms for controlling DNA. 398 00:21:56.880 --> 00:22:00.079 And even every in your everyday life, your DNA is 399 00:22:00.119 --> 00:22:03.480 not static. Things turn different, Switches turn on and off 400 00:22:03.480 --> 00:22:06.279 in your DNA all the time, and so and this 401 00:22:06.440 --> 00:22:09.880