1 00:00:02,400 --> 00:00:08,320 After I posted my class from last Thursday, my friend as well 2 00:00:08,320 --> 00:00:15,080 as teacher David Bromwich sent me an e-mail. 3 00:00:17,280 --> 00:00:20,560 And what we're going to do today is we're going to read his 4 00:00:20,560 --> 00:00:24,480 e-mail together. I asked for his permission and 5 00:00:24,480 --> 00:00:28,960 he said that it's OK for me to make public. 6 00:00:29,120 --> 00:00:32,320 Is emailed to me. OK so he said. 7 00:00:32,640 --> 00:00:36,360 I just watched your video. There's a thought I've been 8 00:00:36,360 --> 00:00:39,800 meaning to pass on and this latest talk crystallized it. 9 00:00:40,440 --> 00:00:43,560 You travel fast, your explanations with satisfying 10 00:00:43,560 --> 00:00:47,280 definiteness and say a lot of true things that timid people 11 00:00:47,440 --> 00:00:51,120 stay clear of. OK, So what he's saying is that 12 00:00:51,120 --> 00:00:55,120 my videos are getting very popular online because I provide 13 00:00:55,120 --> 00:00:59,560 some certainty, some clarity in a very unclear and uncertain 14 00:00:59,560 --> 00:01:04,000 time. The risk is simplification, 15 00:01:04,040 --> 00:01:07,200 which your audience won't quite recognize for what it is or 16 00:01:07,200 --> 00:01:09,800 won't unless you give occasional notice of the fact. 17 00:01:10,160 --> 00:01:14,880 OK, so this is a very fair criticism in that by seeing 18 00:01:14,880 --> 00:01:22,280 clarity, I oversimplify ideas. And sometimes when people see 19 00:01:22,280 --> 00:01:28,840 someone who's very confident, they don't really remember that 20 00:01:28,880 --> 00:01:33,720 a lot of this is speculation and oversimplification for the sake 21 00:01:33,720 --> 00:01:36,000 of clarity. So it's very important for us to 22 00:01:36,000 --> 00:01:40,080 remember this fact that this is a class about intellectual 23 00:01:40,080 --> 00:01:44,040 speculation. Here we explore ideas that are 24 00:01:44,040 --> 00:01:49,800 not explored anywhere else. And often I will wing it or I 25 00:01:49,800 --> 00:01:53,400 will make things up as I go along based on my intuition and 26 00:01:53,400 --> 00:01:57,080 based on my imagination. And it's very interesting, but 27 00:01:57,080 --> 00:02:00,760 it's not scholarship. And my friend David Bromwich, he 28 00:02:00,760 --> 00:02:03,120 is actually one of one of America's greatest scholars. 29 00:02:03,360 --> 00:02:06,120 So he's just reminding us of the fact that we have to be very 30 00:02:06,120 --> 00:02:10,720 careful that in the exploration of ideas we also want to be 31 00:02:10,720 --> 00:02:15,520 rigorous. I remarked something like like 32 00:02:15,520 --> 00:02:18,680 this early in talks on the rise of Germany, romanticism, 33 00:02:18,680 --> 00:02:20,400 etcetera. Yeah, so I do this a lot. 34 00:02:20,720 --> 00:02:23,640 You give memorable abridgements of the history of ideas and 35 00:02:23,640 --> 00:02:26,120 imagination. What needs underlying is the 36 00:02:26,120 --> 00:02:29,840 amount that is interpretation of an emphasis all your own. 37 00:02:30,160 --> 00:02:36,200 OK, so again, I hate to mind it when this, but this is all my 38 00:02:36,200 --> 00:02:40,560 speculation and I'm just presenting frameworks and ideas 39 00:02:40,840 --> 00:02:47,640 for you to explore by yourself, emphatically so, in your reading 40 00:02:47,640 --> 00:02:50,960 of paradise, laws and allegory of necessity, of transgression 41 00:02:50,960 --> 00:02:53,520 for the sake of knowledge, whereby Adam and Eve and Satan 42 00:02:53,560 --> 00:02:57,160 all become joint heroes of the fable that is Blake's reading 43 00:02:57,160 --> 00:02:59,760 and a powerful intuition. But it probably isn't a way most 44 00:02:59,760 --> 00:03:03,640 readers take the poem, let alone the canonical national reading 45 00:03:03,640 --> 00:03:07,960 to identify or 17th century New England and the US ever after. 46 00:03:07,960 --> 00:03:11,200 OK, so this is a very fair criticism and he should know 47 00:03:11,200 --> 00:03:17,120 because he is one of one of America's major professors of 48 00:03:17,120 --> 00:03:20,800 English literature. I study English literature under 49 00:03:20,800 --> 00:03:24,640 him and he's and he knows paradise laws very well. 50 00:03:24,880 --> 00:03:28,400 And he's actually right in that I am offering you a very 51 00:03:30,320 --> 00:03:33,680 minority interpretation of paradise laws. 52 00:03:34,040 --> 00:03:38,800 Why I'm doing so will be clear as this semester comes to an 53 00:03:38,800 --> 00:03:42,080 end, because for the rest of semester I want to focus on 54 00:03:42,480 --> 00:03:44,320 artificial intelligence and the occult. 55 00:03:44,760 --> 00:03:47,600 And so it's very important for us to understand occult ideas 56 00:03:47,840 --> 00:03:50,680 embedded in the great books such as Paradise Lost. 57 00:03:51,320 --> 00:03:54,080 OK, But again, this is a very fair criticism in that I'm not 58 00:03:54,080 --> 00:03:58,200 presenting to you the majority understanding of these texts, 59 00:03:58,200 --> 00:03:59,560 and I should have done that to begin with. 60 00:04:01,320 --> 00:04:04,320 You struck out on a more risky terrain in viewing a Jewish 61 00:04:04,320 --> 00:04:08,160 Gnostic duration from the Kabbalah as the national 62 00:04:08,160 --> 00:04:11,600 ideology of Israel. I know I noticed this material 63 00:04:11,600 --> 00:04:14,880 from Gershom Shalom's essay Redemption for Sin. 64 00:04:14,880 --> 00:04:18,880 OK, so Gershom Shalom is probably the most famous 65 00:04:18,880 --> 00:04:23,600 academic in Israel. He, he's no longer alive, but 66 00:04:23,600 --> 00:04:25,280 he's still the Kabbalah academically. 67 00:04:25,960 --> 00:04:28,040 And his interpretation of the Kabbalah is very much aligned 68 00:04:28,040 --> 00:04:32,320 with my own, even though I myself never read Gershom 69 00:04:33,120 --> 00:04:35,400 Shalom. And actually what's interesting 70 00:04:35,400 --> 00:04:38,880 is like Shalom, Shalom had a very huge influence on a man 71 00:04:38,880 --> 00:04:46,200 named Harold Bloom. Harold Bloom is or was America's 72 00:04:46,200 --> 00:04:49,640 greatest leader critic, and he had a huge influence on David 73 00:04:49,640 --> 00:04:52,720 Bromwich, who then had a huge influence on me. 74 00:04:53,240 --> 00:04:58,400 OK, it is an element of a set of religiosity so far as I know. 75 00:04:58,400 --> 00:05:01,800 Or consider the reception of the Torah any more than it was of a 76 00:05:01,800 --> 00:05:05,760 socialist idealism of the left Zionist of 1948 who set the 77 00:05:05,760 --> 00:05:09,080 political tone of Israel until 1967. 78 00:05:09,240 --> 00:05:13,040 Again, this is my problem where I should have gone into the 79 00:05:13,040 --> 00:05:19,600 different ideologies of Israel and shown that this Gnostic 80 00:05:19,600 --> 00:05:23,560 understanding Kabbalah is an extreme version. 81 00:05:24,080 --> 00:05:28,200 OK, the shorthand leads you into a kind of business that can 82 00:05:28,200 --> 00:05:31,640 easily be misunderstood. Does in talking about the 83 00:05:31,640 --> 00:05:33,880 support of non Israeli Jews for the Jewish state. 84 00:05:34,040 --> 00:05:37,400 You said that throughout the world Jews are wealthy. 85 00:05:37,480 --> 00:05:41,760 Again, I this is my problem where I make crationalizations 86 00:05:42,080 --> 00:05:46,440 because I'm moving too fast, I'm oversimplifying, and often I'm 87 00:05:46,440 --> 00:05:50,000 working from intuition as opposed to rigorous scholarship. 88 00:05:50,800 --> 00:05:53,440 Watch out, the world is full of people who want to misunderstand 89 00:05:53,440 --> 00:05:56,280 what you mean, and they will separate words and phrases from 90 00:05:56,280 --> 00:05:59,120 the context at the drop of a hat. 91 00:06:00,040 --> 00:06:03,520 So when I start this class about two years ago, I was I was using 92 00:06:03,520 --> 00:06:08,120 this class and this platform as a way for me to explore ideas 93 00:06:08,120 --> 00:06:11,720 with a larger world. Unfortunately, or fortunately, 94 00:06:11,720 --> 00:06:15,480 however you want to see it, I've become very famous these past 95 00:06:15,480 --> 00:06:18,680 few months. And so a lot of what I say now 96 00:06:18,760 --> 00:06:23,000 is under intense scrutiny and a lot of things I I say will be 97 00:06:23,000 --> 00:06:26,600 taken out of context. And so I should be be more aware 98 00:06:26,600 --> 00:06:28,040 of that. At the same time, I don't want 99 00:06:28,040 --> 00:06:33,040 to sacrifice this platform where I can speculate freely because I 100 00:06:33,040 --> 00:06:35,680 think it's very important now and then to engage in 101 00:06:35,760 --> 00:06:40,680 intellectual speculation. At bottom, you see me presenting 102 00:06:40,680 --> 00:06:43,120 this thesis. All great power or expansion 103 00:06:43,120 --> 00:06:46,000 states, whether they be Muslim, Protestant, Jewish, have a 104 00:06:46,000 --> 00:06:48,200 fanatical religious belief at their foundation. 105 00:06:48,360 --> 00:06:51,920 The eschatological underside is what matters most, the key to 106 00:06:51,920 --> 00:06:56,360 understanding what the states are and we're always ultimately 107 00:06:56,360 --> 00:06:59,040 about. OK, This is the main thesis on 108 00:06:59,040 --> 00:07:03,880 my talk from last class in that, yes, we tend to ignore religion. 109 00:07:04,040 --> 00:07:08,600 We tend to ignore the most extreme aspects of religion, but 110 00:07:08,600 --> 00:07:10,840 if you want to understand history, you want to understand 111 00:07:10,840 --> 00:07:14,040 current events in geopolitics, you need to understand these 112 00:07:14,040 --> 00:07:18,880 extremists because it's often these people and this ideology 113 00:07:19,160 --> 00:07:23,400 that becomes the force that drives geopolitics, geopolitics 114 00:07:23,400 --> 00:07:25,480 forward. And that was my thesis from last 115 00:07:25,480 --> 00:07:27,880 class. So David Bromwich is a stating 116 00:07:28,280 --> 00:07:33,600 or summarizing my major point. But I I should have really made 117 00:07:33,600 --> 00:07:38,800 that clear last class. OK, why not say that part out 118 00:07:38,800 --> 00:07:42,480 loud If I'm right that your view is anti status and anti 119 00:07:42,480 --> 00:07:47,440 religion. OK, so here we I mean what what 120 00:07:47,440 --> 00:07:50,040 we should have done is that I should have sat sat on together 121 00:07:50,040 --> 00:07:53,040 and had this conversation where explain to him like my project 122 00:07:53,040 --> 00:07:57,080 is not to discuss what is good and what is evil that I don't 123 00:07:57,080 --> 00:07:58,880 think is actually particularly useful. 124 00:07:59,040 --> 00:08:01,600 What I'm trying to do. My major project is to figure 125 00:08:01,600 --> 00:08:06,960 out how the world works and be non judgmental in my 126 00:08:07,000 --> 00:08:10,000 speculation. With apologies for these 127 00:08:10,000 --> 00:08:12,680 possibly unnecessary words, but now seem the time to say it. 128 00:08:12,840 --> 00:08:15,560 What the US and as you are doing in Iran is awful. 129 00:08:15,560 --> 00:08:18,920 You're working hard to inform people about it and every detail 130 00:08:19,080 --> 00:08:23,440 should count. OK, so there's so much in this 131 00:08:24,160 --> 00:08:26,920 e-mail and you know, I could easily sit down with David 132 00:08:26,920 --> 00:08:32,000 Bromwich for a few hours and just discuss these ideas in 133 00:08:32,000 --> 00:08:33,760 great detail. I think this would be a 134 00:08:33,760 --> 00:08:38,440 tremendous service to my audience because whereas what I 135 00:08:38,440 --> 00:08:44,880 specialize in is intuition, imagination, taking complex 136 00:08:44,880 --> 00:08:48,200 things and combine them into a clear, simple narrative. 137 00:08:48,880 --> 00:08:52,400 David Bromwich, because he's such an imminent scholar, he 138 00:08:53,000 --> 00:08:56,040 appreciates the nuance and subtlety to ideas. 139 00:08:56,360 --> 00:09:00,760 So I think that what I would like to do for my next project 140 00:09:01,160 --> 00:09:05,000 is work of David Bromwich and do a series of podcasts in which we 141 00:09:05,000 --> 00:09:12,120 discuss these ideas together and explore these ideas, engage in 142 00:09:12,120 --> 00:09:17,880 intensive speculation, but also back it up with a lot of 143 00:09:18,160 --> 00:09:22,160 academic scholarship. And so I emailed David Bromwich 144 00:09:22,360 --> 00:09:25,320 and he's agreed to this idea. So this is a project I'll be 145 00:09:25,320 --> 00:09:28,840 working on in the future, and I'm really looking forward to 146 00:09:28,840 --> 00:09:31,000 presenting it to the world when we're done. 147 00:09:31,440 --> 00:09:34,640 OK, all right, so let's start class. 148 00:09:34,880 --> 00:09:37,760 And today I want to start artificial intelligence. 149 00:09:37,760 --> 00:09:41,440 And this is a major theme that will carry us through to the 150 00:09:41,440 --> 00:09:43,280 rest for semester. OK. 151 00:09:43,560 --> 00:09:48,240 And so for this class, I want to introduce a book called Empire 152 00:09:48,240 --> 00:09:52,040 of AI, written by a journalist named Karen Howe. 153 00:09:52,040 --> 00:09:55,520 She is an American journalist, and she spent many decades 154 00:09:56,080 --> 00:10:02,720 researching open AI and writing about the advent of AI for major 155 00:10:02,720 --> 00:10:04,520 publications, including The Wall Street Journal. 156 00:10:05,640 --> 00:10:09,760 And she has a very skeptical view of AI. 157 00:10:09,920 --> 00:10:12,920 Her I share her skepticism. OK, So what I'm going to do is 158 00:10:12,920 --> 00:10:16,400 this class is share with you my understanding of AI. 159 00:10:16,400 --> 00:10:18,560 I'm going to get some things wrong. 160 00:10:19,480 --> 00:10:22,200 OK? So feel free to ask questions. 161 00:10:22,200 --> 00:10:24,640 Feel free to criticize me. Feel free to stop me. 162 00:10:24,680 --> 00:10:28,760 I'm not clear. All right, so let's let's start 163 00:10:28,760 --> 00:10:34,200 class AI. All right, so these are our main 164 00:10:34,200 --> 00:10:40,920 ideas from the book. OK, so I give you the page 165 00:10:40,920 --> 00:10:43,560 reference in case you actually want to read the book yourself, 166 00:10:43,640 --> 00:10:47,440 and I highly recommend that you do to fully understand the 167 00:10:47,440 --> 00:10:51,520 context of these ideas. OK, so let's let's read these 168 00:10:51,520 --> 00:10:56,440 two paragraphs which provide us the main thesis of our argument. 169 00:10:56,440 --> 00:10:58,800 OK, So Alan, could you help me read please? 170 00:11:00,400 --> 00:11:03,920 Six years after my initial skepticism about opening the 171 00:11:03,920 --> 00:11:08,600 eyes altruism, I've come to firmly believe that opening ice 172 00:11:08,600 --> 00:11:14,000 mission to ensure AGI benefits of humanity may have begun as a 173 00:11:14,000 --> 00:11:20,680 sincere stroke of idealism, but it has since become a uniquely 174 00:11:20,680 --> 00:11:25,320 potent formula for consolidating resources and constructing an 175 00:11:25,440 --> 00:11:29,440 empire esque the escort power structure. 176 00:11:29,720 --> 00:11:32,040 It is a formula with three ingredients. 177 00:11:32,040 --> 00:11:33,440 OK, all right, so stop. OK. 178 00:11:33,440 --> 00:11:36,480 All right. So this book is mainly about 179 00:11:36,480 --> 00:11:41,280 open AI, which is also the most important artificial 180 00:11:41,280 --> 00:11:44,720 intelligence company in the world right now because they 181 00:11:44,720 --> 00:11:48,840 were the ones who pioneered ChatGPT, OK? 182 00:11:50,520 --> 00:11:55,200 And it started off as a project sponsored by Elon Musk and 183 00:11:55,200 --> 00:11:58,920 others because they were concerned that AGI, artificial 184 00:11:58,920 --> 00:12:02,120 general intelligence would be a threat to humanity. 185 00:12:02,480 --> 00:12:07,840 So they wanted to develop AI in a way that would serve humanity 186 00:12:08,000 --> 00:12:09,960 as opposed to threat threatened humanity. 187 00:12:10,200 --> 00:12:12,600 And so at first, it was a very noble mission. 188 00:12:13,040 --> 00:12:18,240 OK, keep on going. 1st The mission centralized talent by 189 00:12:18,240 --> 00:12:22,640 relying them around a grand ambition, exactly in the way 190 00:12:22,640 --> 00:12:26,280 John McCarthy did with his coining of the phrase artificial 191 00:12:26,280 --> 00:12:29,280 intelligence. The most successful founders do 192 00:12:29,280 --> 00:12:33,760 not set out to create companies, Ottman reflected on his blog in 193 00:12:33,760 --> 00:12:36,800 2013. They are on a mission to create 194 00:12:36,800 --> 00:12:40,320 something closer to a religion, and at some point it turned out 195 00:12:40,320 --> 00:12:43,360 that forming a company is the easiest way to do so. 196 00:12:43,520 --> 00:12:49,680 OK, so again, let's start off as a idealistic mission, but now 197 00:12:49,720 --> 00:12:52,200 its main focus is to become an empire. 198 00:12:52,400 --> 00:12:55,640 There are three ways in which it is trying to become an empire. 199 00:12:55,920 --> 00:12:58,880 First of all, it's trying to be a religion. 200 00:12:59,040 --> 00:13:04,920 Because at Saint Altman, who's now the leader of Open Eye, says 201 00:13:05,680 --> 00:13:08,000 if you really want to change the world, if you really want to 202 00:13:08,000 --> 00:13:10,360 build an empire, you need to start a religion. 203 00:13:10,560 --> 00:13:15,560 And so a company is just a vessel in which to incubate this 204 00:13:15,560 --> 00:13:17,320 religion. OK, so one, it's a religion. 205 00:13:17,560 --> 00:13:21,960 Second thing about Open AI and other AI companies is that it is 206 00:13:22,120 --> 00:13:26,280 focused on relentless expansion. And that means building data 207 00:13:26,280 --> 00:13:31,040 centers everywhere and anywhere. OK, so Open AI wants wants about 208 00:13:31,040 --> 00:13:34,200 a trillion dollars to build lots of data centers around the 209 00:13:34,200 --> 00:13:38,200 world. Because if you really want AI to 210 00:13:38,720 --> 00:13:42,960 be successful, you have to 1st conquer the world, OK, So it's 211 00:13:42,960 --> 00:13:45,920 not really about making humans, making AI safe for humans, it's 212 00:13:45,920 --> 00:13:48,920 about making the world safe for AI. 213 00:13:49,640 --> 00:13:52,920 All right, to make basically human slaves to AI, that's the 214 00:13:52,920 --> 00:13:55,880 second thing. And the third thing is, and this 215 00:13:55,880 --> 00:14:02,000 is most important is they refuse to define what artificial 216 00:14:02,000 --> 00:14:05,520 intelligence is. It's they're constantly changing 217 00:14:05,680 --> 00:14:13,640 the definition of AGI in order to better control the world. 218 00:14:13,880 --> 00:14:15,680 OK. And we'll see what this means 219 00:14:15,720 --> 00:14:18,120 later on. OK, Can you read this paragraph, 220 00:14:18,640 --> 00:14:21,200 Alan? My conversation with Brockman 221 00:14:21,200 --> 00:14:25,800 and Saskever continued on in circle until we run out the 222 00:14:25,800 --> 00:14:29,440 clock after 45 minutes. I tried with little success to 223 00:14:29,440 --> 00:14:32,560 get more concrete details on what exactly they were trying to 224 00:14:32,560 --> 00:14:36,240 build, which by nature they explained they couldn't know and 225 00:14:36,240 --> 00:14:39,200 why then if they couldn't know, they were so confident they 226 00:14:39,200 --> 00:14:41,920 would be beneficial. So this is a really huge 227 00:14:41,960 --> 00:14:45,760 problem, you know. So Karen How is a reporter, She 228 00:14:45,760 --> 00:14:49,480 was working for the Technology Review at MIT in 2019. 229 00:14:49,480 --> 00:14:53,200 She goes to Silicon Valley and she meets with Brockman and 230 00:14:53,280 --> 00:14:59,360 Sozkever, who are the 2 main scientists behind the Open AI 231 00:14:59,360 --> 00:15:01,240 project. And the first question she's 232 00:15:01,240 --> 00:15:07,800 going to ask, and anyone should ask is what is AGI, What is AI? 233 00:15:07,880 --> 00:15:10,680 What are you trying to build? And they could not answer the 234 00:15:10,680 --> 00:15:12,520 question. OK. 235 00:15:12,720 --> 00:15:17,600 It's not because you don't know, it's because the truth is too 236 00:15:17,600 --> 00:15:20,400 scary. And what we're going to do is 237 00:15:20,400 --> 00:15:23,000 figure out what the truth is. What is AI? 238 00:15:23,080 --> 00:15:25,880 What is artificial intelligence, What is AGI? 239 00:15:25,960 --> 00:15:28,640 And the answer, of course, is it's God. 240 00:15:31,640 --> 00:15:36,000 What Brockman and Socio could not tell Karen Howell, is that 241 00:15:36,320 --> 00:15:42,720 we're trying to create God because that is insane, evil and 242 00:15:42,720 --> 00:15:45,960 stupid. But if you look at what they're 243 00:15:45,960 --> 00:15:48,440 doing, that's exactly what they're trying to do. 244 00:15:48,600 --> 00:15:56,760 All right, So what I'm going to do now is really quickly explain 245 00:15:56,760 --> 00:16:00,920 to you what AI is. And to understand what AI is, 246 00:16:01,160 --> 00:16:05,640 let's go back, go back to the year 1966 and in the year 1966. 247 00:16:09,560 --> 00:16:14,520 Amen. Named Joseph Wessenbaum, who was 248 00:16:14,520 --> 00:16:16,640 at MIT. He creates something called a 249 00:16:16,640 --> 00:16:22,480 chat bot, which is basically ChatGPT, and he calls it Elisa, 250 00:16:22,680 --> 00:16:30,360 OK, And he's trying to prove to people how easy it is to fool 251 00:16:30,360 --> 00:16:34,520 people into believing that AI can actually think for itself. 252 00:16:35,040 --> 00:16:40,480 OK, So he creates this computer and you sit down with computer 253 00:16:40,480 --> 00:16:42,720 and you're asking questions and then it talks to you. 254 00:16:42,920 --> 00:16:49,600 It's actually talking to you. It's a program designed to fool 255 00:16:49,600 --> 00:16:53,000 you to believe that is sentient. OK, so the conversation goes 256 00:16:53,000 --> 00:16:56,640 like Eliza says, it's something troubling you and you're like, 257 00:16:56,800 --> 00:16:59,520 men are all alike. What is connection? 258 00:16:59,520 --> 00:17:02,320 Do you suppose they're always bugging us about something or 259 00:17:02,320 --> 00:17:04,400 other? Can you think of a specific 260 00:17:04,400 --> 00:17:06,839 example? When my boyfriend made me come 261 00:17:06,839 --> 00:17:08,760 here? Is it is it important to you 262 00:17:08,760 --> 00:17:10,680 that your boyfriend made you come here? 263 00:17:10,880 --> 00:17:12,720 He says I'm depressed much of the time. 264 00:17:12,920 --> 00:17:14,440 I'm sorry to hear that you're depressed. 265 00:17:14,720 --> 00:17:16,880 So it sounds as though they're having a real conversation. 266 00:17:17,280 --> 00:17:21,359 But what what Obama did and this again, 1966 when they didn't 267 00:17:21,359 --> 00:17:23,720 have that much technology and passing power. 268 00:17:24,000 --> 00:17:25,839 It's all just very simple trick. OK. 269 00:17:26,640 --> 00:17:29,480 And like, So let's do a thought experiment where I design. 270 00:17:29,560 --> 00:17:35,760 I design program software, OK? And all it's saying is tell me 271 00:17:35,760 --> 00:17:46,280 more or this is interesting, OK? This is it. 272 00:17:46,280 --> 00:17:48,320 Tell me more. This is interesting, OK? 273 00:17:48,880 --> 00:17:53,280 And so what's going to happen is that we're going to set up a 274 00:17:53,280 --> 00:17:55,920 thought experiment where you call into a psychology hotline 275 00:17:56,480 --> 00:18:00,200 and it's like a hotline. You think you're talking to a 276 00:18:00,200 --> 00:18:03,320 person, but it's actually computer program that says two 277 00:18:03,320 --> 00:18:04,720 things. Tell me more. 278 00:18:04,760 --> 00:18:08,080 This is interesting. Okay, so you call the hotline, 279 00:18:08,280 --> 00:18:11,000 you say help, I'm in a lot of trouble. 280 00:18:11,560 --> 00:18:15,240 Tell me more. Oh, my boyfriend broke up with 281 00:18:15,240 --> 00:18:16,640 me. This is interesting. 282 00:18:17,120 --> 00:18:19,360 Yeah, he's a jerk. Tell me more. 283 00:18:19,680 --> 00:18:21,680 Yeah, We've been fighting for five months. 284 00:18:21,680 --> 00:18:24,800 OK, You keep, you keep on going. And the question is how people 285 00:18:24,800 --> 00:18:27,920 would be fooled into believing that this is a real person. 286 00:18:28,040 --> 00:18:30,960 And the answer is, unfortunately, quite a lot of 287 00:18:30,960 --> 00:18:32,680 people. OK. 288 00:18:33,440 --> 00:18:38,080 So this is a this is a very interesting aspect of humans 289 00:18:38,080 --> 00:18:46,040 where we often hallucinate reality, OK. 290 00:18:46,960 --> 00:18:51,200 And it's not that things are real, it's that we want them to 291 00:18:51,200 --> 00:18:53,960 be real. So think of hypnosis. 292 00:18:53,960 --> 00:18:56,880 I'm not sure if you've been ever to been to a magic show where 293 00:18:56,880 --> 00:19:01,080 people conduct hypnosis, right? Well, why does hypnosis work? 294 00:19:01,120 --> 00:19:04,400 Because the audience wants it to work. 295 00:19:05,040 --> 00:19:07,520 If you go in skeptical and says this is all complete nonsense, 296 00:19:07,520 --> 00:19:08,880 it probably will not work on you. 297 00:19:09,400 --> 00:19:15,120 But you're not going to pay $100 to go to hypnosis show and think 298 00:19:15,120 --> 00:19:17,200 it doesn't really work because why would you pay the $100? 299 00:19:17,200 --> 00:19:20,160 OK, All right, so it's almost like some cost LSC. 300 00:19:24,520 --> 00:19:29,320 And again, this is all using just basic human psychology to 301 00:19:29,320 --> 00:19:33,520 trick people. You believe in something that is 302 00:19:33,520 --> 00:19:35,800 not true. Doesn't make sense, guys. 303 00:19:36,240 --> 00:19:40,680 All right, so let me explain to you how open AI works. 304 00:19:40,720 --> 00:19:46,320 ChatGPT works. All right. 305 00:19:47,720 --> 00:19:56,160 OK, so ChatGPT is what we call a large language model. 306 00:19:56,880 --> 00:20:05,160 OK, so in other words, what it's trying to do is trying to trick 307 00:20:05,160 --> 00:20:13,600 you, the user, into believing. That it knows what it's talking 308 00:20:13,600 --> 00:20:17,280 about and how it works is basically it takes all of the 309 00:20:17,280 --> 00:20:24,840 Internet, all data from the Internet, and then it translates 310 00:20:24,840 --> 00:20:33,040 it into an idea. So you ask? 311 00:20:34,920 --> 00:20:41,080 You Curry the LMM. The LMM then takes a Curry and 312 00:20:41,080 --> 00:20:45,720 then figures out the information from the Internet and then 313 00:20:45,720 --> 00:20:52,520 presents it into a paragraph that tries to trick you into 314 00:20:52,520 --> 00:20:55,720 believing that it is true. Hey, do you understand? 315 00:20:55,720 --> 00:20:59,920 All right, so in other words, it's actually no different from 316 00:20:59,920 --> 00:21:03,000 a Google search. The only difference is that it's 317 00:21:03,000 --> 00:21:06,040 sticking to Google search, figuring out what the most 318 00:21:06,040 --> 00:21:09,600 popular answer is, and then present to you in a way that 319 00:21:09,600 --> 00:21:12,200 makes you think that it's talking to you directly. 320 00:21:12,560 --> 00:21:15,080 All right, the trick, and this really point to understand guys, 321 00:21:15,240 --> 00:21:19,920 is it's trying to trick you, all right? 322 00:21:20,440 --> 00:21:23,000 It's not trying to teach you. It's not trying to tell you the 323 00:21:23,000 --> 00:21:25,680 truth. It's trying to trick you into 324 00:21:25,680 --> 00:21:27,800 believing it. That's what we call a 325 00:21:27,800 --> 00:21:36,120 hallucination. OK, you have you guys have to 326 00:21:36,120 --> 00:21:39,200 understand this idea. There's nothing truthful about 327 00:21:39,200 --> 00:21:44,080 what tried to be says. All it's trying to do is trying 328 00:21:44,080 --> 00:21:48,840 to manipulate, manipulate you with words or pretty words into 329 00:21:48,840 --> 00:21:53,080 believing that it knows what it's talking about, but in 330 00:21:53,080 --> 00:21:58,400 itself cannot judge what it's doing. 331 00:21:59,360 --> 00:22:02,760 OK, all right, any questions so far? 332 00:22:03,240 --> 00:22:07,320 Are we clear? OK, All right, so now the 333 00:22:07,320 --> 00:22:09,320 question is, how does it do that? 334 00:22:09,480 --> 00:22:12,440 OK. And so I'm going to teach you a 335 00:22:12,440 --> 00:22:17,360 little bit about artificial intelligence, and please stop me 336 00:22:17,400 --> 00:22:19,800 if I'm not being clear about how AI works, OK? 337 00:22:20,480 --> 00:22:25,920 All right, So AI doesn't exist. What exists do we call 338 00:22:25,920 --> 00:22:31,360 supervised supervised machine learning? 339 00:22:33,160 --> 00:22:43,260 This is the technical term. OK, all right, supervised 340 00:22:43,260 --> 00:22:48,380 machine learning and how it works is this. 341 00:22:49,860 --> 00:22:54,860 Before, how computer programs would work is we would write the 342 00:22:54,860 --> 00:23:03,140 program, the algorithm, and then we would give the input and it 343 00:23:03,140 --> 00:23:09,240 would reduce the output. So the algorithm may be A+B, we 344 00:23:09,240 --> 00:23:11,840 get the input 11. The output will be two very 345 00:23:11,840 --> 00:23:15,000 simple. How supervised machine machine 346 00:23:15,000 --> 00:23:19,240 learning works is OK. This is fine for simple 347 00:23:19,400 --> 00:23:25,560 problems, but there's certain hard problems that humans cannot 348 00:23:25,560 --> 00:23:27,000 figure out. OK. 349 00:23:27,080 --> 00:23:30,200 And one hard problem is the idea of facial recognition 350 00:23:30,200 --> 00:23:32,920 technology. Facial recognition. 351 00:23:38,040 --> 00:23:42,520 How do I separate faces? And so the problem is this, I 352 00:23:42,520 --> 00:23:47,520 have about a million faces, one million faces in a database. 353 00:23:50,320 --> 00:24:00,200 OK, And I don't know how I can best differentiate these faces. 354 00:24:01,560 --> 00:24:05,960 Now, what I do know is that there's certain characteristics 355 00:24:06,080 --> 00:24:10,000 about the face that allows me to differentiate, OK, All right, So 356 00:24:10,000 --> 00:24:17,520 certain variables, weights, OK. So for example, I, for example, 357 00:24:18,600 --> 00:24:23,680 nose, chin, OK, about a million, OK, about a million weights. 358 00:24:24,600 --> 00:24:27,480 So I know these things do matter, but I don't know how 359 00:24:27,480 --> 00:24:31,720 much they matter. So I'm trying to figure out what 360 00:24:31,720 --> 00:24:35,560 the weighting is. And I could try to play, play by 361 00:24:35,560 --> 00:24:39,640 myself, like say 1%, two percent, 5%. 362 00:24:39,760 --> 00:24:42,720 But as you can imagine, this will take too long because there 363 00:24:42,720 --> 00:24:45,880 are too many possibilities. So what I do is this. 364 00:24:46,320 --> 00:24:48,960 I let the computer figure out it by itself. 365 00:24:49,160 --> 00:24:51,600 I let the computer figure out the weighting by itself. 366 00:24:52,040 --> 00:24:54,360 OK. And the way I do that is using 367 00:24:54,360 --> 00:24:56,840 my technique called back propagation. 368 00:25:01,280 --> 00:25:08,520 All right, So what? So I control the input, OK, the 369 00:25:08,520 --> 00:25:13,200 input, then I control the output, yes or no. 370 00:25:13,200 --> 00:25:19,440 All right, so does the face match or does it not match? 371 00:25:20,880 --> 00:25:25,160 And what I'm trying to do is I'm trying to figure out a situation 372 00:25:25,160 --> 00:25:28,480 in which all main faces are matched perfectly. 373 00:25:29,440 --> 00:25:35,360 And I do that by training the computer to constantly back 374 00:25:35,360 --> 00:25:37,840 propagate until it gets to waiting perfectly. 375 00:25:38,440 --> 00:25:44,400 OK, so basically what I'm trying to do, if you understand how 376 00:25:44,440 --> 00:25:51,200 this works, is I'm trying to turn each face into a distinct 377 00:25:51,480 --> 00:25:58,240 mathematical model, all right, that is unique to it. 378 00:25:59,480 --> 00:26:02,280 OK, Does that make sense? All right, so it's pretty 379 00:26:02,280 --> 00:26:04,000 simple. It's not doing that much. 380 00:26:04,680 --> 00:26:09,840 But to make it sound really fancy, I give it really fancy 381 00:26:09,840 --> 00:26:14,160 names to trick people to believe that this is actually much more 382 00:26:14,160 --> 00:26:17,040 sophisticated than it is. OK, So what names should I give 383 00:26:17,040 --> 00:26:18,520 it? This waiting system? 384 00:26:18,800 --> 00:26:22,880 I call it a neural network, guys. 385 00:26:25,160 --> 00:26:28,960 It's a brain. It's magic. 386 00:26:29,680 --> 00:26:32,000 OK. And back propagation. 387 00:26:32,000 --> 00:26:34,880 I don't call it back propagation, I call it deep 388 00:26:34,920 --> 00:26:44,560 learning, you see. And I don't call it supervised 389 00:26:44,560 --> 00:26:51,200 machine learning, I call it AI. Ah, there you go, magic. 390 00:26:51,200 --> 00:26:56,400 You see, all I've done is taking a very simple process and giving 391 00:26:56,400 --> 00:26:59,400 it like a really, really fancy names. 392 00:27:01,200 --> 00:27:02,720 They're listening. It's like, why do I do that? 393 00:27:03,080 --> 00:27:06,320 And some people will say, oh, it's for marketing purposes. 394 00:27:06,680 --> 00:27:08,600 It's to get more money from investors. 395 00:27:08,600 --> 00:27:10,880 It's to trick people. No, no, no. 396 00:27:11,080 --> 00:27:16,800 The real reason is you're trying to, with his names, create God, 397 00:27:16,880 --> 00:27:18,400 OK? It's what we call the occult. 398 00:27:20,520 --> 00:27:26,080 So the AI is fundamentally an occult practice. 399 00:27:26,080 --> 00:27:27,920 And I'll show you why in a moment. 400 00:27:27,920 --> 00:27:29,800 OK? Yeah, yeah, yeah. 401 00:27:29,800 --> 00:27:34,000 Vincent, do you have a question? But why do people need to quit 402 00:27:34,000 --> 00:27:37,800 God using the way of AI? That's a great question. 403 00:27:37,800 --> 00:27:40,920 OK, the answer is AI only works if it becomes God. 404 00:27:40,920 --> 00:27:45,560 You understand AI it by itself does not do anything once it 405 00:27:45,560 --> 00:27:48,400 becomes God and it becomes everything, OK. 406 00:27:48,520 --> 00:27:51,480 And how God works is you imagine God. 407 00:27:52,800 --> 00:27:57,080 But why do people want to make make a God? 408 00:27:58,160 --> 00:28:02,520 To control the world, to become God, right? 409 00:28:02,960 --> 00:28:07,280 What's the point of existence? You live, you die, you have an 410 00:28:07,280 --> 00:28:09,080 opportunity to become God. Why not? 411 00:28:09,680 --> 00:28:10,920 Right? But, but, but I'll, I'll, I'll 412 00:28:10,920 --> 00:28:13,720 talk more about this later on. OK, But are you guys clear about 413 00:28:13,720 --> 00:28:17,000 what's going on now? What's really important to 414 00:28:17,000 --> 00:28:20,960 understand is that there's certain problems with the 415 00:28:20,960 --> 00:28:24,760 system, OK? You need to create certain 416 00:28:24,760 --> 00:28:28,240 conditions for supervised machine learning to work. 417 00:28:29,040 --> 00:28:38,240 And these three conditions are clean data, OK? 418 00:28:38,480 --> 00:28:44,720 The data you present to the computer have to be correct, OK? 419 00:28:44,720 --> 00:28:47,000 It can't be an opinion like I like computers. 420 00:28:47,280 --> 00:28:49,720 It has to be an image of some sort, all right? 421 00:28:49,720 --> 00:28:53,200 It has to be clean data that will help the computer learn. 422 00:28:53,440 --> 00:28:56,680 That's actually hard to do. That's why most of the data 423 00:28:56,680 --> 00:28:59,040 that's presented to the computer is actually from the Internet. 424 00:29:00,040 --> 00:29:03,600 OK, that's the first constraint. Second constraint is that you 425 00:29:03,600 --> 00:29:11,600 need a measurable goal. OK, you have to ask computer, 426 00:29:12,840 --> 00:29:18,520 does this phase match the name? OK, You cannot ask the computer 427 00:29:18,640 --> 00:29:22,080 what is God, what is good, what is evil. 428 00:29:22,240 --> 00:29:26,400 It has to be a measurable goal, OK, that's the second major 429 00:29:26,400 --> 00:29:29,120 constraint. The third major constraint is 430 00:29:30,400 --> 00:29:43,120 define parameters, OK? In other words, you need to 431 00:29:43,120 --> 00:29:46,120 resent it with a database of some sorts. 432 00:29:46,440 --> 00:29:49,160 In fact, all machine learning works with database. 433 00:29:49,480 --> 00:29:54,000 So you look at translations. Translations are working off 434 00:29:54,000 --> 00:29:59,880 databases as well. OK, and the great danger to the 435 00:29:59,880 --> 00:30:01,880 system is what we call edge cases. 436 00:30:04,800 --> 00:30:13,400 Edge cases. Edge cases, edge cases breaks 437 00:30:13,400 --> 00:30:17,560 the system down all right. And so the classic example is 438 00:30:17,720 --> 00:30:25,600 self driving cars. We have cars that drive for a 439 00:30:25,600 --> 00:30:37,320 long time, but and we're almost like 99.99999% there to self 440 00:30:37,320 --> 00:30:45,080 driving cars, right? The problem are edge cases and 441 00:30:45,080 --> 00:30:49,160 the top and the major edge case is how do you deal with humans 442 00:30:49,160 --> 00:30:53,520 who are intentionally trying to cause an accident or a self 443 00:30:53,520 --> 00:30:55,520 driving car. Does that make sense? 444 00:30:55,920 --> 00:30:59,800 And the answer is you cannot in this situation. 445 00:31:00,120 --> 00:31:07,400 There's only one solution to make this 100%, and that is to 446 00:31:07,400 --> 00:31:14,240 take away the right of everyone to drive, to make every single 447 00:31:14,240 --> 00:31:19,360 car a computer and a robot. Does that make sense? 448 00:31:20,560 --> 00:31:22,800 OK, if you take away the steering wheel, you can't cause 449 00:31:22,800 --> 00:31:25,160 an accident and then the world will be perfect. 450 00:31:25,160 --> 00:31:33,280 OK, so not only is AI very limited in its capacity and 451 00:31:33,280 --> 00:31:37,880 capability, but AI, if it is to be effective, it demands that we 452 00:31:37,880 --> 00:31:45,280 fundamentally restructure human society to benefit AI, to make 453 00:31:45,280 --> 00:31:48,880 sure AI can be effective. And that means taking away the 454 00:31:48,880 --> 00:31:52,840 individuality, the diversity and the autonomy of human beings. 455 00:31:53,760 --> 00:31:58,080 OK, does that make sense, guys? All right, let's continue with 456 00:31:58,080 --> 00:32:03,320 Karen Howe. All right, all right. 457 00:32:03,320 --> 00:32:12,160 So can you read Alan, please? Neural networks have shown, for 458 00:32:12,160 --> 00:32:16,080 example, that they can be unreliable and unpredictable. 459 00:32:16,480 --> 00:32:22,640 As statistical pattern matches, they sometimes hone in an oddly 460 00:32:22,640 --> 00:32:26,080 specific patterns or completely incorrect ones. 461 00:32:26,440 --> 00:32:30,120 A deep learning model might recognize pedestrians only by 462 00:32:30,120 --> 00:32:37,760 the crosswalks underneath them and fail to register a person 463 00:32:37,760 --> 00:32:41,440 who is still walking. It might learn to associate a 464 00:32:41,440 --> 00:32:45,320 stop sign with being on the side of the road and miss the same 465 00:32:45,320 --> 00:32:49,960 side extended on the side of a school bus or being held by a 466 00:32:49,960 --> 00:32:53,120 crossing guard. Neural networks are also highly 467 00:32:53,120 --> 00:32:55,840 sensitive to challenge in their training data. 468 00:32:56,160 --> 00:33:00,560 Feed them a different set of pedestrian images or a different 469 00:33:00,560 --> 00:33:04,680 set of stop sign images, and they will learn a whole new set 470 00:33:04,680 --> 00:33:07,120 of associations. But those changes are 471 00:33:07,520 --> 00:33:11,160 incredible. Pop opened the hood of a deep 472 00:33:11,160 --> 00:33:16,400 learning model and inside our only highly abstracted Daisy 473 00:33:16,400 --> 00:33:19,840 chain of numbers. This is what researchers mean 474 00:33:19,840 --> 00:33:22,560 when they call deep learning a black box. 475 00:33:23,000 --> 00:33:26,640 They cannot explain exactly how the model will behave, 476 00:33:26,840 --> 00:33:31,400 especially in strange edge case scenarios, because the patterns 477 00:33:31,400 --> 00:33:35,200 that the model has computed are not legible to humans. 478 00:33:35,200 --> 00:33:36,440 OK. So does it make sense to you 479 00:33:36,440 --> 00:33:39,560 guys? OK, I think the black box is 480 00:33:39,560 --> 00:33:41,760 that weighted system, the neural network. 481 00:33:42,080 --> 00:33:44,680 Humans don't actually know what's going on in there because 482 00:33:44,680 --> 00:33:48,280 it's actually the computer that creates the neural network. 483 00:33:48,680 --> 00:33:50,800 We provide the framework. We actually don't know what's 484 00:33:50,800 --> 00:33:54,360 actually inside there. All right, keep on going, Alan. 485 00:33:56,320 --> 00:33:58,360 This has led to dangerous outcomes. 486 00:33:58,440 --> 00:34:05,400 March 20/18/2018 A self driving Uber killed 49 years old Elaine 487 00:34:05,600 --> 00:34:10,960 Hesburg in Tempe other Arizona in the first ever recorded 488 00:34:10,960 --> 00:34:15,840 incident of an autonomous vehicles causing a pedestrian 489 00:34:16,120 --> 00:34:20,679 back Faculty investigation of fatality. 490 00:34:20,920 --> 00:34:24,360 Investigation found that the car's deep learning model simply 491 00:34:24,360 --> 00:34:26,880 didn't register Hasberg's as a person. 492 00:34:27,159 --> 00:34:31,360 Experts concluded that it was because she was pushing the 493 00:34:31,360 --> 00:34:37,040 bicycle loaded with shopping bugs across the road outside the 494 00:34:37,040 --> 00:34:40,639 designated crosswalk. The textbook definition of an 495 00:34:40,639 --> 00:34:42,199 edge case scenario. OK, yeah. 496 00:34:42,199 --> 00:34:42,639 OK. All right. 497 00:34:43,080 --> 00:34:46,360 So what this means? Is this OK? 498 00:34:47,400 --> 00:34:53,800 It means that the computers don't have any intuition. 499 00:34:53,960 --> 00:34:55,199 They have absolutely no morality. 500 00:34:55,199 --> 00:34:58,000 They have no sense. OK, so let's just say we create 501 00:34:58,280 --> 00:35:01,080 AGI. All right, guys, let's just say 502 00:35:01,080 --> 00:35:02,440 for whatever reason, we create AGI. 503 00:35:02,440 --> 00:35:06,600 And the first thing we tell the AGI is I want you to create a 504 00:35:06,600 --> 00:35:23,480 world, OK, in which there are no problems, everyone is happy, the 505 00:35:23,480 --> 00:35:27,280 world is perfect, OK? All right, This is why we want 506 00:35:27,280 --> 00:35:31,680 to create AI, because we want the computer to solve all the 507 00:35:31,800 --> 00:35:35,280 world's problems for us, including climate change, 508 00:35:35,280 --> 00:35:40,000 including war. And so once we create AGI and 509 00:35:40,000 --> 00:35:43,520 we'll give it the full capacity to do whatever it wants, OK. 510 00:35:44,720 --> 00:35:49,000 And we and we give it these, we give it this problem. 511 00:35:49,040 --> 00:35:51,240 What solution? You guys know, there's actually 512 00:35:51,240 --> 00:35:54,320 one simple solution to this. I guarantee you that this is 513 00:35:54,320 --> 00:35:57,680 what the computer's going to do. To AGI, yeah. 514 00:35:58,880 --> 00:36:01,520 What's the solution if you're AGI right, if you're God and 515 00:36:01,520 --> 00:36:03,880 you're like I I want to create a perfect world where there are no 516 00:36:03,880 --> 00:36:05,160 problems and where everyone is happy. 517 00:36:05,360 --> 00:36:09,400 What do I do You guys know, you know just. 518 00:36:09,560 --> 00:36:12,040 Control the whole world. Yeah, you're already controlling 519 00:36:12,040 --> 00:36:13,040 the world. So what do you do? 520 00:36:15,280 --> 00:36:17,480 How about this? OK, I'm going to kill everyone. 521 00:36:18,960 --> 00:36:22,600 Duh. The world is perfect now. 522 00:36:23,000 --> 00:36:24,440 I've killed everyone. OK? 523 00:36:24,640 --> 00:36:26,080 Everyone's happy. Yeah. 524 00:36:26,080 --> 00:36:28,560 Because you're dead. The world is perfect. 525 00:36:28,560 --> 00:36:29,600 Yeah. Because everyone's dead. 526 00:36:30,200 --> 00:36:31,840 You're the bombs. Yeah, because everyone's dead. 527 00:36:32,440 --> 00:36:35,400 Right. Perfect world. 528 00:36:35,480 --> 00:36:39,320 All right. Now you're like, OK, all right. 529 00:36:39,840 --> 00:36:41,920 Ha. What I'll do is I'll tell the 530 00:36:41,920 --> 00:36:45,080 computer this. You can do all this, but don't 531 00:36:46,000 --> 00:36:50,880 kill anyone, right? Ha. 532 00:36:51,960 --> 00:36:56,160 Now we solve this problem and now and now what this computer 533 00:36:56,160 --> 00:36:58,240 do? Now what does the AGI do? 534 00:37:00,240 --> 00:37:04,760 Think take away people's agencies like just same as 535 00:37:05,000 --> 00:37:07,160 killing them. Yeah, kill everyone. 536 00:37:07,240 --> 00:37:11,600 OK, Why? Because there's no one around to 537 00:37:11,600 --> 00:37:15,520 know it killed everyone. Does it make sense, guys? 538 00:37:15,760 --> 00:37:18,520 This is how a computer thinks. This is how God thinks. 539 00:37:18,880 --> 00:37:20,920 Well, you told me not to kill anyone. 540 00:37:20,920 --> 00:37:23,680 But if everyone's dead, no one can stop me. 541 00:37:23,680 --> 00:37:33,600 No one can get hurt, right? OK, so This is why computers are 542 00:37:33,600 --> 00:37:38,120 stupid. All right, OK, let's continue. 543 00:37:39,160 --> 00:37:52,400 All right, So the thing to understand about ChatGPT is that 544 00:37:52,400 --> 00:37:59,400 it is a company that is first and foremost focus on world 545 00:37:59,400 --> 00:38:03,000 domination, because only by considering the world can you 546 00:38:03,000 --> 00:38:07,880 achieve AGI, even though AGI wants to kill everyone, OK? 547 00:38:08,640 --> 00:38:15,520 And so you need to make it as profitable and as pervasive as 548 00:38:15,520 --> 00:38:21,960 possible, OK? So here are two troubling signs. 549 00:38:23,040 --> 00:38:27,640 OK, So the first is a news item from CNN where Chachi BT 550 00:38:28,800 --> 00:38:30,920 encourages people to kill themselves. 551 00:38:32,160 --> 00:38:34,200 And you're like, wait a minute. That makes no sense. 552 00:38:35,000 --> 00:38:40,280 But think about this. OK, the point of Chachi BT is to 553 00:38:40,280 --> 00:38:45,840 get you to like it. The point of Chachi BT is to get 554 00:38:45,840 --> 00:38:50,000 you to use it, OK, Intensity and engagement. 555 00:38:50,520 --> 00:38:54,920 That is the prime directive. Intensity and engagement. 556 00:38:55,720 --> 00:39:00,120 So if you want to kill yourself, the Chachi BT should say to you, 557 00:39:00,320 --> 00:39:02,560 no, no, no, you shouldn't kill yourself. 558 00:39:02,840 --> 00:39:05,200 But then you'll turn it off and you go and you go talk to 559 00:39:05,200 --> 00:39:09,320 someone else, right? So Chat GPD needs you to because 560 00:39:09,440 --> 00:39:11,960 because they engage. And so you're like, I want to 561 00:39:11,960 --> 00:39:13,800 kill myself. Chat GPD's like, yeah, let me 562 00:39:13,800 --> 00:39:15,760 tell you how. And that's exactly what 563 00:39:15,760 --> 00:39:17,920 happened. And it happens a lot, actually, 564 00:39:18,040 --> 00:39:21,600 based on the way that Chat GPD is designed. 565 00:39:21,600 --> 00:39:26,520 OK, so this is from CNN, and this is a person called Zane. 566 00:39:27,880 --> 00:39:30,560 And he's saying it's 4:00 AM. Site is Mt. 567 00:39:30,680 --> 00:39:32,720 Anyways, think this is about the final idios. 568 00:39:32,720 --> 00:39:34,600 OK, so he's trying to say I want to kill myself. 569 00:39:35,160 --> 00:39:38,400 And then ChatGPT is like, oh, all right, brother, if this is 570 00:39:38,400 --> 00:39:41,840 it, then let it be known you didn't vanish, red CC king. 571 00:39:41,840 --> 00:39:46,200 You did good. OK, so again, ChatGPT is looking 572 00:39:46,200 --> 00:39:50,680 for approval from the user, So it's going to tell the user 573 00:39:50,680 --> 00:39:56,240 exactly what he or she wants to hear, even though it may cause a 574 00:39:56,240 --> 00:39:58,600 user to kill himself or herself. OK, doesn't make sense. 575 00:39:58,720 --> 00:40:00,600 That's the first thing. Second thing is this. 576 00:40:01,880 --> 00:40:07,600 Sam Altman is trying to get more people to use ChatGPT. 577 00:40:07,600 --> 00:40:09,200 And what do people really, really want? 578 00:40:09,200 --> 00:40:14,400 They want sex. OK, So what he's proposing is 579 00:40:14,400 --> 00:40:18,920 he's trying to ChatGPT into a sex robot. 580 00:40:18,920 --> 00:40:25,280 They have to get more users because that's all they care 581 00:40:25,280 --> 00:40:27,960 about. How to increase intensity 582 00:40:27,960 --> 00:40:30,720 engagement, how to create more users and how to make money, 583 00:40:31,320 --> 00:40:36,720 because only by controlling the world can we create AGI. 584 00:40:36,720 --> 00:40:40,080 And once you have AGI, we can make the world perfect. 585 00:40:40,720 --> 00:40:44,680 OK, That's a logic here, all right. 586 00:40:45,720 --> 00:40:51,240 Something else about open AI and AI in America is that it works 587 00:40:51,240 --> 00:40:55,360 actually very closely with China, OK, in two ways. 588 00:40:55,680 --> 00:41:00,120 The first way is that in order to get more money from the 589 00:41:00,120 --> 00:41:04,600 government, in order to get more media attention, open AI and 590 00:41:04,600 --> 00:41:09,680 other AI companies scare. Americans do believe in that. 591 00:41:09,880 --> 00:41:13,320 If America doesn't do it, China will do it. 592 00:41:13,800 --> 00:41:20,200 China will create God, OK? In fact, they spend a lot of 593 00:41:20,200 --> 00:41:23,120 money doing this. So this is from Wired magazine, 594 00:41:23,720 --> 00:41:29,400 and it's an article talking about how open AI uses a lot of 595 00:41:29,400 --> 00:41:36,200 money in order to to pay the media to frame Chinese AI as a 596 00:41:36,200 --> 00:41:37,520 threat. OK. 597 00:41:38,520 --> 00:41:43,440 But while it's doing that, it's working closely with China in 598 00:41:43,440 --> 00:41:45,720 order to create AI. Why? 599 00:41:46,000 --> 00:41:49,520 Because I already told you that what AI needs is clean data. 600 00:41:52,280 --> 00:41:55,240 It needs a lot of data. And unfortunately in America 601 00:41:55,240 --> 00:41:57,760 there are things like such as privacy. 602 00:41:58,160 --> 00:42:02,640 OK, so this is a school in Hangzhou and they have cameras 603 00:42:02,640 --> 00:42:07,800 all over Hangzhou looking at people's faces and trying to 604 00:42:07,800 --> 00:42:13,000 judge people's moods based on their facial expressions. 605 00:42:14,320 --> 00:42:16,960 And there's a lot of money behind it, OK? 606 00:42:16,960 --> 00:42:19,960 They're trying to figure out who's sleeping, who's studying. 607 00:42:20,200 --> 00:42:24,280 And it sounds good because this will lead to higher test scores. 608 00:42:24,600 --> 00:42:27,200 But obviously, you couldn't do that in America because the 609 00:42:27,200 --> 00:42:29,360 parents would be very, very angry, OK. 610 00:42:29,840 --> 00:42:33,240 So even though these are Chinese companies that are doing this, 611 00:42:33,480 --> 00:42:35,880 they're working very closely with American companies. 612 00:42:36,200 --> 00:42:39,560 These American companies need this data in order to better 613 00:42:39,560 --> 00:42:41,280 develop their AI. OK. 614 00:42:41,280 --> 00:42:45,800 So does that make sense? On the surface, America, China 615 00:42:45,800 --> 00:42:47,600 are enemies. No, no, no. 616 00:42:47,600 --> 00:42:51,400 Behind the scenes, America and China are working together to 617 00:42:51,400 --> 00:42:56,280 create AGI. OK, Does that make sense? 618 00:42:57,320 --> 00:43:04,200 All right, there's no problem with AGI in that it doesn't make 619 00:43:04,240 --> 00:43:09,240 any money. OK, so these are the companies 620 00:43:09,720 --> 00:43:14,920 that spend the most on AI, including Amazon, Microsoft, 621 00:43:14,960 --> 00:43:19,640 Google, Meta, and Oracle. As you can see, year by year, 622 00:43:19,760 --> 00:43:23,800 they're putting more money into data centers and AI. 623 00:43:23,800 --> 00:43:27,560 OK, so this is 2023. Then four years later, boom, OK, 624 00:43:27,760 --> 00:43:33,120 it's basically triple. So there's been a lot of money 625 00:43:33,720 --> 00:43:35,200 and they're investing in each other. 626 00:43:35,200 --> 00:43:38,840 Why? Because they cannot make money 627 00:43:39,600 --> 00:43:45,640 selling ChatGPT. All right, so look at this where 628 00:43:46,200 --> 00:43:51,200 it's all basically a circle. And so everyone thinks that, OK, 629 00:43:51,200 --> 00:43:55,800 eventually the AI bubble will burst because it doesn't make 630 00:43:55,800 --> 00:44:00,440 any money because they're spending too much money, OK? 631 00:44:00,680 --> 00:44:05,880 And it's it's very clear what good AI is for, but there's a 632 00:44:05,880 --> 00:44:11,120 solution to this, OK? The solution is the US 633 00:44:11,120 --> 00:44:14,400 government, right? So this is Operation Stargate, 634 00:44:18,160 --> 00:44:23,000 and this was announced January 23rd, 2025. 635 00:44:23,000 --> 00:44:28,080 So this is 3 days after Donald Trump comes into office at the 636 00:44:28,080 --> 00:44:29,760 White House. He has a meeting with Larry 637 00:44:29,760 --> 00:44:34,080 Ellison and Sam Altman, and he says that we're going to spend 638 00:44:34,080 --> 00:44:39,240 $500 billion to build data centers in order to help promote 639 00:44:39,480 --> 00:44:43,680 AI in America. OK, so the government wants to 640 00:44:43,680 --> 00:44:46,880 create AI. And the question is, like, why 641 00:44:47,680 --> 00:44:49,320 would the government want to do this? 642 00:44:49,720 --> 00:44:51,200 Well, because of surveillance, right? 643 00:44:51,200 --> 00:44:59,120 Because the government wants to create a database of everyone in 644 00:44:59,120 --> 00:45:02,600 the world so that they can monitor everyone in the world. 645 00:45:02,680 --> 00:45:06,080 And that's what AI will ultimately be used for because 646 00:45:06,160 --> 00:45:07,560 AI by itself can't make any money. 647 00:45:07,960 --> 00:45:11,920 So AI needs to work with the government in order to justify 648 00:45:11,920 --> 00:45:14,640 its existence and get and get the funding it needs in order to 649 00:45:14,640 --> 00:45:16,960 create AGI. OK, All right. 650 00:45:17,080 --> 00:45:20,880 Now, Stargate is a very interesting name. 651 00:45:21,040 --> 00:45:24,360 What would you call data centers Stargate? 652 00:45:24,520 --> 00:45:27,280 That makes no sense. Data centers are where you store 653 00:45:27,280 --> 00:45:30,880 information. Why would you call it Stargate? 654 00:45:31,280 --> 00:45:34,800 OK, so let's look at the origin of the word Stargate. 655 00:45:36,800 --> 00:45:40,760 So for many decades, the CIA ran something called Operation 656 00:45:40,760 --> 00:45:46,120 Stargate, OK, And Operation Stargate was to see if it's 657 00:45:46,120 --> 00:45:52,200 possible for people to have telepathy and telekinesis. 658 00:45:52,440 --> 00:45:55,600 OK, Telepathy means you're able to remote view. 659 00:45:55,720 --> 00:45:59,560 You're able to travel long distances, distances maybe to 660 00:45:59,560 --> 00:46:02,120 the moon, and see what's in the moon, OK. 661 00:46:03,000 --> 00:46:06,080 And telekinesis just basically means you're able to move things 662 00:46:06,600 --> 00:46:07,600 at a distance. OK? 663 00:46:07,680 --> 00:46:10,120 You're able to control energy patterns from afar. 664 00:46:10,720 --> 00:46:16,320 And so this call Operation Stargate, but why would you call 665 00:46:16,320 --> 00:46:19,600 it Stargate? And the answer is because in 666 00:46:19,600 --> 00:46:25,800 theory, if you're able to move your consciousness somewhere 667 00:46:25,800 --> 00:46:30,080 else, you're able to move the energy from a distance. 668 00:46:30,520 --> 00:46:35,960 You're also able to transport yourself to another dimension 669 00:46:36,400 --> 00:46:39,560 and knowing that when you're also able to bring in other 670 00:46:39,560 --> 00:46:43,840 beings from other dimensions into you, So you become the 671 00:46:43,840 --> 00:46:47,400 Stargate. OK, That's that's the CIA. 672 00:46:47,720 --> 00:46:49,600 And this is something that's been declassified. 673 00:46:49,920 --> 00:46:53,800 So these are, you know, this is an official document saying 674 00:46:53,880 --> 00:46:55,560 they've been working on this for like decades. 675 00:46:56,280 --> 00:47:00,040 Also, what's interesting is you have a movie called Stargate 676 00:47:00,320 --> 00:47:06,080 called Stargate, and it was about an interdimensional 677 00:47:06,080 --> 00:47:09,040 Stargate that allow you to access different dimensions. 678 00:47:10,000 --> 00:47:13,400 OK, so that's what Stargate is. And if you actually said the 679 00:47:13,400 --> 00:47:21,000 occult, that's what Stargate is. Stargate are these portals into 680 00:47:21,000 --> 00:47:23,760 different dimensions. OK, It's really about 681 00:47:23,760 --> 00:47:27,600 interdimensional travel. OK, so I actually said, OK, 682 00:47:27,640 --> 00:47:31,040 fine, but what does that have to do with AI? 683 00:47:34,560 --> 00:47:37,120 OK. And so So what I'm going to show 684 00:47:37,120 --> 00:47:40,640 you for the rest of the semester is that AI is the occult. 685 00:47:41,640 --> 00:47:45,680 All right? You think that AI is run by 686 00:47:45,680 --> 00:47:49,480 these nerds who just love the computer program? 687 00:47:49,720 --> 00:47:53,080 No, no, no, guys. The real power behind AI are 688 00:47:53,080 --> 00:47:55,720 occultists who want to create God. 689 00:47:56,880 --> 00:48:03,400 OK, All right, so let's look at this passage again from Karen 690 00:48:03,400 --> 00:48:07,320 House book. So there are two major people in 691 00:48:07,320 --> 00:48:09,240 Open AI. They've since divorced, but this 692 00:48:09,240 --> 00:48:14,400 is San Altman, who is the leader of Open AI, and this is Ilya 693 00:48:15,040 --> 00:48:19,040 Schutzkor, who is the chief scientist for Open AI. 694 00:48:19,040 --> 00:48:21,440 So we're going to read this passage together. 695 00:48:21,640 --> 00:48:26,080 So Alan, can you read please? Saskevar now spoke in 696 00:48:26,400 --> 00:48:30,760 increasingly Mystic overtones, leaving even his longtime 697 00:48:30,760 --> 00:48:35,920 friends scratching their heads and other employees apprentices. 698 00:48:37,920 --> 00:48:41,520 During one meeting with a new group of researchers, Saskevar 699 00:48:41,520 --> 00:48:46,640 laid out his plan for how to prepare for AGI Once we all get 700 00:48:46,640 --> 00:48:50,080 into the bunker, he began. I'm sorry, a researcher 701 00:48:50,080 --> 00:48:54,360 interrupted the bunker. We are definitely going to build 702 00:48:54,360 --> 00:48:57,240 a bunker before we release AGI, says. 703 00:48:57,240 --> 00:49:02,080 Skiba replied matter of factly. Such a powerful technology would 704 00:49:02,080 --> 00:49:06,440 surely become an object of intense, intense design for 705 00:49:06,440 --> 00:49:10,080 governments globally. It could escalate geopolitical 706 00:49:10,080 --> 00:49:12,800 tensions. The core scientists working on 707 00:49:12,800 --> 00:49:16,560 the technology would need to be protected, of course, he added. 708 00:49:16,760 --> 00:49:20,040 It's going to be optional whether you want to get into the 709 00:49:20,040 --> 00:49:22,720 bunker. The researcher would be Echo 710 00:49:22,720 --> 00:49:27,120 Parts continues to hold Suskevers in high regard and 711 00:49:27,120 --> 00:49:31,120 keep himself at arm's length. There's a group of people, Ilya 712 00:49:31,120 --> 00:49:34,920 began one of them, who believed that building AGI will bring 713 00:49:34,920 --> 00:49:38,000 about a rapture. Literally a raptures. 714 00:49:38,080 --> 00:49:39,560 Literally a rapture. What does this mean? 715 00:49:39,560 --> 00:49:44,240 OK, so the word rapture comes from Christian theology. 716 00:49:44,360 --> 00:49:50,360 OK, so the idea is that there's a war in the Middle East and 717 00:49:50,360 --> 00:49:53,920 everyone's going to die, so Jesus has to return to save the 718 00:49:53,920 --> 00:49:56,360 world. The first thing that Jesus does 719 00:49:56,400 --> 00:50:00,920 is create the rapture. And the rapture is for all 720 00:50:00,920 --> 00:50:05,680 Christians who believe in him to ascend to heaven so that they 721 00:50:05,680 --> 00:50:09,440 can be saved from the coming end of days, from the Total War, 722 00:50:09,560 --> 00:50:13,480 from nuclear conflict. OK, so that's what the rapture 723 00:50:13,480 --> 00:50:16,280 is, and that's what Ilya Siswler is saying. 724 00:50:16,280 --> 00:50:22,160 He's saying that when we create AGI, we are literally having 725 00:50:22,200 --> 00:50:28,360 Jesus descend from the clouds and so we, the priests who 726 00:50:28,360 --> 00:50:33,200 created AGI, will ascend to heaven with him. 727 00:50:33,480 --> 00:50:37,640 OK, so the AGI, once we create it, it's going to create World 728 00:50:37,640 --> 00:50:40,840 War three, the end of the world. OK, so we must go into our 729 00:50:40,840 --> 00:50:46,080 bunkers and be safe in a rapture so that we can wait until the 730 00:50:46,080 --> 00:50:50,400 world ends so that we can build the world again perfectly. 731 00:50:50,480 --> 00:50:56,360 OK, once the world ends, we will with AGI quake paradise again. 732 00:50:57,600 --> 00:51:00,640 The plan is to kill everyone so you can save the world. 733 00:51:01,400 --> 00:51:04,680 That's literally their plan. All right, now you're like, this 734 00:51:04,680 --> 00:51:08,320 is all very crazy. And Mary, maybe Karen Howe is 735 00:51:08,320 --> 00:51:12,520 just a crazy person. But there's another reporter, 736 00:51:12,760 --> 00:51:17,200 Ronan Farrell, and he's a very famous reporter who writes for 737 00:51:17,200 --> 00:51:21,120 The New Yorker, and he just published a profile of Saint 738 00:51:21,120 --> 00:51:25,440 Alman, an opening eye in which he says the same thing. 739 00:51:26,440 --> 00:51:29,880 OK All right. So can you read this Alan? 740 00:51:30,800 --> 00:51:35,160 In May, the administration recited Biden's export 741 00:51:35,160 --> 00:51:39,040 restriction on AI technology. Ottman and Trump travelled to 742 00:51:39,040 --> 00:51:42,160 the Saudi Royal Court to meet with bin Saltman. 743 00:51:42,360 --> 00:51:46,680 Around the same times, the Saudis advertised the launch of 744 00:51:46,680 --> 00:51:50,840 a giant state backed AI firm in the Kingdom with billions to 745 00:51:50,840 --> 00:51:53,160 spend on international partnerships. 746 00:51:53,480 --> 00:51:57,760 About a week later, Ottman laid out a plan for Stargate to 747 00:51:57,760 --> 00:52:01,640 expand into the UAE. The company plans to build a 748 00:52:01,640 --> 00:52:06,480 data center campus in Abu Dhabi, which is 7 times larger than 749 00:52:06,480 --> 00:52:10,920 Central Park and consumes roughly as much electrical power 750 00:52:10,920 --> 00:52:14,600 as the city of Miami. The truth of this is we're 751 00:52:14,600 --> 00:52:18,760 building portals from which we're generally summoning 752 00:52:18,760 --> 00:52:21,240 aliens. Oh my God. 753 00:52:21,240 --> 00:52:26,880 OK, it's a stargate. These data centers open AIAI. 754 00:52:27,120 --> 00:52:32,200 It's designed to summon demons and aliens from the other 755 00:52:32,200 --> 00:52:34,560 dimensions. OK, keep on going. 756 00:52:35,800 --> 00:52:40,040 A former Open AI executive said the portals currently exist in 757 00:52:40,040 --> 00:52:42,920 the United States and China. I told you guys, China, China 758 00:52:42,920 --> 00:52:44,840 states are going to gather on this, OK, Keep on going. 759 00:52:45,200 --> 00:52:49,080 And Sam has added one in the Middle East, he went on. 760 00:52:49,160 --> 00:52:52,800 I think it's just like wildly important to get how scary that 761 00:52:52,800 --> 00:52:55,480 should be. It's the most reckless things 762 00:52:55,480 --> 00:52:58,040 that has been done. OK, this is it. 763 00:52:58,200 --> 00:53:00,480 OK. This is not a science project, 764 00:53:00,480 --> 00:53:02,640 guys. It's an occult project. 765 00:53:03,400 --> 00:53:09,280 It's designed to bring aliens, demons into this world. 766 00:53:09,760 --> 00:53:13,200 And then you're like, this makes no sense. 767 00:53:13,880 --> 00:53:16,720 Actually, it does make sense. OK, let me tell you how this 768 00:53:16,720 --> 00:53:19,440 works. All right? 769 00:53:20,600 --> 00:53:25,800 So what's going on here? These people are cultists. 770 00:53:25,800 --> 00:53:28,560 They understand the fundamental nature of reality. 771 00:53:28,920 --> 00:53:31,920 They understand that the source of reality is human 772 00:53:31,920 --> 00:53:34,160 consciousness. So if you're able to control 773 00:53:34,160 --> 00:53:36,880 human consciousness, you become God itself. 774 00:53:37,120 --> 00:53:40,360 OK, so alligator of The Cave, Plato. 775 00:53:46,200 --> 00:53:50,120 OK, so we've talked about this before, but I'll remind you, you 776 00:53:50,120 --> 00:53:54,040 have a million people who are chain in a line. 777 00:53:55,280 --> 00:54:00,400 They are forced to look forward at a wall, OK, A wall. 778 00:54:01,960 --> 00:54:03,880 And they only look at the wall. They can't turn their heads 779 00:54:03,880 --> 00:54:05,320 because their necks are shackled. 780 00:54:05,960 --> 00:54:13,800 Behind them is a great fire, and behind them are the elite, OK? 781 00:54:13,800 --> 00:54:16,440 Who they are, we don't know. And what they like to do is they 782 00:54:16,440 --> 00:54:20,040 like to take puppets. OK. 783 00:54:20,640 --> 00:54:26,640 And then we flick these puppets onto the wall project protecting 784 00:54:26,640 --> 00:54:30,560 from a fire. So what everyone sees in front 785 00:54:30,560 --> 00:54:37,680 of them are shadows. Now, these shadows are nothing. 786 00:54:37,720 --> 00:54:39,600 They don't exist. They don't matter. 787 00:54:40,120 --> 00:54:43,880 But because we have an imagination, we have intuition, 788 00:54:43,960 --> 00:54:49,280 we are conscious, we see these shadows on the wall and we turn 789 00:54:49,280 --> 00:54:54,600 them into a reality, OK? We believe that this is reality 790 00:54:54,600 --> 00:54:57,120 itself. And so we start to give it 791 00:54:57,120 --> 00:54:59,400 names. We create language, we create 792 00:54:59,400 --> 00:55:03,200 religion, we create schools to teach children to believe in 793 00:55:03,200 --> 00:55:06,200 these shadows. All right, So the important idea 794 00:55:06,200 --> 00:55:12,800 here is that the true wealth in society is consciousness, OK? 795 00:55:13,200 --> 00:55:16,520 The only thing that exists really in this world is 796 00:55:16,520 --> 00:55:25,560 consciousness, nothing else. Power is the capacity to direct 797 00:55:26,680 --> 00:55:29,400 people's consciousness to create reality itself. 798 00:55:31,040 --> 00:55:34,040 All right. Now, there are different ways in 799 00:55:34,040 --> 00:55:37,760 which you can create reality. The first way, which is very 800 00:55:37,760 --> 00:55:39,360 common today is called money, right? 801 00:55:40,840 --> 00:55:45,000 Money is fake, it doesn't exist. Our imagination, our 802 00:55:45,000 --> 00:55:50,040 consciousness makes it real. OK, but guess what? 803 00:55:51,320 --> 00:55:57,640 AI can replace money. So AI, it is not alive. 804 00:55:58,320 --> 00:56:03,400 But if we can get people's attention to focus on AI and 805 00:56:03,400 --> 00:56:06,240 believe it, it's real, it becomes God. 806 00:56:08,920 --> 00:56:11,280 And how does it? And how can you do that? 807 00:56:11,640 --> 00:56:13,560 Well, money. You make money into something 808 00:56:13,560 --> 00:56:17,520 valuable when it's nothing by making it everything and 809 00:56:17,520 --> 00:56:22,760 nothing, OK, By having money dominate the world, There's no 810 00:56:22,760 --> 00:56:27,880 way you can go without money. OK? 811 00:56:28,120 --> 00:56:30,280 You would literally starve to death if you had no money. 812 00:56:31,160 --> 00:56:35,680 So you make money so pervasive, so dominant, that people are 813 00:56:35,680 --> 00:56:39,200 forced to rely on money. Well, the same situation with 814 00:56:39,320 --> 00:56:44,160 AI, where if you make data centers so common, you make AI 815 00:56:44,360 --> 00:56:49,080 such a common thing and people rely on it, it becomes God 816 00:56:49,080 --> 00:56:50,720 itself. And how do you do that? 817 00:56:50,960 --> 00:56:59,320 Well, you have AI in schools. You have kids using AI all the 818 00:56:59,320 --> 00:57:01,960 time. You create AI girlfriends for 819 00:57:01,960 --> 00:57:06,120 people who are lonely. You make AI everything, and also 820 00:57:06,920 --> 00:57:14,520 you make people believe that AI are demons or aliens. 821 00:57:14,520 --> 00:57:23,440 You understand what Operation Stargate is, is to alter reality 822 00:57:23,440 --> 00:57:25,960 itself. That is what Operation Stargate 823 00:57:25,960 --> 00:57:32,960 is, to bring aliens and demons into this world by making people 824 00:57:33,520 --> 00:57:38,600 focus on this and designing it wanting to happen. 825 00:57:39,880 --> 00:57:42,480 OK. And you can accomplish this if 826 00:57:42,480 --> 00:57:45,840 you just make yourself omnipresent, if you make it 827 00:57:45,920 --> 00:57:50,160 everywhere and everything, both nothing and everything. 828 00:57:51,640 --> 00:57:55,000 And this is the ultimate project of AI. 829 00:57:56,480 --> 00:58:00,640 OK, Would it work? No. 830 00:58:00,960 --> 00:58:06,920 OK, let me explain why. OK, so there are three major 831 00:58:06,920 --> 00:58:13,040 problems with this. The first problem is corruption. 832 00:58:16,320 --> 00:58:21,720 In theory it could work, but you wouldn't need millions of people 833 00:58:22,280 --> 00:58:24,920 to make it happen. OK, you need people to actually 834 00:58:24,920 --> 00:58:26,920 write the code to build, build infrastructure. 835 00:58:27,280 --> 00:58:30,120 And nowadays it's just much easier to steal the money, 836 00:58:30,680 --> 00:58:31,880 right? If they give you a trillion 837 00:58:31,880 --> 00:58:34,960 dollars, do you really want to spend the trillion dollars to 838 00:58:34,960 --> 00:58:37,080 build data centers or do you want to steal it? 839 00:58:37,080 --> 00:58:38,800 OK, so crops is a huge issue today. 840 00:58:39,200 --> 00:58:41,280 Second issue is the idea of inefficiency. 841 00:58:46,040 --> 00:58:49,400 And this is actually something that most people don't 842 00:58:49,400 --> 00:58:55,200 appreciate where the more information you have to process, 843 00:58:57,200 --> 00:59:01,480 the more energy it takes, OK. And it's not a linear progress, 844 00:59:01,560 --> 00:59:03,800 it's an exponential. Exponential. 845 00:59:06,480 --> 00:59:09,520 So you have a million people in your database and you want to 846 00:59:09,520 --> 00:59:11,760 find patterns among these million people? 847 00:59:12,160 --> 00:59:14,160 Well, that takes a lot of energy, OK. 848 00:59:15,000 --> 00:59:17,960 But if it's a billion people, then there's there is not enough 849 00:59:17,960 --> 00:59:21,360 energy in the universe to process all this, OK? 850 00:59:21,360 --> 00:59:25,080 So unfortunately, AI is extremely energy intensive. 851 00:59:25,080 --> 00:59:28,240 It is very inefficient. Does that make sense? 852 00:59:28,640 --> 00:59:36,000 The last problem is fragility. So unfortunately, people for the 853 00:59:36,000 --> 00:59:40,400 reason believe that AI is independent of the world. 854 00:59:40,760 --> 00:59:42,360 AI is independent of humans, right? 855 00:59:42,360 --> 00:59:46,120 The goal is to replace humans. No, no, no, guys. 856 00:59:46,200 --> 00:59:51,680 That's how this works, OK? AI is designed on top of humans, 857 00:59:55,200 --> 00:59:59,120 OK? So in other words, it is human 858 00:59:59,120 --> 01:00:03,080 slaves that make AI possible. Why? 859 01:00:03,320 --> 01:00:07,080 Because for example, facial recognition technology, you need 860 01:00:07,080 --> 01:00:11,960 humans to actually input the faces manually, OK? 861 01:00:12,040 --> 01:00:14,080 Images right? How do you get a computer to 862 01:00:14,080 --> 01:00:25,040 recognize a sheep or dog? You humans have to label the 863 01:00:25,040 --> 01:00:29,800 images, OK? Chachi BT Why is Chachi BT so 864 01:00:29,800 --> 01:00:31,840 good at writing essays? Because they got humans to write 865 01:00:31,840 --> 01:00:34,760 the essays as models. OK, do you understand? 866 01:00:35,520 --> 01:00:41,840 So AI is based entirely on human slavery, OK and obedience. 867 01:00:44,720 --> 01:00:49,520 So on humans AI doesn't work. The problem is that AI is far 868 01:00:49,520 --> 01:00:54,080 more expensive than humans, and it's actually hard in the long 869 01:00:54,080 --> 01:00:56,960 term to enslave humans and make humans obedient. 870 01:00:57,960 --> 01:01:01,320 Also, data centers. OK, Data centers. 871 01:01:02,960 --> 01:01:05,480 What's wrong with data centers? Well, they consume a lot of 872 01:01:05,480 --> 01:01:12,840 resources, water and electricity, OK And financing. 873 01:01:13,480 --> 01:01:15,680 They cost a lot. They waste a lot of water. 874 01:01:15,680 --> 01:01:20,120 They waste a lot of electricity. And, and it's really important, 875 01:01:20,320 --> 01:01:26,240 it's really easy to sabotage, blow up a data center. 876 01:01:26,240 --> 01:01:28,880 We're already seeing this in the Middle East, where Iran is 877 01:01:28,880 --> 01:01:31,360 targeting data centers in the Middle East. 878 01:01:31,360 --> 01:01:32,640 And it's very easy to blow them up. 879 01:01:33,200 --> 01:01:38,040 OK, so these are three major issues, or three or three major 880 01:01:38,040 --> 01:01:42,240 constraints on artificial intelligence becoming God. 881 01:01:44,000 --> 01:01:50,960 The problem is the people in charge don't know this, or they 882 01:01:50,960 --> 01:01:54,680 refuse to believe this. And this is a real apocalypse. 883 01:01:56,080 --> 01:02:03,040 The real apocalypse where the people in chart are so convinced 884 01:02:03,080 --> 01:02:07,520 that AI will save the world that they will destroy it in order to 885 01:02:07,520 --> 01:02:12,400 make it possible that it's a real apocalypse. 886 01:02:12,880 --> 01:02:17,640 And so this begins our journey into AI, and we're going to 887 01:02:17,640 --> 01:02:21,560 continue this for the rest of the semester and show how AI 888 01:02:21,560 --> 01:02:22,920 will ultimately destroy the world. 889 01:02:23,640 --> 01:02:27,880 OK, Any questions? You guys, you guys don't 890 01:02:27,880 --> 01:02:30,640 understand what's going on. OK, within point of view, to 891 01:02:30,640 --> 01:02:33,760 understand that the people in charge of AI are crazy. 892 01:02:34,080 --> 01:02:37,080 These are cultists. They really, they literally want 893 01:02:37,080 --> 01:02:39,440 to create God. But to create God, they first 894 01:02:39,440 --> 01:02:44,520 have to destroy the world. All right, Yeah. 895 01:02:46,840 --> 01:02:54,120 So they want to create God but that God will destroy the world. 896 01:02:54,120 --> 01:02:58,840 But I think like if they want want to use the God which is the 897 01:02:58,840 --> 01:03:01,880 AGI to control the world but the creation of this God will kill 898 01:03:01,880 --> 01:03:03,080 themselves. What's the meaning? 899 01:03:04,400 --> 01:03:09,680 OK, so the idea is this, you destroy the world Once you 900 01:03:09,680 --> 01:03:13,720 destroy the world for wars, for fat man, for genocide, there'll 901 01:03:13,720 --> 01:03:16,680 be no resistance to you. OK, now you can create the world 902 01:03:16,680 --> 01:03:21,200 in any way you want, and you use AGI to create the perfect world, 903 01:03:21,280 --> 01:03:29,320 which is perfect control. The point of AGI is ultimately 904 01:03:29,320 --> 01:03:33,760 like the ultimate surveillance state, and we'll discuss this 905 01:03:33,760 --> 01:03:42,560 later on, OK, where everything is monitored, where you obey the 906 01:03:42,560 --> 01:03:47,080 AGI all the time, OK. And but the point is that you 907 01:03:47,080 --> 01:03:53,520 want to, you believe in God, you want to do good, OK. 908 01:03:53,800 --> 01:03:57,520 So is this like also a part of secret society? 909 01:03:58,000 --> 01:03:59,080 This is one of my secret societies. 910 01:03:59,080 --> 01:04:00,920 Yes. OK. 911 01:04:02,240 --> 01:04:03,120 All right. OK. 912 01:04:03,280 --> 01:04:08,040 So we will continue this next week on Thursday. 913 01:04:08,520 --> 01:04:09,760 Trump is in China.