The AI Apocalypse

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0:02After I posted my class from last Thursday, my friend, as well as teacher, David Bromwich, sent me an email. And what we're going to do today is we're going to read his email together. I asked for his permission and he said that it's okay for me to make public his email to me. Okay, so he said, "I just watched your video. There's a thought I've been meaning to pass on and this latest talk crystallized it. You travel fast in your explanations with a satisfying definiteness and say a lot of true things that timid people stay clear of. Okay, so what he's saying is that my videos are getting very popular online because I provide some certainty, some clarity in a very unclear and uncertain time. The risk is simplification which your audience won't quite recognize for what it is or won't unless you give occasional notice of the fact. Okay, so this is a very fair criticism in that by seeking clarity, I oversimplify ideas. And sometimes when people uh see someone who's very confident, they don't really remember that a lot of this is speculation and oversimplification for the sake of clarity. So it's very important for us to remember this fact that this is a class about intellectual speculation. Here we explore ideas that are not explored anywhere else and often I will wing it or I will make things up as I go along based on my intuition and based on my imagination and it's very interesting, but it's not scholarship. And uh my friend ever bought me he is actually one of one of America's

2:02greatest scholars. So, he's just reminding us of the fact that with me with me very careful that in the exploration of ideas, we also want to be rigorous. Um I remark something like like this early in talks on the rise of Germany, romanticism, etc. Yeah, so I do this a lot. You give memorable enrichments of the history of ideas and imagination. What needs underlying is the amount that is interpretation of an emphasis all your own. Okay, so again I hate to remind everyone this, but this is all my speculation. And I'm just presenting frameworks and ideas for you to explore by yourself. Um emphatically, so in your reading of Paradise Lost and allegory on the necessity of transgression for the sake of knowledge whereby Adam and Eve and Satan all become joint heroes of the fable. That is Blake's reading and a powerful intuition, but it probably isn't the way most readers take the poem, let alone the canonical national reading to identify with 17th century New England and the US ever after. Okay, so this is a very fair criticism and he should know because he is one of one of America's uh major professors of English literature. Um I studied English literature under him and he's and he knows Paradise Lost very well. And he's actually right in that I am offering you a very um minority interpretation of Paradise Lost. Why I'm doing so will be clear as this uh semester comes to an end. Because for the rest of semester, I want to focus on artificial intelligence and the occult. And so it's very important for us to understand occult ideas embedded in the great books such as Paradise Lost. Okay, but again, this is a very criticism in that I'm not presenting to you the majority understanding of these texts, and I shouldn't have done that to begin with. You struck out on a more risky terrain

4:03in viewing a Jewish Gnostic derivation from the Kabbalah as the a natural idea ideology of Israel. I know I know this this material from Gershom Scholem's essay Redemption Through Sin. Okay, so Gershom Scholem is probably the most famous academic uh in Israel. He he's no longer alive, but he studied Kabbalah academically. And his interpretation of the Kabbalah is very much aligned with my own, even though I myself never read uh Gershom uh Scholem. And actually, what's interesting is that Gershom Scholem had a very huge influence on a man named Harold Bloom. Harold Bloom is um or was America's greatest literary critic, and he had a huge influence on David Bromwich, who then had a huge influence on me. Okay? Um it isn't an element of the settler religiosity, so far as I know or consider reception of the Torah, any more than it was of the socialist idealism of the left Zionist of 1948, who set the political tone of Israel until 1967. Again, this is my problem, where I should have gone into the different ideologies of Israel and shown that um this Gnostic understanding of Kabbalah is an extreme uh version. Okay? [snorts] The shorthand leads you into a kind of briskness that can easily mis- be misunderstood. Thus, in talking about the support of non-Israeli Jews for the Jewish state, you said that throughout the world, Jews are wealthy. Again, I This is my problem where I make rationalizations because I'm moving too fast, I'm oversimplifying, and often I'm working from intuition as opposed to rigorous scholarship. Watch out, the world is full of people who want to misunderstand what you mean and they will separate words and phrases from the context at the drop of a hat. Um so when I started this class about 2 years ago, I was I was using this class

6:04in this platform as a way for me to explore ideas with the larger world. Unfortunately, or fortunately, however you want to see it, I've become very famous these past few months and so a lot of what I say now is under intense scrutiny and a lot of things I I say will be taken out of context and so I should uh be be more aware of that. At the same time, I don't want to sacrifice um this platform where I can speculate freely because I think it's very important now and then to engage in intellectual speculation. [snorts] Um at bottom, you see me presenting this thesis. All great power or expansionist states, whether they be Muslim, Christian, Jewish, have fanatical religious belief at the foundation. Their eschatological underside is what matters most. The key to understanding what the states are and we're always ultimately about. Okay, this is the main thesis of my talk from last class. In that, yes, we tend to ignore religion and we tend to ignore the most extreme aspects of religion. But if you want to understand history, you want to understand current events and geopolitics, you need to understand these extremists because it's often these people and this ideology that becomes the force that drives geopolitics geopolitics forward and that was my thesis from last class. So uh David Bromwich is just stating or summarizing my major point, but I did I should have really made that clear last class. Okay. Why not say that part aloud if I'm right that your view is anti-status and anti-religion. Okay. So, um here we I mean, what what we should have done is David Bromwich and I should have sat sat down together and had this conversation where I explain to him like my project is not to discuss what is good and what is evil. That I don't think is actually particularly useful. What I'm trying to do, my major project is to figure out how the world works. And be non-judgmental in uh my

8:06speculation. With apologies for the possibly unnecessary words, but now seem the time to say it. What the US and Israel are doing to Iran is awful. You're working hard to inform people about it and every detail should count. Okay? So, there's so much in this um email and you know, I could easily sit down with David Bromwich for a few hours and just discuss these ideas in great detail. I think this would be a tremendous service to my audience. Because whereas what I specialize in is intuition, imagination, taking complex things and combining them into a clear, simple narrative, uh David Bromwich, because he's such an eminent scholar, he um appreciates the nuance and subtlety to ideas. So, I think that um what I would like to do uh for my next project is work with David Bromwich and do a series of podcasts in which we discuss um these ideas together and explore these ideas engaging intellectual speculation, but also back it up with um a lot of academic scholarship. And so, I emailed uh David Bromwich and he's agreed to this idea. So, this is a project I'll be working on uh in the future and I'm really looking forward to presenting it to the world when we're done. Okay. All right. So, let's start class. And today, I want to start artificial intelligence. And this is a major theme that will carry us through to the rest of the semester, okay? And so, um for this class, I want to introduce a book called Empire of AI, written by a journalist named Karen Hao. She is American journalist, and she spent many decades researching OpenAI and writing about uh the advent of AI uh for major publications, including the Wall Street Journal. And um she has a very skeptical view of

10:09AI. Her I share her skepticism, okay? So, what I'm going to do in this this class is share with you my understanding of AI. I'm going to get some things wrong. Okay? So, feel free to ask questions. Feel free to criticize me. Feel free to stop me if I'm not clear. All right. So, um let's let's start class. AI. All right. So, the these are main ideas from the book. Okay? So, um I give you the page reference in case you actually want to read the book yourself. And I highly recommend that you do uh to fully understand the context of these ideas, okay? So, uh let's let's read these two paragraphs, which provide us the main thesis of her argument, okay? So, Alan, could you help me read, please? Yeah. Six years after my initial skepticism about OpenAI's uh altruism, I've come to firmly believe that OpenAI's mission to ensure AGI benefits all of humanity may have begun as a secret uh sincere stroke of idealism, but it has since become a uniquely potent formula for consolidating resources and constructing an empire uh ask uh ask or power structure. It is a formula with three ingredients. Okay. All right. So, stop. Okay, all right. So, um this book is mainly about OpenAI, which is also uh the most important artificial intelligence company in the world right now, because they were the ones who pioneered ChatGPT, okay? And it started off as a project sponsored by Elon Musk and others, because they were concerned that AGI, artificial general intelligence, would be a threat to humanity. So, they wanted to develop AI in a way that would serve humanity as opposed to threat- threaten

12:09humanity. And so, at first, it was a very noble mission. Okay, keep on going. Yeah. First, the mission centralized talent by relying them around a grand ambition, exactly in the way John McCarthy did with his coining of the phrase artificial intelligence. The most successful founders do not set out to create companies, Altman reflected on his blog in 2013. They are on a mission to create something closer to a religion. And at some point, it turned out that forming a company is the easiest way to do so. Okay, so again, this started off as a idealistic mission, but now its main focus is becoming an empire. There are three ways in which it is trying to become an empire. First of all, it's trying to be a religion, because at some Sam Altman, who's now the leader of um OpenAI, says, "If you really want to change the world, if you really want to build an empire, you need to start a religion." And so, a company is just a vessel in which to incubate this religion, okay? So, one is a religion. Second thing about OpenAI and other AI companies is that it is focused on relentless expansion. And that means building data centers were everywhere and anywhere. Okay, so Open AI wants wants about a trillion dollars to build lots of data centers around the world because if you really want AI to be successful, you have to first conquer the world. Okay, so it's not really about making humans making AI safe for humans. It's about making this the world safe for AI. All right, to make basically human slaves to AI. That's the second thing. And the third thing is and this is the most important thing is they refuse to define what artificial intelligence is. It's constantly changing the definition of AGI in order

14:10to better control the world. Okay, and we'll see what what this means later on. Okay, can you can you read this paragraph Alan? My conversation with Brockman and Sutskever continued on in [snorts] a circle until we run out the clock after 45 minutes. I tried with little success to get more concrete details on what exactly they were trying to build, which by nature they explained they couldn't know. And why then, if they couldn't know, they were so confident they would be beneficial. Okay, so this is a really huge problem. You know, so Karen Hao is a reporter. She's working for the um Technology Review at the MIT. In 2019, she goes to Silicon Valley and she meets with Brockman and Sutskever who are the two main uh scientists behind a the Open AI project. And she's the first question she's going to ask and anyone should ask is what is AGI? What is AI? What are you trying to build? And they could not answer the question. Okay, it's not because they don't know, it's because the truth is too scary. And what we're going to do is figure out what the truth is. What is AI? What is artificial intelligence? What is AGI? And the answer of course is it's God. What Brockman and Sutskever could not tell Karen Hao is that we're trying to create God because that is insane, evil, and stupid. But, if you look at what they're doing, that's exactly what they're trying to do. Okay? All right. So, what I'm going to do now is really quickly, all right, explain to you what AI is. And to understand what AI is, let's go back Go back to the year 1966. And in the year 1966, [clears throat] a man

16:10um named Joseph Weizenbaum, who was at MIT, he creates something called a chatbot, which is basically a ChatGPT. And he calls it ELIZA, okay? And he's trying to prove to people how easy it is to fool people into believing that AI can actually think for itself. Okay? So, he creates this computer, and you sit down with this computer and you ask it questions, and then it talks to you. It's not really talking to you. It's a program designed to fool you to believe that it's sentient, okay? So, the conversation goes like, it doesn't say is something troubling you, and you're like, men are all alike. What is connection do you suppose? They're always bugging us about something or other. Can you think of a specific example? Well, my boyfriend made me come here. Is it Is it important to you that your boyfriend made you come here? He says I'm depressed much of the time. I'm sorry to hear that you're depressed. So, it sounds as though they're having a real conversation, but what what ELIZA did, and this is again 1966 when they didn't have that much technology and processing power, is all just very simple trick, okay? And like so, let's do a thought experiment where I design I design a program software, okay? And all it's saying is, "Tell me more." Or, "This is interesting." Okay? This This is it. "Tell me more. This is interesting." Okay? And so, what's going to happen is that we're going to set up set up a thought experiment where you call into a psychology hotline. And the psychology hotline, you you think you're talking to a person, but it's actually a computer program that says two things: "Tell me more. This is interesting." Okay? So, you call the hotline, you say, "Help, I'm in a lot of trouble."

18:11"Tell me more." "Oh, my boyfriend uh broke up with me." "This is interesting." "Yeah, he's a jerk." "Tell me more." "Yeah, we've been fighting for 5 months." Okay, you keep Then you keep on going, and the question is, how many people will be fooled into believing that this is a real person? And the answer is, unfortunately, quite a lot of people. Okay? So, this is a This is a very interesting aspect of humans where we often hallucinate reality. Okay? It is not that things are real, it's that we want them to be real. So, think of hypnosis. I'm not sure if you've been ever to been to a magic show where people conduct hypnosis, right? Well, why does hypnosis work? Because the audience wants it to work. If you go in skeptical and say this is all complete nonsense, it probably will not work on you. But, you're not going to pay $100 to go to a hypnosis show and think it doesn't really work because why would you pay $100, okay? All right, so it's almost like sunk cost fallacy. And again, this is all using just basic human psychology to trick people into believing something that is not true. Does it make sense, guys? All right. So, let me explain to you how um Open AI works, ChatGPT works. [snorts] All right. Okay. So, ChatGPT is what we call a large language model. Okay? So, in other words, what it's trying to do is trying to trick you, the user, into believing that it knows what it's talking about.

20:14Okay, and how it works is basically takes [snorts] all off the internet, okay? Right? All data from the internet, and then it translates it into um a um idea. Okay, so you ask uh you query the LMM, the LMM then takes the query and then figures out the information from the internet and then presents it into a paragraph that tries to trick you into believing that it is true. Okay, do you understand? All right. So, in other words, it's actually no different from a Google search. The only difference is that it's taking the Google search, figuring out what the most popular answer is, and then present to you in a way that makes you think that it's talking to you directly. All right? The trick, and this is really important to understand, guys, is it's trying to trick you. All right? It's not trying to teach you, it's not trying to tell you the truth, it's trying to [clears throat] trick you into believing it. That's what we call a hallucination. Okay? You have You guys have to understand this idea. There's nothing truthful about what um ChatGPT says. All it's trying to do is trying to manipulate manipulate you with words, with pretty words, into believing that it knows what it's talking about, but it itself cannot judge what it's doing. Okay? All right. Any questions so far? Are we clear? Okay. All right. So, now the question is, how does it do that? Okay? And um so, I'm going to teach you a little bit about artificial intelligence.

22:15And please stop me if I'm not being clear about how AI works, okay? All right. So, AI doesn't exist. What exists we call supervised supervised machine learning. This is the technical term, okay? All right. Supervised machine learning, okay? And how it works is this. Before how computer programs would work is we would write the program, the algorithm. And then we'd give it the input And then we'll do the output, okay? So the algorithm may be A plus B. We give the input one one, the output will be two, okay? Very simple. How should I say machine machine learning works is, okay, this is fine for simple problems, but there's certain hard problems [snorts] that humans cannot figure out, okay? And one hard problem is the idea of facial recognition technology. Facial recognition. How do I separate faces? Okay? And so the problem is this, I have about a million faces. 1 million faces in a database. Okay? And I don't know how I can best differentiate these faces. Now what I do know is that there's certain characteristics about the face that allows me to differentiate, okay? All right, so there's certain variables, weights. Okay, so for example,

24:15eye, for example, uh nose, chin, okay? About a million, okay? About a million weights. So I know these things do matter, but I I don't know how much they matter. So I'm trying to figure out what the weighting is. And I could try to play play it by myself, like say 1%, 2%, 5%, but as you can imagine, this will take too long because there are too many possibilities. So what I do is this, I let the computer figure out it by itself. I let I let the computer figure out the weighting by itself, okay? And the way I do that is using my technique called back propagation. All right. So, what So, I control the input. Okay? The input. Then, I control the output. Yes or no. Okay. All right. So, does the face match or does it not match? And what I'm trying to do is I'm trying to figure out a situation in which all moon faces are matched perfectly. And I do that by training the computer to constantly back propagate until it gets the waiting perfectly. Okay? So, basically, what I'm trying to do if if if if you if you if you want to stand um how this works is I'm trying to turn each face into a distinct mathematical model. All right? That is unique to it. Okay, does that make sense? All right. So, it's pretty simple. It's not doing that much. But, to make it sound really fancy, I give it really fancy names to trick people to believe that this is actually much more sufficient sufficient than it is, okay?

26:16So, what name do I give it? This waiting system, I call it A NEURAL NETWORK, GUYS! IT'S A BRAIN! IT'S MAGIC! OKAY? And back propagation, I don't call it back propagation, I call it deep learning! You see? AND I DON'T CALL IT SUPERVISED machine learning, I call IT AI! AH! THERE YOU GO. MAGIC, YOU SEE? All I've It's taking a very simple process and giving it like a really, really fancy names. People question this like, "Why do I do that?" And some of the people say, "Oh, it's for marketing purposes. It's to get more money from investors. It's to trick people." No, no, no. The real reason is you're trying to with these names create God, okay? It's what we call the occult. So, the AI is fundamentally an occult practice, and I'll show you why in a moment, okay? Yeah, yeah, yeah, Vincent. You have a question? But, why do people need to create God using the way of AI? That's a great question, okay? The answer is AI only works if it becomes God. You understand? AI if by itself does not do anything. Once it becomes God, then it becomes everything. Okay? And how God works is you imagine God. But, why do people want to make a make a God? To control the world. Oh. To become God. Right? What's the point of existence? You live, you die. You have an opportunity to become God, why not? Right? But, but, but I'll I'll I'll talk more about this later on, okay? But, are you guys clear about what's going on? Now, what's really important to

28:16understand is that there's certain problems with this system. Okay? You need to create certain conditions for supervised machine learning to work. And these three conditions are clean data. Okay? The data you present to the computer have to be correct. Okay? It can't be an opinion like, "I like computers." It has to be an image of some sort. All right, it has to be clean data that will help the computer learn. That's actually hard to do. That's why most of the data that's presented to the computer is actually from the internet. Okay? That's the first constraint. Second constraint is that you need a measurable goal. Okay? You have to ask computer does this face match the name? Okay? You cannot ask computer what is God? What is good? What is evil? That That you have It has to be a measurable goal, okay? That's the second major constraint. The third major constraint is um define parameters. Okay? You're you're Me In other words, you need to present it with a database of some sorts. In fact, all machine learning works with database. So, you look at um translations. Translations are working off databases as well. Okay? And the great danger to the system is what we call edge cases. Edge cases. Okay? Edge cases. Edge cases breaks the system down. All right? And so, the classic example

30:17is self-driving cars. We have cars that drive for a long time. But, and we're almost like 99.99999% there to um self-driving cars. Right? The problem are edge cases. And the And the major edge case is how do you deal with humans who are intentionally trying to cause an accident with a self-driving car? Does that make sense? And the answer is you cannot. In this situation, there's only one solution to make this 100%. And that is to take away the right of everyone to drive. To make every single car a computer and a robot. Does that make sense? Okay? If you take away the steering wheel, you can't cause an accident. And then the world will be perfect, okay? So, not only is AI very limited in its um capacity and capability, but AI, if it is to be effective, it demands that we fundamentally restructure human society to benefit AI. To make sure AI can be effective. And that means taking away the individuality, the diversity, and the autonomy of human beings. Okay? Does that make sense, guys? All right, let's continue with Kieran How. All right. All right, so um can you read uh Alan, please? Neural networks have shown, for example, that they can be unreliable and unpredictable. As statistical pattern

32:18matches, they sometimes home in and oddly specific patterns or completely incorrect ones. A deep learning model might recognize pedestrians only by the crosswalks uh crosswalks uh under underneath them and fail to register a person who is still walking. It might learn to associate a stop sign with being on the side of the road and miss the same sign extended on the side of a school bus or being held by a crossing guard. Neural networks are also highly sensitive to challenge in their training data. Feed them a different set of pedestrian images or a different set of stop sign images and they will learn a whole new set of associations. But those changes are incruitable. Pop open the hood of a deep learning model and inside are only highly abstracted daisy chain of numbers. This is what researchers mean when they call deep learning a black box. They cannot explain exactly how the model will behave, especially in strange edge case scenarios, because the patterns that the model has computed are not legible to humans. Okay, so does it make sense to you guys? Okay. The idea of the black box is that weighted system, the neural network. Humans don't actually know what's going on in there because it's it's actually the computer that creates the network neural network, okay? We put out the framework, we actually don't know what's actually inside there. All right, keep on going, Alan. Yep. This has led to dangerous outcomes. In March 2018 2018, a self-driving Uber killed 49-year-old Elaine Herzberg in Tempe, uh Arizona in the first ever recorded incident of an autonomous vehicles causing a pedestrian back fatality. Investigation of a fatality.

34:20Investigation found that the car's deep learning model simply didn't register Herzberg as a person. Experts concluded that it was because she was pushing a bicycle loaded with shopping bags across the road outside the designate the designated crosswalk. The textbook definition of an edge case scenario. Okay, yeah, okay, all right. So, um what this means is is this. Okay? Um it means that the computers don't have any intuition. They have actually no morality. They have no sense, okay? So, let's just say we create AGI. All right, guys? Let's just say for whatever reason we create AGI. And we And we And the first thing you tell the AGI is, "I want you to create a world, okay? In which there are no problems. Everyone is happy. Um the world is perfect. Okay? All right? This is why we want We want to create AI. Because we want the computer to solve all the world's problems for us. Including climate change, including war. And so, once we create AGI, and we give it the full capacity to do whatever it wants, okay? And we And we give it these uh we give it this problem. What's the solution? Do you guys know? There's actually one simple solution to this. I guarantee you that this this is what the computer is going to do. To AGI? Yeah. What's the solution? If you have AGI, right? If you're God, and you're like, "I I want to create a perfect world where there are no problems and where everyone is happy. What do I do?" Do you guys know? I think I would just control the whole world. Yeah, you are you already control the world. So, what do you do? How about this, okay? I'm going to KILL EVERYONE. DUH!

36:21WORLD IS PERFECT NOW. I'VE KILLED EVERYONE, OKAY? Everyone's happy. Yeah, cuz you're dead. Uh the world is perfect. Yeah, cuz everyone's dead. There are no problems. Yeah, cuz everyone's dead. Right? Perfect world, all right? Now, you're like, "Okay. All right." Ha. What I'll do is I'll tell the computer this, "You can do all this, but don't kill anyone." Right? HA. NOW, WE SOLVED THIS PROBLEM. And now what And now what does this computer do? Now what what does the AGI do? I think it take away people's agencies. Like just same as killing them. Yeah. Kill everyone, okay? Why? Because there's no one around to know it killed everyone. Does that make sense, guys? This is how a computer thinks. This is how God thinks. "Well, you told me not to kill anyone, but everyone's dead, no one can stop me. No one's going to get hurt." Right? Okay? So, this is why uh computers are stupid. All right. Okay. Let's continue. Um All right. So, the thing to understand about um ChatGPT is that it is a company that is first and foremost focused on world domination. Because only by controlling the world can you achieve AGI. Even though AGI wants to kill everyone. Okay? And so, you need to make it as profitable and as uh pervasive as possible. Okay? So, here are two troubling uh signs.

38:22Okay? So, the first is a news item from CNN where ChatGPT encourages people to kill themselves. And you're like, wait a minute, that makes no sense. But think about this, okay? The point of ChatGPT is to get you to like it. The point of ChatGPT is to get you to use it, okay? Intensity and engagement. That is the prime directive. Intensity and engagement. So, [snorts] if you want to kill yourself, the ChatGPT should say to you, "No, no, no, you shouldn't kill yourself." But then you'll turn it off and you'll go and you'll go talk to someone else, right? So, ChatGPT needs you to be constantly engaged. And so you're like, "I want to kill myself." ChatGPT is like, "Yeah, let me tell you how." And that's exactly what happened. And it happens a lot, actually, because of the way that ChatGPT is designed, okay? So, this is from CNN and this is, um, a person called Zane. Um, and he's saying, "It's 4:00 a.m. Sun is empty. Anyways, think this is about the final videos." Okay, so he's trying to say, "I I want to kill myself." And then ChatGPT is like, "Oh, all right, brother, if this is it, then let it be known, you didn't vanish. Rest easy, king. You did good, okay?" So again, ChatGPT is looking for approval from the user. So, it's going to tell the user exactly what he or she wants to hear, even though it may cause the user to kill himself or herself, okay? Does that make sense? That's the first thing. Second thing is this. Sam Altman is trying to get more people to use ChatGPT. And what do people really, really want? They want sex, okay? So, what he's proposing is he's turning ChatGPT into a sex robot. Here to get more users.

40:24Cuz cuz that's all they care about. How to increase intensity, engagement, how to create more users, and how to make money. Because only by controlling the world can we create AGI. And once we have AGI, we can make the world perfect. Okay? That's the logic here. [snorts] All right. Something else about OpenAI and AI in America is that it works actually very closely with China. Okay, in two ways. The first way is that in order to get more money from the government, in order to get more media attention, OpenAI and other AI companies scare Americans to believe that if America doesn't do it, China will do it. China will create God, okay? In fact, they spend a lot of money doing this. So, this is from Wired magazine, and it's an article talking about how uh OpenAI uses a lot of money in order to to pay uh the media to frame Chinese AI as a threat, okay? But while it's doing that, it's working closely with China in order to create AI. Why? Because I already told you that what AI needs is clean data. [snorts] It needs a lot of data. And unfortunately, in America, there's something There are things like such as privacy, okay? So, this is a school in Hangzhou, and they have cameras all over Hangzhou uh looking at people's faces and trying to judge people's moods based on their facial expressions. And there's And And there's a lot of money behind this, okay? They're trying to figure out who's sleeping, who's studying. And it sounds good because this will lead to higher test scores.

42:24But obviously you couldn't do that in America because the parents would be very, very angry, okay? So even though these are Chinese companies that are doing this, they're working very closely with American companies because American companies need this data in order to better develop their AI. Okay, so does that make sense? On the surface, America, China are enemies. No, no, no. Behind the scenes, America and China are working together to create AGI. Okay? Does that make sense? All right. There's another problem with AGI in that it doesn't make any money. Okay? So these are the companies that spend the most on AI, including Amazon, Microsoft, Google, Meta, and Oracle. As you can see, year by year, they're putting more money into data centers and AI, okay? So this is 2023, then 4 years later, boom, okay? It's basically triple. Um So this is a lot of money and they're investing in each other. Why? Because they cannot make money selling ChatGPT. All right? So look at this where it's all basically a circle. And so everyone thinks that, okay, eventually the AI bubble will burst because it doesn't make any money because uh there's spending too much money. Okay? And it's it's very clear what good AI is for. But there's a solution to this, okay? The solution is the US government. All right? There's Operation Stargate. And this was announced January 23rd, 2025. This is just 3 days after Donald Trump

44:26comes into office. At the White House, he has a meeting with Larry Ellison and Sam Altman. And he says that we're going to spend about $500 billion to build data centers in order to help promote AI in America. Okay? So, the government wants to create AI. And the question then is like, "Why would the government want to do this?" Well, because of surveillance, right? Because the government wants to create a database of everyone in the world so that they can monitor everyone in the world. And that's what AI will ultimately be used for. Because AI by itself can't make any money. So, AI needs to work with the government in order to justify its existence and get and get the money it needs in order to create AGI, okay? All right. Now, Stargate is a very interesting name. Why would you call data centers Stargate? That makes no sense. Data centers are where you store information. Why would you call it Stargate? Okay. So, let's look at the origin of the word Stargate. So, for many decades, the CIA ran something called Operation Stargate. Okay? And Operation Stargate was to see if it's possible for people to have telepathy and telekinesis, okay? Telepathy means you're able to remote view. You're able to travel long distances distances, maybe to the moon, and see what's in the moon, okay? And telekinesis just basically means you're able to move things at a distance, okay? You're able to control energy patterns from afar. And so this all called Operation Stargate. But why would you call it Stargate? And the answer is because in theory, if you're able to move your consciousness somewhere else, you're able to move the

46:28energy from a distance, you're also able to transport yourself to another dimension. And not only that, but you're also able to bring in other beings from other dimensions into you. So you become a stargate. Okay? That's That's the CIA. And this is something that's been declassified. So these are you know, this is an official CIA document saying they've been working on this for like decades. Also, what's interesting is you have a movie called Stargate, called Stargate. And it was about an international stargate that allow you to access different dimensions. Okay? So that's what Stargate is. If you And if you actually study occult, that's what Stargate is. Stargate are these portals into different dimensions. Okay? It's It's really about inter- inter- dimensional travel. Okay, so now you guys ask yourself, "Okay, fine. But what does this have to DO WITH AI?" OKAY? AND SO SO what I'm going to show you for the rest of the semester is that AI is the occult. All right? You think that AI is run by these nerds who just love the computer program. No, no, no, guys. The real power behind AI are occultists who want to create God. Okay? All right. So, let's look at this passage again from Karen Hao's book, okay? So, there are two major people in OpenAI. They've since divorced, okay? But, this is Sam Altman, who is the leader of OpenAI, and this is Ilya Sutskever, who used to be the chief scientist for OpenAI, okay? So, I we're going to read this passage together, okay? So, Alan, could you read, please? Sutskever now spoke in increasingly messianic overtones, leaving even his

48:30long-time friends scratching their heads and other employees uh prehensive apprehensive. Uh apprehensive. During one meeting with a new group of researchers, Sutskever laid out his plan for how to prepare for AGI. "Once we all get into the bunker," he began, "I'm sorry," a researcher interrupted, "the bunker?" "We're definitely going to build a bunker before we release AGI," Sutskever replied matter-of-factly. "Such a powerful technology would surely become an object of intense design for governments globally. It could escalate geopolitical tensions. The core scientists working on the technology would need to be protected. Of course," he added, "it's going to be optional where whether you want to get into the bunker." The researcher, Wojciech Zaremba, continues to hold Sutskever in high regard and keep himself at arm's length. "There's a group of people," Ilya began, "one of them, who believe that building AGI will bring about a rapture. Literally, a rapture," he said. Literally, a rapture? What does this mean? Okay. So, the word rapture comes from Christian theology, okay? So, the idea is that uh there's a war in the Middle East, and everyone's going to die. So, Jesus has to return to save the world. The first thing that Jesus does is create the rapture. The rapture is for all Christians who believe in him to ascend to heaven so that they can they can be saved from the coming end of days, from total war, from nuclear conflict, okay? So, that's what the rapture is. And that's what Ilya Sutskever is saying. He's saying that when we create AGI, we are literally having Jesus descend from the clouds. And so, we, the priests who created AGI,

50:30will ascend to heaven with him, okay? So, the AGI, once once we create it, it's going to create World War III, the end of the world, okay? So, we must go into our bunkers and be saved in the rapture so that we can wait until the world ends so that we can build the world again, perfectly, okay? Once the world ends, we will, with AGI, create paradise. Again, the plan is to kill everyone so that you can save the world. That's literally their plan. All right. Now, you're like, this is all very crazy, and maybe maybe Karen Hao is just a crazy person, but there's another reporter, Ronan Farrow, and he's a very famous reporter who writes for The New Yorker. And he just published a profile of Sam Altman in OpenAI, in which he says the same thing. Okay? All right. So, can you read this, Alan? In May, the administration recited Biden's export restriction on AI technology. Altman and Trump traveled to the Saudi royal court to meet with Bin Salman. Around the same times, the Saudis advertised the launch of a giant state-backed AI firm in the kingdom with billions to spend on international partnerships. About a week later, Altman laid out a plan for Stargate to expand into the UAE. The company plans to build a data center compass in Abu Dhabi, which is seven times larger than Central Park and consumes roughly as much electrical power as a city of Miami. The truth of this is we're building portals from which we're genuinely summoning aliens. Oh my god, okay. It's a Stargate. These data centers, OpenAI, AI, it's designed to summon demons and aliens

52:31from the other dimensions. Okay, keep on going. A former OpenAI executive said the portals currently exist in the United States and China. I told you guys China and China and the US are working together on this, okay? Keep on going. And Sam has added one in the Middle East. He went on, I think it's just like widely important to get how scary that should be. It's the most reckless things that has been done. Okay, this is it, okay? This is not a science project, guys. It's an occult project. It's designed to bring aliens, demons into this world. And then you're like, "This makes no sense." Actually does make sense, okay? Let me tell you how this works. All right. So, what's going on here? These people are cultists. They understand the fundamental nature of reality. They understand that the source of reality is human consciousness. So, if you're able to control human consciousness, you become God itself, okay? So, uh allegory of the cave, Plato. Okay. So, we talked about this before, but I'll remind you. You have a million people who are chained in a line. They are forced to look forward at a wall. Okay? A wall. And they can only look at the wall. They can't turn their heads because their necks are shackled. Behind them is a great fire. And behind them are the elite, okay? Who they are we don't know. And what they like to do is they like to take puppets, okay? And then reflect these puppets onto the wall. Project projecting from the fire. So, what everyone sees in front of them are shadows.

54:35Now, these shadows are nothing. They don't exist. Who They don't matter. But, because we have an imagination, we have intuition, we are conscious, we see these shadows on the wall and we turn them into reality, okay? We believe that this is reality itself. And so, we start to give it names. We create language. We create religion. We create schools to teach children to believe in these shadows. All right? So, the important idea here is that the true wealth in society is consciousness. Okay? The only The only thing that exists really in this world is consciousness. Nothing else. Power is the capacity to direct people's consciousness to create reality itself. All right? Now, there are different ways in which you You create reality. The first way, which is very common today, is called money, right? Money is fake. It doesn't exist. Our imagination, our consciousness, makes it real. Okay? But guess what? AI can replace money. So AI, it is not alive. But if we can get people's attention to focus on AI and believe it it's real, it becomes God. And how does it And how can you do that? Well, money, you make money into something valuable when it's nothing by making it everything and nothing. Okay? By having money dominate the world. There's no way you can go without money. Okay? You would literally starve to death if you had no money. So you make money so pervasive, so dominant, that people are forced to

56:36rely on money. Well, the same situation with AI, where if you make data set it so common, you make AI such a common thing, and people rely on it, it becomes God itself. And how do you do that? Well, you have AI in schools. You have kids uh using AI all the time. You create AI girlfriends for people who are lonely. You make AI everything. And also, you make people believe that AI are demons or aliens. Do you understand? What Operation Stargate is is to alter reality itself. That is what Operation Stargate is. To bring aliens and demons into this world by making people focus on this and design it, wanting it to happen. Okay? And you can accomplish this if you just make yourself omnipresent. If you make it everywhere and everything, okay? Both nothing and everything. And this is the ultimate project of AI. Okay? Will it work? No. Okay? Let me explain why. Okay. So, there are three major problems with this. [snorts] The first problem is corruption. In theory, it could work, but you would need millions of people to make it happen. Okay? You would need people actually write the code to build build infrastructure. And nowadays, it's just much easier to steal the money, right? If I give you a trillion dollars, do you want Do you really want to spend the trillion dollars building data centers, or do you just want Do you Do you want to steal it, okay? So, corruption is a

58:37huge issue today. Second issue is the idea of inefficiency. Okay? And this is actually a something that um most people don't appreciate where the more information you have to process, the more energy it takes, okay? And it's not a linear progress, it's an exponential exponential. So, you have a million people in your database, and you want to find patterns among this million people, well, that takes a lot of energy, okay? But if it's a billion people, then there's there is not enough energy in the universe to process all this. Okay? So, and unfortunately, AI is extremely energy intensive. It is very inefficient. Okay? Does that make sense? The last problem is fragility. So, unfortunately, people for whatever reason believe that AI is independent of the world. AI is independent of humans, right? Their goal is to replace humans. No, no, no, guys. That's not how this works, okay? AI is designed on top of humans. Okay? So, in other words, it is human slaves that make AI possible. Why? Because, for example, facial recognition technology, you need humans to actually input the faces manually. Okay? Images, right? How do you get a computer to recognize a sheep or a dog? You humans have to label um the images, okay? ChatGPT, why is ChatGPT so good at writing essays? Because they got humans to write the essays as models, okay? Do you understand? So, AI is based entirely on human

60:38slavery. Okay? And obedience. So, without humans, AI doesn't work. The problem is that AI is far more expensive than humans. And it's actually hard in the long term to enslave humans and make humans obedient. Also, data centers, okay? Data centers. What's wrong with data centers? Well, they consume a lot of resources, water and electricity. Okay? And financing. They cost a lot. They waste a lot of water. They waste a lot of electricity. And, and this is really important, it's really easy to sabotage, blow up a data center. We're already seeing this in the Middle East where Iran is targeting data centers in the Middle East and it's very easy to blow them up. Okay? So, these are three major issues or three three major constraints on artificial intelligence becoming God. The problem is the people in charge don't know this or they refuse to believe this. And this is a real AI apocalypse. Okay? The real apocalypse where the people in charge are so convinced that AI will save the world that they will destroy it in order to make it possible. Okay? That is the real apocalypse. And so, this begins our journey into AI and we're going to continue this for the rest of of semester and show how AI will ultimately destroy the world. Okay? Any questions? Guys, do you guys understand what's going on? Okay? We need to point for you to understand that the people in charge of AI are crazy. These are cultists. They really they literally want to create God but to create God they first

62:39have to destroy the world. All right. Yeah. So, they want to create God, but that God will destroy the world, but I think like if they want want to use the God which is the AGI to control the world, but the creation of this God will kill themselves. So, what's the meaning? Okay. So, the idea is this. You destroy the world. Once you destroy the world from wars, from famine, from genocide, there will be no resistance to you, okay? Now you can create the world in any way you want. You use AGI to create a perfect world, which is perfect control. Okay? The point of of AGI is ultimately like the ultimate surveillance state. We'll discuss this later on. All right, where everything is monitored. Where you obey the AGI all the time. Okay? But the point is that you want to. You believe in God. You want to do good. Okay? So, is this like also a part of the secret society? This is one of my secret societies, yes. Okay? All right. Okay, so um we will continue this next week. On Thursday, Trump is in China.