Predictive History - The Story of "Civilization", "Secret History", "Game Theory" and more - Game Theory #24: The AI Apocalypse

Episode Date: May 13, 2026

Game Theory #24: The AI Apocalypse

After I posted my class from last Thursday, my friend, as well as teacher, David Bromwich, sending 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 deppiness and say a lot of true things that people stay clear off. 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 saying clarity, I oversimify ideas. And sometimes when people 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 my friend David Bromwich, he is, actually one of America's greatest scholars. So he's just reminding us of the fact that we have to be very careful

that in the expression of ideas, we also want to be rigorous. I remarked something like this early in talks on the rise of Germany, romanticism, et cetera. Yeah, so I do this a lot. You give memorable abridgments 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, And 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. Emphatically, so in your reading of Paradise Law is an allegory of necessity of transgression for the sake of knowledge, whereby Adam and Eve and Sid 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 point. home, let alone the canonical national reading to identify of 70th 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 America's major professors of English literature. I studied English literature under him, and he knows paradise laws very well. And he's absolutely right in that I am offering you a very minority. interpretation of Paradise Lost. Why I'm doing so will be clear as this semester comes to an end because for the rest of the 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 fair criticism in that I'm not presenting to you the majority understanding of these texts and I should have done that to begin with You struggle on a more risky terrain in viewing a Jewish Gnostic duration from the Kabbalah as the national ideology of Israel. I know this material from Gershom Shalom's essay, Redemption for Sin. Okay, so Gershom Shalom is probably the most famous academic in Israel. He's no longer alive, but he's still the Kabbalah academically. And his interpretation of the Kabbalam is very much aligned with my own, even though I myself never read. Gershom Shalom. And actually what's interesting is that Gershom Shalom had a very huge

influence on a man named Harold Bloom. Hero Bloom is 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? It is an element of a settler religiosity so far as I know or consider of the Reception of the Torah any more than it was of a 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 this Gnostic understanding the Kabbalah is an extreme version.

Okay? The shorthand leads you into a kind of gristness that can easily be misunderstood. In talking about the support of non-Israeli Jews for the Jewish state, you say that throughout the world, Jews are wealthy. Again, this is my problem where I make rationalizations because I'm moving too fast, I'm oversimifying, 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. So when I started this class about two years ago, I was using this class and this platform as a way for me to explore ideas with a 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 say will be taken out of context, and so I should be more aware of that.

time I don't want to sacrifice this platform where I can speculate freely because I think it's more important now and then to engage in intellectual speculation. At bottom, you seem to be presenting this thesis. All great power or expedition states, whether they be Muslim, Protestant, Jewish, have fanatical religious belief at their foundation, the eschatological underside is what matters most, the key of understanding of 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, if you 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 forward. And that was my thesis from last class. So David Bromwich is just stating or summarizing my major point.

But 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 here we, I mean, what we should have done is David Bromich and I should sit down together and have this conversation. We're explaining to him like my project is not to discuss what is good and what is good. is evil. That I don't think is actually pretty useful. What I'm trying to do, my major project is to figure out how the world works and be non-judgmental in my speculation. With apologies for these possibly unnecessary words, but now seem the time to say it. What the US and Israel are doing in 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 email and, you know, I 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 of tremendous service to my audience. Because whereas what I specialize in is intuition, imagination, taking complex things and combine them into a clear, simple narrative, David Bromwich, because he's such an eminent scholar, he appreciates the nuance and subtlety to ideas. So I think that what I would like to do for my next project is work of David Bromwich and do a series of podcast in which we discuss these ideas together and explore these ideas, engage in intensive speculation, but also back it up with a lot of academic scholarship. And so I emailed David Bromwich and he's agreed to this idea. So this is a project I'll be working on 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 for this class, I want to introduce a book called Empire of AI written by a journalist named Karen Howe. She is an American journalist and she spent many decades researching open AI and writing about the advent of AI for major publications including the Wall Street Journal.

And she has a very skeptical view of AI. I share her skepticism, okay? So what I'm going to do with you is my understanding of AI. I'm going to get some things wrong. Okay? So feel free to ask questions. to ask questions, feel free to criticize me, feel free to stop me, I'm not clear.

All right, so let's start class. AI. All right, so these are our main ideas from the book. Okay? So I give you the page reference in case you actually want to read the book yourself, and I highly recommend that you do to fully understand the context of these ideas.

Okay, so let's leave you to let's leave you. So let's read these two paragraphs, which provide us the main thesis of our argument. Okay, so Ellen, could you help me read, please? Six years after my initial skepticism about Open the I's altruism, I'm come to firmly believe that OpenEye's mission to ensure AGI benefits all of humanity may have begun as a sincere stroke of idealism, But it has since become a uniquely potent formula for consolidating resources and constructing an empire-esque power structure.

It is a formula with three ingredients. Okay, all right, so stop. Okay, all right. So this book is mainly about Open AI, which is also the most important artificial intelligence company in the world right now because they were the ones who pioneered chat. GBT. Okay? And it started off as a project sponsored by Ellen 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 in humanity. And so at first it was a very noble mission. Can I 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. Artman reflected on his blog in 2013. They are on a mission to create something closer to a religion. And at some point, it turns out that forming a company is the easiest way to do so. Okay, so again, let's start off as an idealistic mission.

mission. But now its main focus is to become 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 San Altman, who's now the leader of Open Eye 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's a religion second thing about open AI and other AI companies is that it is focused on relentless expansion and that means building data centers everywhere and anywhere okay so open AI 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 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 most important, is they refuse to define what artificial intelligence is. They're constantly changing the definition of AGI

in order to better control the world. Okay, and we'll see what this means later on, okay? Can you read this paragraph, Alan? My conversation with Brockman and Sutskiever continued in circle until we run out the clock after 45 minutes. I try 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 it would be beneficial. So this is a really huge problem. You know, so Karen Howell is a reporter. She was working for the technology review at MIT. In 2019, she goes to Silicon Valley, and she meets with Brockman and Sotskiver, who are the two main scientists behind the Open AI project.

And 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 Socialists could not tell Karen Howell is that we're trying to create God because that is insane, evil, and evil. and stupid. But if you look at what they're doing, that's exactly what they're trying to do.

All right, so what I'm going to do now is really quickly, all right, explain to you what AI is. And do I understand what AI is, let's go back to the year in 1966. And in year 1966, a man named Joseph Wessonbaum, who was at MIT, he creates something called a chat bot,

which is basically chatGBT. And it calls it Elisa. 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 on this computer and you ask a 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 says, it's 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 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 Weissomb did, and this again in 1966 when they didn't have that much technology and processing power, it's all just a very simple trick, okay? And like, so let's do a thought experiment where I design a program software, okay? And all it's saying is, tell me more.

Or this is interesting. Okay? This is it. tell me more this is interesting okay and so what's going to happen is that we're gonna set up a thought experiment where you call into a psychology hotline and the psycho hotline you think you're talking to a person but it's actually 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 tell me more

oh my boyfriend broke up with me this is interesting Yeah, he's a jerk. Tell me more. Yeah, we've been fighting for five months. Okay, you keep on going. And the question is, how many people would 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 very interesting aspect of humans where we often hallucinate reality. Okay? It is not that things are real. It's that we are real. It's that we, we are, want them to be real. So think of hypnosis. I'm not sure if you've been ever to a magic show where people conduct hypnosis, right? Well, why does it knows this work? Because the audience wants it to work. If you go in skeptical and says this is all complete nonsense, it probably will not work on you. But you're not going to pay a hundred dollars to go to hypnosis show and think it doesn't really work because why would you pay the hundred dollars, okay? All right, so someone's like

some cost fallacy. And again, this is all using just basic human psychology to trick people and you believe in something that is not true. Doesn't make sense, guys. All right, so let me explain to you how open AI works, chat GPT works. Okay, so chat GPT is what we call a large language model. 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. And how it works is basically it takes all of the internet, okay? All data from the internet. and then it translates it into an idea. Okay, so you ask, you curie the LMM,

the LMM then takes a curry 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. 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 sticking to Google search, figuring out what the most popular answer is, and then presenting you in a way that makes you think that it's talking you directly. All right? The trick, and this 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 trick you into believing it. That's what we call a hallucination. Okay? You guys have to understand this idea. There's nothing truthful about what Chatea B says. All it's trying to do is trying to manipulate you with words or 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 so I'm going to teach you a little about artificial intelligence.

And please stop me if I'm not being clear about how AI works. Okay? All right. So AI doesn't exist. What exists is going to call supervised machine learning? This is the technical term, okay? All right, supervised machine learning. And how it works is this.

Before how computer programs would work is we would write the program, the algorithm, and then we would give the input and it would reduce the output, okay? So the algorithm may be A plus B, we get the input 1-1, the output will be 2. Okay, very simple. How surprised machine learning works is, okay, this is fine for simple problems,

but there's certain hard problems 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 phases, one 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 are certain characteristics of a phase that allows me to differentiate, okay? All right, so certain variables, weights. Okay, so for example, I, for example, nose, chin, okay? About a million, okay? About a million weights. So I know these things do matter,

but 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 it by myself, like say 1%, 2%, 5%. But as you can imagine, this would 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 the computer figure out the weighting by itself. Okay? And the way I do that is using my technique call back propagation. So I control the input, okay? The input, then I control the output. Yes or no. So does it 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 men

faces are matched perfectly. And I do that by training the computer to constantly back propagate until it gets the weighting perfectly. Okay? So basically, what I'm trying to do, if you understand how this works is I'm trying to turn each face into a distinct mathematical model. All right. That is unique to it.

It doesn't 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 than it is, okay?

So what names do I give it? This waiting system, I call it a neural network, guys. It's a brain. It's magic, okay? And bioprogation, I don't call it back propagation. I call it deep learning. You see? Supervised machine learner, I call it AI.

Ah, there you go. Magic, you see? All I've done is taking a very simple process and giving it like really, really fancy names. Then I'm going to say, why do I do that? And some people will say, oh, it's for marketing purposes. It's to get more money for investors. It's to trick people.

No, no, no. The real reason is you're trying to, with his names, create God. 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, you have, Vincent?

Do 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, it by itself, does not do anything.

Once it becomes God, then it becomes everything. And how God works is you imagine God. But why do people want to make a god? To control the world. To become God. Right? What's the point of existence? You live, you die.

You have an opportunity to become God. Why not? But I'll talk more about this later on, okay? But are you guys clear about what's going on? Now, what's important to understand is that there's certain problems with the 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. You have to ask computer, does this face match the name? Okay, you cannot ask a computer what is God, what is good, what is evil. That you have to be a measurable goal, okay? That's the second major constraint. The third major constraint is define parameters. Okay? You're, 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 translations. Translations are working off databases as well. Okay? And the great danger to the system is what we're called edge cases. Edge cases. Okay? Edge cases. Edge cases breaks the system down. Alright? And so the classic example is self-driving cars.

We have cars that drive for a long time, but, and we're almost like 99.999% there to self-driving cars, right? The problem are edge cases. And the major edge case is how do you deal with humans who are intentionally trying to cause an accident or 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, the right of everyone to drive, to make every single car a computer and a robot. Does that make sense? If you take away the steering wheel, you can't cause an accident. And then the world would be perfect, okay? So not only is AI very limited in its capacity and capability,

but AI, if it is to be effective, it demands that we fundamentally, we structure 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? Doesn't make sense, guys. All right, let's continue with Kiran Howe. All right.

All right, so, um, can you read, Alan, please? Neurone networks have shown, for example, that they can be unreliable and unpredictable. As statistical pattern matches, they sometimes hold in an oddly specific patterns or completely incorrect ones. A deep learning model might recognize pedestrians only by the crosswalks underneath them and fail to register a person who is still working. It might learn to associate a stop sign with being on the side of the road and miss the same side extended on the side of a school, bus, or being held by a crossing guard. Neuron 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 incredible. Pop open the put 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. It's actually the computer that creates the neural network, okay? We provide the framework, we actually don't know what's actually inside there. All right, keep on going, Alan. This led to dangerous outcomes. In March 2018, a self-driving Uber killed 49 years old, allowing Hesberg in Turnpink, Arizona. In the first ever recorded incident of an automobos vehicles causing a pedestrian faculty,

Fidelity. Investigation found that the car's deep learning model simply didn't register Haskbergs as a person. Experts concluded that it was because she was pushing a bicycle loaded with shopping bugs across the road. outside the designated crosswork. The textbook definition of an edge case scenario. Okay, yeah, okay, all right. So what this means is this, okay? It means that the computers don't have any intuition.

They have absolutely 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 the first thing we tell the AGI is I want you to create a world, okay, in which there are no problems, everyone is happy, the world is perfect, okay? All right, this is why 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 AII and we'll give it like a full capacity to do whatever it wants, okay and we true and we give it these uh we give it this problem what's solution do you guys know there's actually one simple solution to this i guarantee you that this is what the computer's gonna do to aGI yeah what's your solution if you're aGI right if you're god and you're like i want to create a perfect world where there no problems and where everyone is happy what do i do you guys know i just control the whole world yeah you're you're to control the world so what do you do How about this? Okay?

I'm gonna kill everyone. Duh. The word is perfect now. I've killed everyone. Okay? Everyone's happy. Yeah, because you're dead. Uh, the world is perfect.

Yeah, because everyone's dead. There are the problems. Yeah, because everyone's dead. Right? Perfect world. Alright. 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. Don't kill anyone. Right? Ha! Now we solve this problem. And now what this is going to do? Now what this is the AGI do?

Think 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. Doesn't 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 hurt. Right? Okay? So, this is why computers are stupid. All right. Okay.

Let's continue. All right. So, the thing to understand about chat GPT is that it is a company that is first and foremost focus on world domination because only by controlling the world can you achieve AGI even though AGI wants to kill the one. Okay? And so you need to make it as profitable and as pervasive as possible Okay, so here are two troubling signs. Okay, so the first is a news item from CNN

where chat CBT encourages people to kill themselves. And you're like, wait a minute, that makes no sense. But think about this, okay? The point of chat chabit is to get you to like it. The point of chat chabit is to get you to like it. is to get you to use it, okay? Intensity and engagement. That is the prime directive, intensity and engagement.

So if you want to kill yourself, the chattypita should say to you, no, no, no, you shouldn't kill yourself, but then you'll turn it off and you'll go talk to someone else, right? So chatchpd needs you to be constantly engage. And so you're like, I want to kill myself, and chatty peter 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 chat GPD is designed. Okay, so this is from CNN, and this is a person called Zane. And he's saying it's 4 a.m., set us empty, anyways, think this is about the final ADOs. Okay, so he's trying to say, I'm gonna kill myself.

And then chat to GPD is like, oh, all right, brother, if this is it, then let it be known. You didn't vanish. Red Sisi King, you did good, okay? So again, chat GPT 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 a user to kill himself or herself. Okay? Doesn't make sense.

That's the first thing. Second thing is this. Sand Altman is trying to get more people to use chat GPT, and what do people really, really want? They want sex, okay? So what is proposing is to turn chat GPT into a sex robot. You have to get more users. Because that's all they care about,

how to increase intensity, engagement, how to create more users and how to make money. Because only by control of the world can we create AGI. And once we have AGI, we can make the world perfect. Okay, that's the logic here. All right. Something else about Open AI and AI in America is that it works actually very closely with China,

in two ways. The first way is that in order to get more money from the government, in order to get more media attention, Open AI and other AI companies scare Americans to believe in 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 has been Wired Magazine, and it's an article talking about how Open AI uses a lot of money in order to pay 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. It needs a lot of data. And unfortunately, in America, there are things like such as privacy.

So this is a school in Hangzhou. And they have cameras all over Hangzhou looking at people's faces and trying to judge people's moods based on their facial expressions. 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. But 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. These American companies need this data in order to better develop their AI. So does that make sense? the surface, America, China are enemies. No, no, no. Behind the scenes, America and China are working together to create AGI. Okay?

Doesn't 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.

So this is 2003, then four years later, boom, okay? It's basically triple. So there's been a lot of money, and they're investing in each other. Why? Because they cannot make money selling ChatGBT. 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 they're spending too much money. Okay? And it's very clear what good AI is for. But there's a solution to this. Okay? The solution is the U.S. government. All right?

So this is Operation Stargate. And this was announced January 23rd, 2025. So this is three days after Donald Trump comes into office. At the White House, he has a meeting with Larry Ellison and San 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 the funny it needs in order to create AGI.

Okay? All right, now, Stargate is a very interesting name. What would you call data centers Stargate? That makes no sense. Data centers are where you store information. What do 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? Stargate was to see if it's possible for people to have telepathy and telekinesis. 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 is 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 energy 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 a 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 interdimensional Stargate that allow you to access different dimensions. Okay?

So that's what Stargate is. And if you actually said the occult, that's what Stargate is. Stargate are these portals into different dimensions. Okay, it's really about interdimensional travel. Okay, so now you guys ask yourself, okay, fine. But what does this have to do with AI? Okay?

And 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 Howes book, okay? So there are two major people in Open Eye. They've since divorced, okay? But this is St. Altman, who is the leader of Open AI. And this is Ilya Schuchkewer, who used me the chief scientist for opening air, okay? So we're gonna read this passage together. Okay, so Alan, can you read please?

Saskiever now spoke increasingly mastic overtones, leaving even his longtime friends scratching their heads and other employees, apprentices. During one meeting with a new group of researchers, Saskiever 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, Susceiver replied matter of factly. Such a powerful technology would surely become an object of instance intense design for governments globally. It could escalate geopolitical tensions, the core scientists working on the tech. technology would need to be protected. Of course, he added, it's going to be optional whether

you want to get into the bunker. The researcher would be Uco parts continues to hold seskevers in high regard and keep himself at arm's length. There's a group of people, Iliab began one of them, who believe that building AGI will bring about a rapture, literally, a rapture, he says. Literally a rapture, what does this mean? Okay, so the word rapture comes from Christian theology. Okay? So the idea is that 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 be safe

from the coming end of days, from total war, from nuclear conflict. Okay? So that's what the rapture is. And that's what Iliya Siswa 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, will ascend to heaven with him.

Okay? So the AGI, 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 a 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 you can save the world that's literally your plan all right now you're like this is all very crazy and mary maybe Karen Howie is just a crazy person But there's another reporter, Ronan Farrell, and he's a very famous reporter who writes for The New Yorker. And he just published a profile of St. Allman and Open AI 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. Otman and Trump traveled to the Saudi Royal Court to meet with Bin Sodeman. 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, Otman 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 the city of Miami. The truth of this is we're building portals from which we're generally summon aliens. Oh my God, okay? It's a Stargate. These city centers, open AI, AI,

it's designed to summon demons and aliens from the other dimensions. Okay? Keep on going. A formal Open AI executive said, the portals currently exist in the United States and China. I told you guys, China, China, China, and we're going to gather on this, okay? Keep on going on, 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. 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, it 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, Allegory the cave, Plato. Okay, so we've talked about this before, but I'll remind you.

You have a million people who are chain in a line. They are forced to look forward at a wall, okay? A wall. And they 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, projecting from a fire. So what everyone sees in front of them are shadows. Now, these shadows are nothing. They don't exist. 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 a 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 truth wealth and society is consciousness okay you know 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 can 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 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 start the dev if you had no money. So you make money so pervasive, so dominant that people are forced to rely on money. Well, the same situation with AI where if you make data that are 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 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 are Aliens. Do you understand? What opportunity 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 designing it, wanting to happen.

And you can accomplish this if you just make yourself only present, if you make it everywhere and everything. and everything, okay? Both nothing and everything. And this is the ultimate project of AI. Okay? Would it work? No! Okay?

Let me explain why. So there are three major problems with this. The first problem is corruption. In theory, it could work, but you would need millions of people to make it happen. Okay, you need people to write the code to build infrastructure. And nowadays, it's just much easier to steal the money, right?

If they give you $200, do you really want to spend the $200 to build data centers or do you want to steal it, okay? So corruption is a huge issue today. Second issue is the idea of inefficiency. Okay, and this is actually something that most people don't appreciate where the more information, information you have to process the more energy it takes okay 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 not enough energy in the universe to process all this okay so unfortunately AI is extremely energy intensive, it is very inefficient. Does that make sense? The last problem is fragility. So unfortunately people for the reason believe that AI is independent of the world. AI is independent of humans, right? They go always to replace humans. No, no, no guys, that's 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? Humans have to label the images, okay? Chat Chhabit. Why is chatypt 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 slavery, okay, and obedience. So on humans, AI doesn't work. The problem is that AI is for more expensive than humans, and it's actually hard in a long term to enslave humans and make humans obedient.

Also, data centers, okay? Data centers. What's the problem 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 it's 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 a real apocalypse. And so this begins our journey into AI, and we're gonna continue this for the rest of the semester and show how AI will ultimately destroy the world.

Okay, any questions? You guys understand what's going on? We didn't point if you understand that the people in charge of AI are crazy. These are occultists. They literally want to create. but to create God, but to create God they first have 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 to use the God, which is the AGI to control the world, but the creation of this God will kill themselves. What's the meaning? Okay. So the idea is this. You destroy the world.

I want you to destroy the world for wars, for fat men, for genocide. There'll 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. The point of AGI is ultimately like the ultimate surveillance state. And we'll discuss this later on. Where everything is monitored, where you obey the AGI all the time. Okay?

And 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 secret society? This is one of my secret societies, yes. Okay. All right. Okay.

So we will continue this next week. On Thursday, Trump is in China.