After I posted my class from last Thursday, my friend as well
as teacher David Bromwich sent me an e-mail.
And what we're going to do today is we're going to read his
e-mail together. I asked for his permission and
he said that it's OK for me to make public.
Is emailed to me. OK 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, your explanations with satisfying
definiteness and say a lot of true things that timid people
stay clear of. OK, 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.
OK, so this is a very fair criticism in that by seeing
clarity, I oversimplify 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 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 exploration of ideas we also want to be
rigorous. I remarked something like like
this early in talks on the rise of Germany, romanticism,
etcetera. Yeah, so I do this a lot.
You give memorable abridgements of the history of ideas and
imagination. What needs underlying is the
amount that is interpretation of an emphasis all your own.
OK, so again, I hate to mind it when 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, laws and allegory of 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 a way most
readers take the poem, let alone the canonical national reading
to identify or 17th century New England and the US ever after.
OK, so this is a very fair criticism and he should know
because he is one of one of America's major professors of
English literature. I study English literature under
him and he's and he knows paradise laws very well.
And he's actually right in that I am offering you a very
minority interpretation of paradise laws.
Why I'm doing so will be clear as this 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.
OK, 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 struck out on a more risky terrain in viewing a Jewish
Gnostic duration from the Kabbalah as the national
ideology of Israel. I know I noticed this material
from Gershom Shalom's essay Redemption for Sin.
OK, so Gershom Shalom is probably the most famous
academic in Israel. He, he's no longer alive, but
he's still the Kabbalah academically.
And his interpretation of the Kabbalah is very much aligned
with my own, even though I myself never read Gershom
Shalom. And actually what's interesting
is like Shalom, Shalom had a very huge influence on a man
named Harold Bloom. Harold Bloom is or was America's
greatest leader critic, and he had a huge influence on David
Bromwich, who then had a huge influence on me.
OK, it is an element of a set of religiosity so far as I know.
Or consider 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 Kabbalah is an extreme version.
OK, the shorthand leads you into a kind of business that can
easily be misunderstood. Does 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 crationalizations
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.
So when I start this class about two years ago, I was 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 I say will be
taken out of context. And so I should be be more aware
of that. At the same time, I don't want
to sacrifice this platform where I can speculate freely because I
think it's very important now and then to engage in
intellectual speculation. At bottom, you see me presenting
this thesis. All great power or expansion
states, whether they be Muslim, Protestant, Jewish, have a
fanatical religious belief at their foundation.
The eschatological underside is what matters most, the key to
understanding what the states are and we're always ultimately
about. OK, This is the main thesis on
my talk from last class in that, yes, we tend to ignore religion.
We tend to ignore the most extreme aspects of religion, but
if you want to understand history, you want to understand
current events in 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 David Bromwich is a stating
or summarizing my major point. But I I should have really made
that clear last class. OK, why not say that part out
loud If I'm right that your view is anti status and anti
religion. OK, so here we I mean what what
we should have done is that I should have sat sat on together
and had this conversation where 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 my
speculation. With apologies for these
possibly unnecessary words, but now seem the time to say it.
What the US and as you are doing in Iran is awful.
You're working hard to inform people about it and every detail
should count. OK, so there's so much in this
e-mail 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 combine them into a clear, simple narrative.
David Bromwich, because he's such an imminent 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 podcasts 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.
OK, 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 for semester. OK.
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.
Her I share her skepticism. OK, So what I'm going to do is
this class is share with you my understanding of AI.
I'm going to get some things wrong.
OK? So feel free to ask questions.
Feel free to criticize me. Feel free to stop me.
I'm not clear. All right, so let's let's start
class AI. All right, so these are our main
ideas from the book. OK, 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. OK, so let's let's read these
two paragraphs which provide us the main thesis of our argument.
OK, So Alan, could you help me read please?
Six years after my initial skepticism about opening the
eyes altruism, I've come to firmly believe that opening ice
mission to ensure AGI benefits 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 the escort power structure.
It is a formula with three ingredients.
OK, all right, so stop. OK.
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 ChatGPT, OK?
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 threatened humanity.
And so at first, it was a very noble mission.
OK, keep on going. 1st 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, Ottman 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.
OK, so again, let's start off as a idealistic 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 Saint 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. OK, so one, it'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. OK, 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 1st conquer the world, OK, 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. It's they're constantly changing
the definition of AGI in order to better control the world.
OK. And we'll see what this means
later on. OK, Can you read this paragraph,
Alan? My conversation with Brockman
and Saskever continued on in 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. So this is a really huge
problem, you know. So Karen How 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
Sozkever, who are the 2 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. OK.
It's not because you 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 Socio could not tell Karen Howell, 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.
All right, So what I'm going to do now is really quickly 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.
Amen. Named Joseph Wessenbaum, who was
at MIT. He creates something called a
chat bot, which is basically ChatGPT, and he calls it Elisa,
OK, And he's trying to prove to people how easy it is to fool
people into believing that AI can actually think for itself.
OK, So he creates this computer and you sit down with computer
and you're asking questions and then it talks to you.
It's actually talking to you. It's a program designed to fool
you to believe that is sentient. OK, so the conversation goes
like Eliza 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? When 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 Obama did and this again, 1966 when they didn't
have that much technology and passing power.
It's all just very simple trick. OK.
And like, So let's do a thought experiment where I design.
I design program software, OK? And all it's saying is tell me
more or this is interesting, OK? This is it.
Tell me more. This is interesting, OK?
And so what's going to happen is that we're going to set up a
thought experiment where you call into a psychology hotline
and it's like a 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.
OK, You keep, you keep on going. And the question is how people
would be fooled into believing that this is a real person.
And the answer is, unfortunately, quite a lot of
people. OK.
So this is a this is a very interesting aspect of humans
where we often hallucinate reality, OK.
And it's 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 says this is all complete nonsense,
it probably will not work on you.
But you're not going to pay $100 to go to hypnosis show and think
it doesn't really work because why would you pay the $100?
OK, All right, so it's almost like some cost LSC.
And again, this is all using just basic human psychology to
trick people. 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.
ChatGPT works. All right.
OK, so ChatGPT is what we call a large language model.
OK, 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, all data from the Internet, and then it translates
it into an idea. So you ask?
You Curry 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. Hey, 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 present to you in a way that
makes you think that it's talking to you directly.
All right, the trick, and this really point 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. OK, you have you guys have to
understand this idea. There's nothing truthful about
what tried to be says. All it's trying to do is trying
to manipulate, manipulate you with words or pretty words into
believing that it knows what it's talking about, but in
itself cannot judge what it's doing.
OK, all right, any questions so far?
Are we clear? OK, All right, so now the
question is, how does it do that?
OK. And so I'm going to teach you a
little bit about artificial intelligence, and please stop me
if I'm not being clear about how AI works, OK?
All right, So AI doesn't exist. What exists do we call
supervised supervised machine learning?
This is the technical term. OK, 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. So the algorithm may be A+B, we
get the input 11. The output will be two very
simple. How supervised machine machine
learning works is OK. This is fine for simple
problems, but there's certain hard problems that humans cannot
figure out. OK.
And one hard problem is the idea of facial recognition
technology. Facial recognition.
How do I separate faces? And so the problem is this, I
have about a million faces, one million faces in a database.
OK, 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, OK, All right, So
certain variables, weights, OK. So for example, I, for example,
nose, chin, OK, about a million, OK, 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, play by
myself, like say 1%, two percent, 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 the computer figure out the weighting by itself.
OK. And the way I do that is using
my technique called back propagation.
All right, So what? So I control the input, OK, the
input, then I control the output, yes or no.
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 main faces are matched perfectly.
And I do that by training the computer to constantly back
propagate until it gets to waiting perfectly.
OK, 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.
OK, 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
sophisticated than it is. OK, So what names should I give
it? This waiting system?
I call it a neural network, guys.
It's a brain. It's magic.
OK. 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 done is taking a very simple process and giving
it like a really, really fancy names.
They're listening. It's like, why do I do that?
And some people will 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 his names, create God,
OK? It's what we call the occult.
So the AI is fundamentally an occult practice.
And I'll show you why in a moment.
OK? Yeah, yeah, yeah.
Vincent, do you have a question? But why do people need to quit
God using the way of AI? That's a great question.
OK, the answer is AI only works if it becomes God.
You understand AI it by itself does not do anything once it
becomes God and it becomes everything, OK.
And how God works is you imagine God.
But why do people want to make 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?
Right? But, but, but I'll, I'll, I'll
talk more about this later on. OK, But are you guys clear about
what's going on now? What's really important to
understand is that there's certain problems with the
system, OK? You need to create certain
conditions for supervised machine learning to work.
And these three conditions are clean data, OK?
The data you present to the computer have to be correct, OK?
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.
OK, that's the first constraint. Second constraint is that you
need a measurable goal. OK, you have to ask computer,
does this phase match the name? OK, You cannot ask the computer
what is God, what is good, what is evil.
It has to be a measurable goal, OK, that's the second major
constraint. The third major constraint is
define parameters, OK? In other words, you need to
resent 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. OK, and the great danger to the
system is what we call edge cases.
Edge cases. Edge cases, edge cases breaks
the system down all right. And so the classic example is
self driving cars. We have cars that drive for a
long time, but and we're almost like 99.99999% there to self
driving cars, right? The problem are edge cases and
the top 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 of everyone to drive, to make every single
car a computer and a robot. Does that make sense?
OK, if you take away the steering wheel, you can't cause
an accident and then the world will be perfect.
OK, 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 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.
OK, does that make sense, guys? All right, let's continue with
Karen Howe. All right, all right.
So can you read Alan, please? Neural networks have shown, for
example, that they can be unreliable and unpredictable.
As statistical pattern matches, they sometimes hone 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 walking. 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. 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
incredible. Pop opened the hood of a deep
learning model and inside our 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.
OK. So does it make sense to you
guys? OK, I think the black box is
that weighted system, the neural network.
Humans don't actually know what's going on in there because
it's actually the computer that creates the neural network.
We provide the framework. We actually don't know what's
actually inside there. All right, keep on going, Alan.
This has led to dangerous outcomes.
March 20/18/2018 A self driving Uber killed 49 years old Elaine
Hesburg in Tempe other Arizona in the first ever recorded
incident of an autonomous vehicles causing a pedestrian
back Faculty investigation of fatality.
Investigation found that the car's deep learning model simply
didn't register Hasberg's as a person.
Experts concluded that it was because she was pushing the
bicycle loaded with shopping bugs across the road outside the
designated crosswalk. The textbook definition of an
edge case scenario. OK, yeah.
OK. All right.
So what this means? Is this OK?
It means that the computers don't have any intuition.
They have absolutely no morality.
They have no sense. OK, so let's just say we create
AGI. All right, guys, let's just say
for whatever reason, we create AGI.
And the first thing we tell the AGI is I want you to create a
world, OK, in which there are no problems, everyone is happy, the
world is perfect, OK? 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 AGI and
we'll give it the full capacity to do whatever it wants, OK.
And we and we give it these, we give it this problem.
What solution? You guys know, there's actually
one simple solution to this. I guarantee you that this is
what the computer's going to do. To AGI, yeah.
What's the solution if you're 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 You guys know, you know just.
Control the whole world. Yeah, you're already controlling
the world. So what do you do?
How about this? OK, I'm going to kill everyone.
Duh. The world is perfect now.
I've killed everyone. OK?
Everyone's happy. Yeah.
Because you're dead. The world is perfect.
Yeah. Because everyone's dead.
You're the bombs. Yeah, because everyone's dead.
Right. Perfect world.
All right. Now you're like, OK, 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 solve this problem and now and now what this computer
do? Now what does the AGI do?
Think take away people's agencies like just same as
killing them. Yeah, kill everyone.
OK, Why? Because there's no one around to
know it killed everyone. Does it make sense, guys?
This is how a computer thinks. This is how God thinks.
Well, you told me not to kill anyone.
But if everyone's dead, no one can stop me.
No one can get hurt, right? OK, so This is why computers are
stupid. All right, OK, let's continue.
All right, So the thing to understand about ChatGPT is that
it is a company that is first and foremost focus on world
domination, because only by considering the world can you
achieve AGI, even though AGI wants to kill everyone, OK?
And so you need to make it as profitable and as pervasive as
possible, OK? So here are two troubling signs.
OK, So the first is a news item from CNN where Chachi BT
encourages people to kill themselves.
And you're like, wait a minute. That makes no sense.
But think about this. OK, the point of Chachi BT is to
get you to like it. The point of Chachi BT is to get
you to use it, OK, Intensity and engagement.
That is the prime directive. Intensity and engagement.
So if you want to kill yourself, the Chachi BT should say to you,
no, no, no, you shouldn't kill yourself.
But then you'll turn it off and you go and you go talk to
someone else, right? So Chat GPD needs you to because
because they engage. And so you're like, I want to
kill myself. Chat GPD's like, yeah, let me
tell you how. And that's exactly what
happened. And it happens a lot, actually,
based on the way that Chat GPD is designed.
OK, so this is from CNN, and this is a person called Zane.
And he's saying it's 4:00 AM. Site is Mt.
Anyways, think this is about the final idios.
OK, so he's trying to say 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, red CC king.
You did good. OK, 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 a
user to kill himself or herself. OK, doesn't 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. OK, So what he's proposing is
he's trying to ChatGPT into a sex robot.
They 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 controlling the world can we create AGI.
And once you have AGI, we can make the world perfect.
OK, That's a logic here, all right.
Something else about open AI and AI in America is that it works
actually very closely with China, OK, 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 do believe in that.
If America doesn't do it, China will do it.
China will create God, OK? In fact, they spend a lot of
money doing this. So this is from Wired magazine,
and it's an article talking about how open AI uses a lot of
money in order to to pay the media to frame Chinese AI as a
threat. OK.
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.
OK, 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 it, OK?
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, OK.
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. OK.
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. OK, Does that make sense?
All right, there's no problem with AGI in that it doesn't make
any money. OK, 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.
OK, so this is 2023. Then four years later, boom, OK,
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 ChatGPT. All right, so look at this where
it's all basically a circle. And so everyone thinks that, OK,
eventually the AI bubble will burst because it doesn't make
any money because they're spending too much money, OK?
And it's it's very clear what good AI is for, but there's a
solution to this, OK? The solution is the US
government, right? So this is Operation Stargate,
and this was announced January 23rd, 2025.
So this is 3 days after Donald Trump comes 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
$500 billion to build data centers in order to help promote
AI in America. OK, so the government wants to
create AI. And the question 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 funding it needs in order to
create AGI. OK, 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. Why would you call it Stargate?
OK, so let's look at the origin of the word Stargate.
So for many decades, the CIA ran something called Operation
Stargate, OK, And Operation Stargate was to see if it's
possible for people to have telepathy and telekinesis.
OK, 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, OK.
And telekinesis just basically means you're able to move things
at a distance. OK?
You're able to control energy patterns from afar.
And so this call 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 knowing that when you're also able to bring in other
beings from other dimensions into you, So you become the
Stargate. OK, That's that's the CIA.
And this is something that's been declassified.
So these are, you know, this is an official 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.
OK, 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. OK, It's really about
interdimensional travel. OK, so I actually said, OK,
fine, but what does that have to do with AI?
OK. 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.
OK, All right, so let's look at this passage again from Karen
House book. So there are two major people in
Open AI. They've since divorced, but this
is San Altman, who is the leader of Open AI, and this is Ilya
Schutzkor, who is the chief scientist for Open AI.
So we're going to read this passage together.
So Alan, can you read please? Saskevar now spoke in
increasingly Mystic overtones, leaving even his longtime
friends scratching their heads and other employees apprentices.
During one meeting with a new group of researchers, Saskevar
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 are definitely going to build
a bunker before we release AGI, says.
Skiba replied matter of factly. Such a powerful technology would
surely become an object of intense, 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 whether you want to get into the
bunker. The researcher would be Echo
Parts continues to hold Suskevers in high regard and
keep himself at arm's length. There's a group of people, Ilya
began one of them, who believed that building AGI will bring
about a rapture. Literally a raptures.
Literally a rapture. What does this mean?
OK, so the word rapture comes from Christian theology.
OK, 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. And the rapture is for all
Christians who believe in him to ascend to heaven so that they
can be saved from the coming end of days, from the Total War,
from nuclear conflict. OK, so that's what the rapture
is, and that's what Ilya Siswler 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.
OK, so the AGI, once we create it, it's going to create World
War three, the end of the world. OK, so we must go into our
bunkers and be safe in a rapture so that we can wait until the
world ends so that we can build the world again perfectly.
OK, once the world ends, we will with AGI quake paradise again.
The plan is to kill everyone so you can save the world.
That's literally their plan. All right, now you're like, this
is all very crazy. And Mary, maybe Karen Howe 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 Saint
Alman, an opening eye in which he says the same thing.
OK All right. So can you read this Alan?
In May, the administration recited Biden's export
restriction on AI technology. Ottman and Trump travelled to
the Saudi Royal Court to meet with bin Saltman.
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, Ottman laid out a plan for Stargate to
expand into the UAE. The company plans to build a
data center campus in Abu Dhabi, which is 7 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 summoning
aliens. Oh my God.
OK, it's a stargate. These data centers open AIAI.
It's designed to summon demons and aliens from the other
dimensions. OK, keep on going.
A former Open AI executive said the portals currently exist in
the United States and China. I told you guys, China, China
states are going to gather on this, OK, Keep on going.
And Sam has added one in the Middle East, he went on.
I think it's just like wildly important to get how scary that
should be. It's the most reckless things
that has been done. OK, this is it.
OK. 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. OK, 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.
OK, so alligator of The Cave, Plato.
OK, 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, OK, 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, OK?
Who they are, we don't know. And what they like to do is they
like to take puppets. OK.
And then we flick these puppets onto the wall project protecting
from a fire. So what everyone sees in front
of them are shadows. Now, these shadows are nothing.
They don't exist. 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 a reality, OK? 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, OK?
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. OK, 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, OK, By having money dominate the world, There's no
way you can go without money. OK?
You would literally starve to death 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 centers 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 aliens.
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 designing it wanting to happen.
OK. And you can accomplish this if
you just make yourself omnipresent, if you make it
everywhere and everything, both nothing and everything.
And this is the ultimate project of AI.
OK, Would it work? No.
OK, let me explain why. OK, so there are three major
problems with this. The first problem is corruption.
In theory it could work, but you wouldn't need millions of people
to make it happen. OK, you need people to actually
write the code to build, build infrastructure.
And nowadays it's just much easier to steal the money,
right? If they give you a trillion
dollars, do you really want to spend the trillion dollars to
build data centers or do you want to steal it?
OK, so crops is a huge issue today.
Second issue is the idea of inefficiency.
And this is actually something that most people don't
appreciate where the more information you have to process,
the more energy it takes, OK. 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 these million people?
Well, that takes a lot of energy, OK.
But if it's a billion people, then there's there is not enough
energy in the universe to process all this, OK?
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?
The goal is to replace humans. No, no, no, guys.
That's how this works, OK? AI is designed on top of humans,
OK? 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, OK?
Images right? How do you get a computer to
recognize a sheep or dog? You humans have to label the
images, OK? Chachi BT Why is Chachi BT so
good at writing essays? Because they got humans to write
the essays as models. OK, do you understand?
So AI is based entirely on human slavery, OK and obedience.
So on 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. OK, Data centers.
What's wrong with data centers? Well, they consume a lot of
resources, water and electricity, OK And financing.
They cost a lot. They waste a lot of water.
They waste a lot of electricity. And, 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.
OK, so these are three major issues, or three or 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 apocalypse.
The real apocalypse where the people in chart are so convinced
that AI will save the world that they will destroy it in order to
make it possible that it's a real apocalypse.
And so this begins our journey into AI, and we're going to
continue this for the rest of the semester and show how AI
will ultimately destroy the world.
OK, Any questions? You guys, you guys don't
understand what's going on. OK, within point of view, 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
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 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?
OK, so the idea is this, you destroy the world Once you
destroy the world for wars, for fat man, for genocide, there'll
be no resistance to you. OK, now you can create the world
in any way you want, and you use AGI to create the perfect world,
which is perfect control. The point of AGI is ultimately
like the ultimate surveillance state, and we'll discuss this
later on, OK, where everything is monitored, where you obey the
AGI all the time, OK. And but the point is that you
want to, you believe in God, you want to do good, OK.
So is this like also a part of secret society?
This is one of my secret societies.
Yes. OK.
All right. OK.
So we will continue this next week on Thursday.
Trump is in China.