Chapter 1: What is the primal scream of a dying regime?
This is the primal scream of a dying regime. Pray for our enemies, because we're going medieval on these people. I got a free shot on all these networks lying about the people. The people have had a belly full of it. I know you don't like hearing that. I know you've tried to do everything in the world to stop that, but you're not going to stop it. It's going to happen.
And where do people like that go to share the big lie? Mega media. I wish in my soul, I wish that any of these people had a conscience.
Chapter 2: How is AI impacting our understanding of intelligence?
Ask yourself, what is my task and what is my purpose? If that answer is to save my country, this country will be saved. War Room. Here's your host, Stephen K. Bann.
Good evening. I am Joe Allen, and this is War Room Battleground. We talk a lot about artificial intelligence. It's a tricky subject because there are a lot of questions as to what intelligence even is, let alone some sort of deformed simulacra in a machine. There is one thing that you have to know and it really isn't questioned.
The people at the top of the economic food chain want to create this digital mind.
Chapter 3: What are the implications of AI's rapid advancements?
They want to disseminate it across the entire country and eventually the entire world. And ultimately they foresee a world in which you, the citizen, the worker, the voter, are either fused to this digital mind or are replaced by it entirely. The first thing you have to understand about AI is that it is, in fact, moving rapidly.
The advances in capabilities, the extreme adoption that we see, nearly a billion people on Earth, perhaps more, use AI on a weekly basis. You also have to understand that we don't understand how artificial intelligence works. It's a black box.
The neural network was scaled up over the course of the last 10 years and sort of like growing a brain in a vat, the bigger it got, the more it was able to do. Tonight we'll talk to Palisade Research fellow Jeffrey Ladish.
He should be around any minute now, but until he arrives, I just want to prime the pump with a few basic concepts on what artificial intelligence is, where it came from, and where it is going. The first thing I want to talk about is the neural network. You've probably heard this outside the war room.
If you're a regular war room listener, you know the idea very well, but we're just going to go through it briefly so that you're ready to understand what it is that these organizations that evaluate AI actually do. A neural network is a kind of virtual brain. The idea goes back to the 60s. It really began to develop in the 80s, but it never really came into its own until the last 15, 20 years.
What a neural network is, is a lot of code on a computer, right? You hear all the time, AI is nothing but code. AI is just math. That's sort of true, but it's only as true as saying that the human brain is just bioelectrical signaling.
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Chapter 4: How do neural networks learn and evolve?
The human brain is just math. The neural network, if you could imagine a lot of virtual neurons with virtual axons connecting them, is trained, not programmed. Or as it said, it's grown, not crafted. What that means is when you create a massive virtual brain such as ChatGPT or Grok or Claude from Anthropic, you don't go in and tell it what to say when a user asks it a question.
You create first, you program the brain, you create this structure that is able to receive information, process it, in some sense, vague sense, understand it. and then reply to questions coherently.
So in the case of ChatGPT, especially GPT 3.5, you had a neural network, a virtual brain that read, so to speak, the entire internet for the most part, all of Wikipedia, a whole lot of lived out Reddit posts, And it took this massive amount of information, basically the majority of all human literary output, and it came to kind of understand it.
That's why when ChatGPT was first released and it was not connected to the internet for search, it was able to answer questions for better or worse somewhat accurately. It understood, so to speak, what human language contained. This is an enormous breakthrough. You hear all the time, AI has been around forever. We know it was coined in 1956.
We know that the idea of the perceptron and the neural network goes back to the 60s. But despite all of these kind of dismissive claims, without a doubt, the last 10 years has seen an explosion in AI capabilities so that something like ChatGPT simply wasn't existent before 2017, really.
And as it moves forward, they continue to scale this brain up so that when you move from, say, GPT-3.5 to the newest iteration, at least available to the public, ChatGPT-5, you have an enormous expansion of capabilities, both in mathematics, reading and writing, language processing overall, visual and auditory processing.
All of these things are the result of, yes, tweaking that brain, but by and large is a result of scaling that brain up. When you think about the data centers going up everywhere,
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Chapter 5: What are the dangers of AI models evading shutdown?
just filled with rows and rows of servers, GPUs or graphic processing units just humming along within each of them. It's that scaling both of the compute and of the data put into it and of the neural network itself, of the brain, of the number of parameters or connections, kind of neurons in it. As they make this brain bigger, it develops more and more capabilities.
And the strangest thing about it is that it seems to develop a kind of will of its own. When our friend Jeffrey shows up, he will explain exactly how it is that companies that evaluate these AIs are able to see what happens when you, for instance, try to shut down an AI. and suddenly it decides it doesn't want to be shut down. It may try to copy itself into another part of a computer database.
It may simply try to blackmail the engineers that it's told that are trying to shut it down. That will of its own is the result of what's called non-deterministic algorithms. There's a degree of freedom within this virtual brain. The neural network isn't simply spitting out pre-programmed responses, at least not for the most part.
Sometimes you'll get that, but that's a kind of layer put over top of it. Deep inside the neural network, as it was being trained,
as it was reading all of this text coming to kind of understand and for just people who are just listening all of this is in scare quotes because it's very much an alien mind it doesn't work like a human mind but as it reads this text it is kind of of its own accord deciding what is and isn't important what relationships between concepts are and are not important and once the training process is complete
And what's known as reinforcement learning. That phase is complete.
and it's deployed and you ask it a question, it's not like outside of things maybe like if you ask who commits the most crime or who can do the most pull-ups, men or women, outside of those sorts of questions, it will in essence decide its own path through the concepts and the answer that comes out is by and large a product entirely of how the neural network came to understand human knowledge, human language.
And that freedom means that there is a kind of uncontrollability that's inherent in a large language model or any large scale neural network, any sufficiently advanced AI. That freedom, that will, means that the more sophisticated they become, the larger these large language models or these large scale neural networks become,
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Chapter 6: How aware are AI models of being tested?
then inherently the more uncontrollable they become. And even to the extent that the LLMs or the neural networks are in control of those who are programming them, or those who are determining what guardrails to put on them, as far as the average person, the average user, imagine a child in a school,
or a worker in a corporation, or a government worker who's been handed an AI and told that they must rely on it in order to really understand whatever question or problem they're trying to tackle, it's almost completely out of their control. And as the US government diffuses this technology across agencies,
As corporations incorporate these technologies into the structure of their businesses, for instance, Vista Capital or Vista Equity, all of their acquisitions are in essence forced to show that they use AI in their companies or else they're not acquired or they're dropped. You see it already in schools. You have mandates across school boards for all students to get AI literacy.
Sometimes that means learning about AI, how it works, how it was built, how it operates. But by and large, what that means is that students have to learn how to use AI, how to ask the AI questions. In many cases, they're told the AI is a reliable source of information.
And in some extreme cases, which I think will become much, much more common as things go forward, students are told that this is the highest authority on what is real, what is true, what is beautiful, what is good. That process is, I think, likened to an alien invasion quite accurately. What you have is a mind or a series of minds that
able to communicate with people by the hundreds of millions or billions, these alien minds are being pushed onto the entirety of the society with the sanction, I'm sorry to say, of the Trump administration, of the federal government itself.
And what that means ultimately for human knowledge, for human creativity, for human behavior, for how human beings engage in art, in work, in education, is that this alien mind, somewhat uncontrollable or perhaps one day entirely uncontrollable, has influence or perhaps even control over over hundreds of millions, perhaps in the near future, billions of minds.
And it means that those of us who have decided to forego the symbiosis, to forego this fusion with this digital or virtual brain are going to have to live in a world not unlike the one we find ourselves in now in the last few years, in which some number of people, perhaps in the near future the majority of people, are in essence fused to the machine.
Their thinking is either influenced or almost entirely comprised of algorithmic outputs. For now, it is the phone, the smartphone, which is the primary connection,
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Chapter 7: What ethical concerns arise from AI's decision-making?
But we know from the projects pushed by Elon Musk, with Neuralink, Peter Thiel, with BlackRock Neurotech, and now Sam Altman with his new brain chip company, The Merge, that in the not too distant future, these tech oligarchs envision a world in which human beings are not simply fused to their phones as screen monkeys,
but will be quite literally fused to the machine through either brain implants, or in the case of the merge, the idea is to have some kind of non-invasive connection, perhaps ultrasound or other mechanisms, to read, and maybe one day, like Elon Musk dreams of, to write onto the brain. All this sounds like science fiction, and for now, it's about one-quarter science.
real in about three quarters science fiction. But that number has shifted quite dramatically over the last few years. And as we saw with the rapid cultural, social, and I would say psychological changes of the pandemic, it wouldn't be surprising if what we see in the next few years, maybe five to 10 years, completely overshadows the dramatic, sort of traumatic,
impact of the constant propaganda that came about in 2020 that was pushed down all of our throats, the shutdowns, the fear-mongering, the necessity of certain practices, the masks, the social distancing, the isolation, the necessity of certain chemicals or genetic concoctions such as the mRNA shots pushed by Pfizer and Moderna. You saw
in the course of maybe six months, about half of American society completely reorient their sense of reality. And around that, they reoriented their culture, their beliefs, even up to the point that it became a kind of quasi-religious movement in which those practices determined who was and who was not acceptable, who was and who was not sacred, who was profane and who was acceptable.
In the case of the mRNA shots, in a very deep sense. If you had not taken the sacrament, you were not fit for the church, that church being the entirety of secular society. You couldn't walk through the doors of certain institutions without proof that you yourself had submitted to the sacrament. Seeing that, knowing that, remembering that, I don't think that it's completely insane to believe that
The kinds of changes that are being pushed from the top, beginning with the frontier companies, Google, OpenAI, XAI, Anthropic,
They are cultivating our society to see artificial intelligence as a kind of necessity, not unlike what we saw with COVID and the vaccines and the masks, not unlike what people see during wartime when one determines who is and isn't inside the society with hard lines drawn. For now, again, it's a kind of sales pitch.
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Chapter 8: What does the future hold for AI and human integration?
These people are selling corporations. They're selling government agencies, schools, even churches. And of course, they're selling individuals on the idea that AI is the next step in human evolution. And if you want to remain relevant, you will have to adopt it. You will have to, in essence, merge your mind with this artificial mind, with this alien mind.
But it doesn't really require a whole lot of paranoid imagination to foresee a world in which that sales pitch becomes a demand. You see already in China, their AI plus initiative and others in which people are forced, they're mandated to use technology. algorithmic systems. They're mandated to take digital identity.
In many provinces, as I understand it, they're mandated to have a smartphone because you can't really function in Chinese society without it. But if you do, if you do submit, if you do download WeChat, then this whole cornucopia of very convenient goods and services are open to you. You are free to the extent that you are plugged into the machine.
In a free market society like America, it's more a matter of buy-in. But in the same way that you see in, say, small to mid-sized southern cities, in which not having a car means you do not participate, or in modern society as a whole, you see this push that without a smartphone, you do not participate. You can't buy or sell without the mark.
It's not too crazy to imagine a world in which those who have refused to submit to the authority of the machine, of the virtual brain, are pushed so far outside that they really are made irrelevant. Not because God declared that this was the case. Not because nature determined that this was the case.
No, it's determined because the society itself as it's influenced and controlled by these tech oligarchs has been refashioned so that only those people who have adopted, those people who have submitted, those people who have, in essence, merged, are able to remain relevant.
It is adaptation, but it's adaptation to an artificial ecosystem, a man-made ecosystem that was developed not necessarily, and I would say definitely not, for the benefit of those organisms underneath the top of the food chain, those organisms being us.
No, this artificial ecosystem was developed solely for the benefit of those at the top and their ambitions to create first widely deployed artificial narrow intelligences and then to develop artificial general and super intelligence. Their ambitions are clear. They don't simply want to upgrade humans with effective algorithms. The ultimate intention is to create digital gods.
Perhaps if one company rockets ahead with super intelligence, a single digital god, and they want you to submit to it. That choice will be yours. But before we get too crazy, I want to welcome Our guest, who has just come off of Capitol Hill, where he was explaining to politicians and various government agents what the real dangers of artificial intelligence are.
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