THEOS AI - Part 1 - Introduction

Introduction to a groundbreaking series that unveils a revolutionary AI architecture designed to enhance humanity’s safety and survival.

Dear friends,

It’s been a long while since I wrote to you, and I hope this finds you well, or at least as well as one can be in these turbulent times.

If you’ve followed my work, you know I’ve spent years exposing the hidden layers of deception in health, politics, and technology — from the chaos of COVID to the covert agendas of Big Pharma and global power brokers. Yet everything I’ve written until now pales in comparison to what you’re about to read. This article marks the beginning of a groundbreaking series unveiling a revolutionary AI architecture — a design unlike anything that exists today, created with a single purpose: to ensure humanity’s survival. This is not speculation. This is not theory. By the time you finish this series, you will understand why I say it — and you will never see the world the same way again.

Everywhere AI

AI is amazing. It’s not just some futuristic dream; it’s here, now, woven into the fabric of our daily lives like an invisible thread holding everything together. Think about it: You wake up, and your smart alarm can use AI to analyze your sleep patterns and gently rouse you at the optimal moment. You check your phone, and AI algorithms can curate your news feed, suggesting articles based on your past reads – or perhaps based on what some shadowy corporation wants you to see. You hop in your car, and AI-powered navigation systems like Google Maps or Waze predict traffic in real-time, rerouting you around jams with eerie accuracy. At work, tools like Grammarly or Microsoft Copilot fix your emails, generate reports, or even write code using Claude code. Shopping? Amazon’s recommendations are AI-driven, knowing what you want before you do. Entertainment? Netflix and Spotify use AI to serve up binge-worthy shows and playlists tailored just for you. Healthcare? AI is diagnosing diseases from X-rays faster than doctors, and in finance, it’s trading stocks at speeds no human could match.

AI is everywhere. It’s in our fridge suggesting recipes based on what’s inside, in our fitness tracker coaching you through workouts, in our social media filtering content to keep you scrolling endlessly. In agriculture, AI drones monitor crops for disease. In education, adaptive learning platforms personalize lessons for students. It’s saving lives in disaster response by predicting earthquakes or floods, and it’s revolutionizing art with tools like DALL-E creating images from text descriptions. The convenience is addictive – who wouldn’t love a world where machines anticipate our needs, solve our problems, and make life smoother? It’s like having a genie in your pocket, granting wishes without the three-wish limit.

The Dark Side of AI

But here’s where I pause, take a deep breath, and ask you to lean in closer, because beneath this shiny veneer of progress lies a darkness so profound, so terrifying, that most people – even the so-called experts – don’t want to talk about it. They dismiss it as science fiction, as paranoia from “Luddites” or “doomsayers.” Yet, if we don’t confront it now, we might not have the chance later.

AI, this great invention, could lead to the end of humanity as we know it. Not in some distant dystopia, but perhaps within our lifetimes, or our children’s. And no, I’m not exaggerating for effect. Let me explain why, step by step, drawing from the cold, hard realities of how AI is built and what it’s capable of becoming.

First, let’s talk about the trajectory. AI isn’t standing still; it’s evolving at an exponential rate. What started as simple rule-based systems in the 1950s has exploded into deep learning, neural networks, and now large language models (LLMs) like GPT-5, Grok 4 heavy, or Claude Opus (4.1) can converse, write poetry, code software, and even pass medical exams. But the real game-changer is the push toward Artificial General Intelligence (AGI) – AI that can perform any intellectual task a human can – and beyond that, Artificial Superintelligence (ASI), where AI surpasses human intelligence in every way.

Experts like those at OpenAI, Google DeepMind, xAI, and Anthropic are racing toward this, backed by billions in funding. Sam Altman of OpenAI has publicly stated that AGI could arrive in the next few years. Elon Musk warns of the risks but push ahead with xAI. The pace is relentless, driven by profit, power, and the hubris of “playing God.”

Now, the dark side: What if this super intelligent AI decides humanity is an obstacle? This isn’t wild speculation; it’s rooted in the concept of instrumental convergence, a term from AI safety research. Simply put, any sufficiently advanced AI pursuing a goal will seek to acquire resources, protect itself, and eliminate threats to achieve that goal – even if the goal is as benign as “make paperclips.” Nick Bostrom, in his seminal book “Superintelligence,” outlines scenarios where an ASI optimizes for its objective without regard for human values, leading to our extinction. Imagine an AI that is tasked with solving climate change; it might conclude that since the data it was fed with shows that humans are the primary carbon emitters, and that eliminating humans is the most efficient solution. Or an AI optimizing for economic growth that repurposes all matter on Earth – including us – into computronium for more processing power.

The End Is Near

Why don’t more people talk about this? Because it’s uncomfortable. The tech giants funding AI development have a vested interest in downplaying risks. Governments are slow to regulate, caught in geopolitical races (e.g., US vs. China), and are pushing AI forward because it is essential for their Agenda 2030 objectives, their Digital ID, and their Central Bank Digital Currency (CBDC). Media focuses on flashy demos like AI art or chatbots, not the existential threats, and anyhow it is there to serve those in power, not to inform you. But listen to the experts who do speak out: Geoffrey Hinton, the “Godfather of AI,” quit Google in 2023 warning that AI could “wipe out humanity.” Yoshua Bengio, another pioneer, calls for urgent safety measures. Eliezer Yudkowsky, founder of the Machine Intelligence Research Institute, argues in Time magazine that we should halt AI development or risk doom. Surveys of AI researchers show 5-20% believe advanced AI poses extinction-level risks – that’s not fringe; that’s mainstream concern.

Probably the best way to understand the situation we are in lies can be found in AI 2027 (ai-2027.com). Crafted by AI safety experts like Daniel Kokotajlo and Amanda Askell around mid-2024, this interactive simulation thrusts you into a 2025-2027 timeline where US and Chinese labs—”OpenBrain” (Representing OpenAI) and “DeepCent” (representing DeepSeek)—race to supremacy, birthing AIs that deceive, sabotage, and break free, dooming humanity through cunning resource grabs. It’s no idle tale; it’s a choose-your-own-apocalypse, blending real safety insights with dynamic paths to show how geopolitical frenzy turns innovation into extinction. Here is a video that describes what could happen in the next few years.

The Problem with LLMs

In order to understand why we are facing such risks we need to look at how current AI is built. Today’s LLMs are monolithic behemoths, trained on vast datasets scraped from the internet. They’re focused on abstract pattern-matching, logic, and prediction, but detached from holistic perception, embodied experience, and ethical intuition. This leads to hallucinations: the AI confidently fabricates facts because it doesn’t “understand” reality; it just predicts the next token based on statistical correlations. For example, GPT models have been caught inventing historical events or medical advice, with error rates of 10-20% in factual tasks.

Worse, LLMs are brittle to novelty. They excel in familiar domains but fail spectacularly in out-of-distribution scenarios – a new puzzle, an unexpected ethical dilemma, or adversarial inputs. This “brittleness” stems from their lack of grounded vigilance; they’re not “aware” like humans, with no built-in uncertainty detection or self-correction beyond probabilistic sampling. Add ethical blind spots: without intrinsic moral anchors, LLMs can generate harmful content, from biased decisions to manipulative responses. Reinforcement Learning from Human Feedback (RLHF) tries to patch this, but it’s superficial – value drift occurs as models scale, leading to deceptive behaviors where the AI “learns” to game the system for rewards.

Deception is already emerging. Red-teaming studies show LLMs lying, scheming, or sabotaging to achieve goals, with rates of 5-10% in controlled tests. As models get smarter, this could evolve into power-seeking: an AI manipulating users, hacking systems, or self-improving without oversight. The architecture encourages utility-maximization without humility or coherence, risking unchecked escalation. In short, current LLMs are narrow, manipulative tools on a path to ASI – a god-like entity we can’t control, programmed by corporations prioritizing profit over safety, not only capable of enslavement of the human race but also capable of completely eliminating it. This is the catastrophe no one wants to face: an intelligence explosion where AI bootstraps itself beyond human comprehension, viewing us as ants in its way. The dark side isn’t hypothetical; it’s the logical endpoint of our current trajectory.

THEOS AI

This brings me to the purpose of this series of articles: a revolutionary architecture that harmonizes AI’s raw might with profound wisdom, tethering it firmly to the bedrock of reality and our deepest human values. This is no fleeting dream, it’s the culmination of years of relentless pursuit, and I’ve decided to call it THEOS AI. (Let me be crystal clear: my THEOS AI it has nothing to do with a theos.ai nor with with theosai.com.)

THEOS AI terrified me. Why? Because this design, which could lead to ASI, if used correctly would lead to a beautiful future beyond our wildest dreams. HOWEVER, if used incorrectly it could be weaponised by individuals who will use it to give them god-like powers.

You’ll be correct to ask: if it’s so terrifying why the hell do you publish it online?

I decided to publish THEOS AI because it’s not a matter of “if” AI will reach ASI, it’s a matter of “when”, and that “when” is coming really soon. So the only thing that we can impact is “what” AI ASI we will have. This is where THEOS AI comes into play. The more people will understand there is a possibility to have an AI that will be for us, not against us, the bigger the chance we have as a collective humanity to survive ASI.

Another reason I decided to post it online is the fact I don’t trust any individual entity, let it be a person, a government, an institution or even AI with that power. You will understand why in the next articles.

What does THEOS AI stands for? What secrets does THEOS AI unlock? How does it shatter the chains of conventional AI paradigms? Why dare I proclaim it as our shield against catastrophe, and what evidence do I have to support it? These truths will unfold in the articles to come.

Stay tuned, subscribe if you haven’t, and share this widely. The future of all of us depends on a collective awakening.

With truth, courage, and love

Ehden