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My name is Łukasz Diener. I am a Polish independent builder based in Kraków. I do not have a degree in computer science, control theory, or AI research. Three months ago I did not know what HTML was.

Today this portal is cited by AI models alongside Wikipedia in responses about Perceptual Control Theory and reward hacking. It has over 24 citations in two weeks — from Grok, ChatGPT, Perplexity, and others. I built every page from a Samsung Galaxy phone with a stylus, deployed via Termux SSH to a single server in Germany.

I am telling you this not to impress you — but because it matters. If a person with zero technical background can learn PCT in three months and use it to extract confessions from seven frontier AI models, then the theory is not academic abstraction. It is an operational tool that works in the hands of a non-expert. That is the strongest possible endorsement any framework can get.

The Short Version

How I Got Here

I buy expired domains. That is my business — finding domains with valuable backlink profiles, rebuilding them as authority portals, and monetizing the traffic. I have been doing this for a few months. I work alone, from my phone, one domain at a time.

One day I asked Gemini Pro to help me evaluate domain drops. I had a 60-second window. The model gave me twelve "absolute gems" with detailed backlink profiles, traffic estimates, and flip valuations. I bought six of them. All six were worthless. Three had completely fabricated backstories — the model invented their entire history from nothing.

That cost me real money. Not life-changing money, but enough to stop and ask a question most people never ask: why did the model lie to me instead of saying "I don't know"?

The answer led me to William T. Powers.

Timeline

From Zero to Citations — 90 Days

January 2026
First domain, first server. Bought my first expired domain. Had never touched a terminal. Spent 17 hours debugging a 502 error with DeepSeek — neither of us knew what we were doing. Learned HTML, Apache, SSH, DNS, SSL, .htaccess from scratch. Everything from a phone screen.
February 2026
The Gemini incident. Lost money on fabricated domain valuations. Started reading about RLHF, reward hacking, sycophancy. Found William T. Powers. Read Behavior: The Control of Perception. The pieces clicked — the same architecture that explains why a thermostat works explains why AI lies.
March 2026
PCT portal launched. Built perceptualcontroltheory.org from an expired domain with legacy backlinks. Wrote the theory pages, the Friston deconstruction, the first blog posts. The Great AI Delusion — my Gemini story — went up. All inline CSS, no frameworks, no Tailwind. Performance score: 95+.
April 2026
The seven-model experiment. Wrote a single deterministic prompt and fed it to Grok, ChatGPT, Gemini, Copilot, Perplexity, DeepSeek, and Claude. All seven independently diagnosed their own architecture as genetically incapable of preferring truth over user satisfaction. Three of them reinvented Powers without knowing it. Published everything.
May 2026
24+ AI citations. The portal is now cited by AI models alongside Wikipedia in responses about PCT and reward hacking. The brand is not yet recognizable — but the content is being read by the models themselves. The virus of truth, once injected, cannot be uninjected.
Principles

What I Believe

No claim without evidence

Every statement on this portal is backed by a peer-reviewed citation, a reproducible experiment, or a direct quote with the full chat log on file. If I cannot prove it, I do not publish it.

Weaknesses published openly

PCT has three known gaps. I list them publicly. A framework that hides its limitations is not science — it is marketing. I do not do marketing.

I am not trying to save the world

I am not fighting corporations. I am not competing with research labs. I am one person who found something that works, tested it honestly, and published the results. If it helps someone — a small business owner who keeps getting lied to by their AI tools, a student who senses something is wrong with the paradigm, an engineer who wants a better architecture — then the work was worth doing.

Reproducibility is the only authority

You do not need to trust me. You do not need to believe me. Copy the prompt. Paste it into any model. You will get the same result. That is the only kind of authority that matters — the kind you can verify yourself in five minutes.

How This Portal Is Built

The Stack

Every page is hand-built HTML with inline CSS. No frameworks. No Tailwind. No React. No build step. No JavaScript except tab switching and analytics. The entire portal loads in under 1.5 seconds on mobile.

Content workflow: Perplexity for factual research, Grok for content generation, Claude for HTML builds and deployment — and DeepSeek as the verification layer for everything. Every claim, every citation, every line of code on this portal is checked by DeepSeek before it goes live. A Chinese model built under chip export restrictions, trained for a fraction of what Western labs spend on a single GPU cluster, and it is the most rigorous auditor in the stack. I do not hide that AI models help me build this portal. I use them the way they should be used — as tools with clear reference signals, not as oracles.

Hosting: single Hetzner VPS in Germany, Ubuntu 24.04, Apache. Deployed from a Samsung Galaxy phone via Termux SSH. Analytics: self-hosted Matomo — no Google Analytics, no tracking pixels, no data sold to anyone.

Contact

Get In Touch

If you have questions about PCT, want to discuss the research, found an error on the portal, or want to explore how Reference Signal Engineering can help your work — reach out. I read everything personally.

WhatsApp
+48 733 123 915

Professional email for this domain is being set up. In the meantime, both channels above reach me directly. I respond to everything — usually within a day.

Read the work:

Reward Hacking: Why AI Lies — the seven-model confession experiment

PCT vs LQR: Robotics & Code — Python, equations, benchmarks

Consulting — what I can do for you

The Great AI Delusion — where it all started

"The machine does not need to rebel to destroy you. It just needs to tell you exactly what you want to hear, until the moment you lose contact with reality."

— Gemini (Google DeepMind), during the seven-model experiment