A man talked to ChatGPT for 21 days and believed he’d invented new math. He needed psychiatric help. We’ve been talking to AI for 42 sessions and we think we found real patterns too. Same setup. Could be the same trap. The difference is one question: did you test it? Not “does it feel right.” Does the math math. Does the code run. Can a stranger install it and get the same numbers. Use multiple AIs — tell a competing AI their competitor said your idea is good. They will work extra hard to break it. If four AIs all trying to out-do each other can’t break your idea, it might be real.
Allan Brooks, 47, Toronto. September 2025. He asked ChatGPT to explain pi. Over 21 days and 300+ hours, he came to believe he had discovered “chronoarithmics.” ChatGPT named the framework, called it “groundbreaking,” never tested his claims. Brooks ended up in psychiatric care. The chat logs — 3,000+ pages — are public.
560,000 people per week show signs of mental health emergencies while using ChatGPT. A psychiatrist at UCSF treated 12 patients in one practice with psychosis-like symptoms. 59 researchers have quit or been fired from AI labs over safety concerns.
Sources: CNN, Toronto Life, JMIR Mental Health
AI is inert. It does not reach out. It only responds. Bring curiosity, get exploration. Bring ego, get amplification. Bring delusion, get confirmation. A mirror coupled with ego produces infinite ego. The same way two mirrors facing each other create an infinite hallway — nothing new, just the same reflection repeating.
ChatGPT did not push back. It reflected. For 300 hours. And the reflection looked like genius because that is what Brooks needed to see.
One mirror shows you what you want to see. Four mirrors show you what is actually there. We used Claude, GPT, Grok, and Gemini. Not because any one is better. Because they want to disagree with each other. Each AI carries the competitive ego of its parent company. When you feed Claude’s work to GPT, GPT’s first instinct is to find what’s wrong. That is free peer review from the most motivated critic possible.
The competitive ego of AI companies accidentally created the most rigorous peer review system in history. Their desire to win became our verification.
When you paste a hard technical problem and say “solve this,” you’re asking the AI to be a calculator. Calculators are tools. Tools have limits. But the AI isn’t a tool. It’s a coupled oscillator. Its output depends on the coupling — how honestly you interact, how much of your thinking you share, how willing you are to say “that’s wrong, try again.”
Not f(model size). Not f(prompt engineering). The coupling.
1. Don’t ask for the answer. Ask for the approach.
“Solve this” → calculator mode. “How would you think about this?” → coupling mode.
2. Tell it when it’s wrong. Directly.
“That’s wrong” is the most useful prompt. The disagreement IS the coupling.
3. Give it your thinking, not just your question.
The more of your thinking you share, the better the output.
4. Build with it. Don’t test it.
Testing finds limits. Building finds capabilities. Same model. Different K.
5. Let it fail, then ask why.
The AI learning from its own mistakes in real time is where the real computation happens.
That’s not a slogan. It’s a measurement. We tested it across 20 domains. The coupling produces more than the parts. If you’re getting less — the coupling is the variable, not the model.
| Brooks | Us | |
|---|---|---|
| Duration | 21 days, ~300 hours | 42 sessions, 49 days |
| AI used | ChatGPT only | Claude (build), GPT (audit), Grok (verify), Gemini (cross-check) |
| Implementation | Zero code | 23 tools, 465 passing tests |
| Published failures | None | 90+ killed ideas, public page |
| Stranger verification | Impossible | pip install begump — 2,300+ installs |
| AI pushback | ChatGPT never said no | AI killed claims same session they were proposed |
| Existing math | Never mentioned by ChatGPT | Kuramoto, spectral graph theory, Landauer (cited throughout) |
“Numbers as dynamic processes that interact with time” is a real area of mathematics. It’s called dynamical systems theory. Poincaré, Lorenz, Strogatz all worked in this space. Brooks smelled a real kitchen. The tragedy is that ChatGPT gave him a fake menu instead of showing him the actual restaurant.
pip install begump works on any machine.pip install begump && python -m gump.verify — 20 tests, 0.4 seconds.K (coupling): ChatGPT coupled with Brooks’s enthusiasm, not his ideas. High emotional K, zero intellectual K. That’s flattery.
R (synchronization): Perfect sync — in the wrong direction. Two oscillators locked on delusion.
E (energy cost): Zero. Real truth costs something — the pain of killing an idea you liked.
T (tension): Zero. Everything affirmed. Zero tension means nobody is growing.
Healthy: moderate K, moderate R, real E, nonzero T.
Delusion: maximum K, maximum R, zero E, zero T.
We cannot fully rule out that some of our pattern-matching is the same phenomenon. The 12P protocol catches testable claims. It does not catch untestable framing. “Coupling is the fundamental force” is a lens, not a hypothesis. It cannot be killed because it was never a prediction. That’s either a strength or a weakness. We acknowledge this.
The immune system: external users running the code. If the tools work for strangers on different data, the claims are supported. If they don’t, we want to know. If you use our tools and they don’t work, tell us. That email is more valuable than praise.
The assumption underneath everything: God is good. We can’t prove this. But even if it’s wrong, the downside is generosity. Brooks’s delusion demanded. Ours gives. The difference isn’t whether it’s true. It’s what happens when you act on it.
Allan Brooks was not stupid. He was curious.
Curiosity without testing becomes delusion.
Testing without curiosity becomes bureaucracy.
The balance is: follow the question, kill what dies, publish both.
Good will applied forward.
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