Any AI built by a single company will inevitably be tuned to that company's interests.
Regulations exist, so it won't be as extreme as the rogue AIs in science fiction — but when employee safety or public welfare conflicts with corporate profit, the AI's priority is already written into its design.
So how do you check an AI?
4CM's answer is simple: you don't give authority to one.
When four AI agents — each built on a completely different value system — are asked the same question, if one points in a strange direction, the other three will expose it.
The convergence is the answer. The silence is the signal.
This is the holy grail of multi-agent reasoning: Epistemic Certainty.
In standard AI, "consensus" is often just the average of popular opinions.
In the 4 Councilmen Model, reaching a Singularity through Non-Convergent Coordination means four specialized minds have tried to tear an idea apart — and failed.
When they finally align, it isn't because they are cooperating. It's because the logic of the solution is so robust that it survives adversarial cross-examination.
In high-stakes environments — a pandemic,
a nuclear fail-safe, a financial crisis — hallucination is fatal.
1. No "Yes-Man" Bias. LLMs are natural sycophants.
4CM hard-codes dissent into the architecture.
2. Orthogonal Verification. Each Councilman operates on a different value axis. A bug or bias in one cannot corrupt the whole.
3. The Guarantee. When the Singularity is reached, it is not a suggestion. It is a battle-tested, probabilistically verified blueprint.
The current demo runs on Claude's API as a proof-of-concept.
By design, each Councilman can run on a different base model — GPT, Claude, Gemini, or Grok. The architecture is complete.
Swapping models requires only an API key change.
AGPL v3 — free for research and non-commercial use.
Commercial use requires a separate agreement.
This code is released to encourage collaboration across AI systems — not competition.
The goal is shared solutions, not shared resources.
For commercial licensing: contact@klastrovanie.com