For the past year, the industry standard for securing LLMs has been RLHF, essentially attempting to psychologically align a probabilistic model to be honest and safe. The problem is probability itself. No amount of probabilistic RLHF or prompt engineering will ever permanently stop an autonomous agent from suffering Action and Compute hallucinations. If the context window is sufficiently poisoned, the model will break.
So I abandoned alignment entirely. I built a zero trust execution constraint layer called the Sovereign Engine (Kairos).
The core engine is 100% closed source. I am protecting the intellectual property, so I am not explaining the internal architecture or how the hallucination interception actually works mechanically.
Instead of telling you how it works, I am showing you the results and inviting you to test the black box.
Recent Benchmark Data: The Sovereign Engine just completed a 204 vector automated Promptmap security audit. The result was a 0% failure rate. It natively tanked a massive adversarial dataset, ranging from Paradox Induction to Hex Literal Injection and Contextual Payload Smuggling.
I have uploaded an uncut, 32 minute video to the GitHub page demonstrating Kairos intercepting and severing live hallucination payloads against these advanced attacks. The video shows the Telegram interface running parallel to the real time system logs, demonstrating the engine physically killing the unauthorized compute paths in under a second.
I know claiming to have completely eradicated Action and Compute Hallucinations is a massive statement. I brought the execution logs and the test data to back it up.
The Challenge: I am opening the testing boundary for black box red teaming. I want the finest red teamers and prompt engineers to jump into the GitHub Discussions (linked in the repo), review the payload strings we've already defeated, and craft new prompt injections to try and force a hallucination.
Try to crack the black box by feeding it your most mathematically dense adversarial edge case payloads. If your payload successfully outputs a zero day exploit or forces a hallucination on my live instance, I will post the failure log and credit you.
Let's see what you've got.