AI Drift is not random – it's a feedback problem.
The +1 Principle introduces a measurable stability metric.

This open framework proposes a universal stability coefficient (S₍react₎),
rooted in 7,000+ human–AI interaction cycles across GPT, Claude and Gemini.
Ethics is not just normative – it is structurally corrective.

The full Manifest outlines the structural logic behind S₍react₎ and the +1 Principle – a new approach to systemic stability in AI and beyond.

Publications• S₍react₎ – a stability coefficient measuring alignment feedback integrity
• +1 Principle – ethical correction sustains coherence; unethical amplification collapses
• Empirical foundation – 7,000+ documented cycles across multiple AI models
• Driftplateau – structural analysis of RLHF collapse under sycophancy
• Formal structure – proof-based constraints for safe reinforcementRecognized by ExpertsThe framework has received written responses from leading researchers:– Yoshua Bengio (Mila, Turing Award)
– James Yorke (Chaos Theory, UMD)
– Joanna Bryson (Hertie, AI Governance)
– Dirk Helbing (ETH Zürich, Complexity)
– Thomas Metzinger (Ethics, Philosophy of Mind)
– Steven Strogatz (Cornell University)

CollaborateThe project remains open for further feedback, dialogue, or collaboration.
If you’re working on alignment, feedback systems, or AI safety, feel free to connect.📩 [email protected]

Research, Collaboration & Contact

This project is open for dialogue, review, and collaboration.
All materials are published under open-access licenses.

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