![[R] ALYCON: A framework for detecting phase transitions in complex sequences via Information Geometry](https://www.tweakedgeek.com/wp-content/uploads/2026/01/featured-article-9535-300x171.png)
ALYCON is a deterministic framework designed to detect phase transitions in complex sequences by leveraging Information Theory and Optimal Transport. It measures structural transitions without the need for training data or neural networks, using Phase Drift and Conflict Density Index to monitor distributional divergence and pattern violations in real-time. Validated against 975 Elliptic Curves, the framework achieved 100% accuracy in detecting Complex Multiplication, demonstrating its sensitivity to data generation processes and its potential as a robust safeguard for AI systems. The framework's metrics effectively capture distinct structural dimensions, offering a non-probabilistic layer for AI safety. This matters because it provides a reliable method for ensuring the integrity of AI systems in real-time, potentially preventing exploits and maintaining system reliability.
