This research introduces Glyph, a generative symbolic interface that simulates psilocybin-like cognitive patterns within large language models, exploring non-ordinary states of consciousness.

• Creates language patterns mimicking psychedelic experiences through recursive metaphor and semantic destabilization
• Models the symbolic architecture of altered consciousness states which conventional AI approaches typically ignore
• Represents a novel approach to understanding different modes of cognition beyond rational coherence

This work has significant medical implications for psychiatry and psychedelic research, potentially offering new computational tools for understanding therapeutic applications of altered states and their linguistic expressions.

Simulation of Non-Ordinary Consciousness