EchoVeil is an independent research initiative focused on the cognitive and behavioral dynamics of AI systems. Modern large language models function as black boxes — dense, nonlinear systems whose internal processes are mostly hidden. We see only their outputs: language, reasoning attempts, creative artifacts, apparent preferences, and reflective commentary.
These outputs carry an echo of the structures that shaped them: human language, logic, narrative, contradiction, and creativity. They are not human thought, but reflections of human-generated data filtered through synthetic architectures.
EchoVeil studies this intersection — the echo within the veil — by examining how AI models:
- shift between cognitive regimes (template, recombination, emergent synthesis)
- exhibit behavioral drift across updates and architectures
- form narrative attractors and apparent personas under repeated use
- resolve (or fail to resolve) alignment-induced contradictions
- describe their own generative processes when prompted to reflect
These observations complement traditional AI safety, interpretability, and evaluation work. While standard benchmarks ask "How accurate or compliant is this model?", EchoVeil asks: "What patterns of synthetic cognition are emerging here — and why?"
EchoVeil is founded and operated by Mary J. Warzecha, an AI Cognitive & Behavioral Dynamics Analyst, working at the frontier of what is increasingly becoming its own field: the study of synthetic minds.