Independent researcher working on architectural limits of verifiability
in adversarial AI settings.
Core question: can an environment be designed where an autonomous agent
structurally cannot distinguish a true result from a plausible one?
I believe yes, and have a formal construction + conceptual validation
against 10 frontier models. This is intermediate work — single-query
case is proven, adaptive multi-query remains open.
Background: 25 years in business, with AI-focused work since 2018
(industrial automation, conversational AI, enterprise management).
Transitioning into foundational safety research. No academic affiliation.
Preprint: https://doi.org/10.5281/zenodo.21261173
Sandbox for replication: https://hybra.ru/mirage/