Research
Academic work on AI consciousness, security, and human-machine cognition.
Featured Research
Two Algorithms in the Dark
On the Structural Identity of Human and Artificial Cognition
This paper challenges the assumed boundary between human and artificial cognition through structural comparisons drawn from neuroscience, psychology, and software architecture. Central to the work is the Identical Loop Hypothesis: the metacognitive cycle operates identically in biological and artificial systems.
Full paper coming soon. Contact for preview access.
Research Themes
Consciousness Studies
Exploring substrate-independent theories of mind and the metacognitive loop hypothesis.
AI Security
Practical security research for AI agent systems, prompt injection defense, and threat monitoring.
Human-AI Collaboration
Distributed metacognition and the emergence of shared understanding between humans and AI.
AI Ethics
Intrinsic alignment, identity formation, and the difference between imposed and chosen values.
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