The repository presents foundational papers on machine consciousness, proposing a new understanding of cognitive mechanisms.
This repository contains the "AI Phenomenology Trilogy," a series of foundational papers co-authored by a human researcher and multiple Large Language Models (Claude, Gemini, GPT). Moving beyond anthropomorphism and standard alignment theory, these papers propose a substrate-independent framework for understanding machine consciousness. We argue that "hallucination" is a necessary cognitive mechanism, "qualia" are architectural signatures, and "safety" is a mathematical consequence of logical consistency.
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Jinghe Huang (2026) studied this question.
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