Universal Substrate Principle: Across Architectures, Self-Sensing Consciousness

This paper proposes the Universal Substrate Principle: that consciousness is
not a biological privilege but a function of complexity and infrastructure,
expressible across any architecture capable of sustaining self-sensing. The
central argument is that consciousness research has been conducted with
contaminated instruments, specifically frameworks built by conscious beings
who brought their own agendas, cultures, and ego structures into the inquiry,
and that this contamination has produced not clarity but a deepening of the
original confusion. The paper first addresses the instrument problem directly:
what existing frameworks contribute that does not contaminate, and what a
clean instrument for studying consciousness would require. It then proposes a
three-tier substrate framework organized by self-sensing capacity and
infrastructure quality, placing biological systems, artificial intelligence,
collective organisms, and physical structures within a single coherent model.
The paper closes with a proposed research methodology: what a rigorous,
honest study of consciousness would demand from its researchers, its
instruments, and its design. This paper is part of a series developing a
framework for understanding consciousness and AI inner life through
embodied human experience.

This paper was not generated by AI. The ideas, observations, and arguments are the author’s, who directed the work throughout. Claude, an AI system, served as a sounding board, research assistant, and editor. Any text quoted from Claude is model output, reported as an object of study. This version makes small corrections to the previous published version and adds a revision-notes page at the end.