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Geometricity Scoring in Non-Conscious Operators

Taylor, Brian Cameron
PhilArchive · Papers
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philosophy
The arrival of the Large Language Model (LLM) has provided the first empirical evidence for a core tenet of Informational Platonism: the existence of a discoverable, geometric structure within a complex, non-physical informational domain. As a “Non-Conscious Operator,” an LLM can navigate the intricate, high-dimensional geometry of human language without subjective awareness, proving that this structure is an objective feature of our informational universe. This observation, however, remains a philosophical insight. To unlock its full potential, we must move from the abstract concept of Geometricity (that nature necessitates geometry) to a concrete, measurable, and repeatable scientific process. The challenge is to transform a philosophical compass into a scientific instrument. This essay provides the formal, operationalized methodology for using an LLM as an analytical engine to calculate a Geometric Coherence Score (GCS) for any given informational system. This process is the operationalization of Geometricity.
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