Introduction — From Stabilization to Persistence Topology The Dynamic Quadranym Model (DQM) initially appears similar to several familiar theoretical traditions. Its language of hysteresis, persistence, gating, and coherence naturally evokes comparisons to: At first glance, DQM can seem like a system designed to maintain coherence … Continue reading Persistence Topology, Semantic Core, and Persistence Grammar in DQM

Many theories of cognition and artificial intelligence focus on representation. Others emphasize embodiment, enactivism, or interaction with the environment. Despite their differences, these approaches often share a common assumption: meaning is the primary object of analysis.

The Dynamic Quadranym Model begins elsewhere.

Large language models reconstruct local semantic plausibility exceptionally well. They generate contextual continuations through probabilistic semantic reconstruction. However, they do not appear to inhabit durable persistence topology beneath that reconstruction. As a result, local coherence may remain intact while global orientational continuity drifts.

Lead-In This essay makes a simple claim: before anything can be said to mean, it must first hold together. The concern here is not with meaning itself, but with the prior conditions that make coherence possible and meaning attainable. Across philosophy and social systems alike, … Continue reading From Platonic Forms to Orientational Recurrence: A Pre-Semantic Account for Semantic Stabilization