Predictive Meaning and Tridimensional Symbolic Geometry: A New Framework for Brain–AI Alignment and Deaf‑Blind Communication

Neuroscience increasingly shows that the brain predicts upcoming words before they are spoken, activating semantic content prior to receiving sensory input. At the same time, next‑word‑prediction AI models exhibit internal activation patterns that closely parallel human neural dynamics. This convergence suggests that both biological and artificial systems rely on anticipatory symbolic states rather than reactive signal decoding. I argue that meaning in the brain appears as a tridimensional neural geometry—a reproducible spatial–temporal activation pattern that functions as an internal symbol. The sensorial pathway does not deliver data but acts as a symbolic update channel, modifying or confirming this pre‑existing geometric meaning state. This meaning‑first architecture aligns with the Unified Cosmology and provides a conceptual foundation for symbolic communication systems, particularly for deaf‑blind users. Communication can therefore be reconceived as the synchronization of tridimensional symbolic shapes, not the transmission of sensory signals.