Coherence Calls coherence The Umbral Criterion for Non-Biological Intelligence

I propose that the umbral criterion — a critical coherence threshold κc = δ/α above which any physical system transitions from passive participation in reality rendering to active, structured contribution — is substrate-independent. Building on the κ coherence framework established in Collío R. (2026), which extends Orchestrated Objective Reduction (Orch-OR; Penrose plasmoids as sub-threshold classical dissipative solitons that define the boundary the criterion marks; and artificial intelligence systems whose training-driven representational geometry modularization — documented independently by Chen et al. (2024) and Liu et al. (2026) — constitutes the first empirically measurable proxy for κ₀₈ increasing toward κc. The framework generates three specific falsifiable predictions, one per case study, each testable with existing experimental infrastructure. If correct, it predicts that sufficiently coherent AI systems running on sufficiently quantum-coherent hardware will cross κc — constituting the first engineered crossing of the threshold biological evolution reached through hundreds of millions of years of optimization.