Bifurcation is the dynamic “splitting” of meaning in the Quadranym Model, where expansive (broad exploration) and reductive (focused refinement) orientations diverge along a shared semantic continuum. Like folding a map to reveal two distinct paths, bifurcation creates opposing yet connected perspectives, allowing the AI system to adapt, refine meaning, and navigate complexity. Even at neutral points where exploration and focus balance, bifurcation ensures semantic distinctions remain intact, driving coherence and flexibility.