Our research proposes that consciousness isn't magic—it's geometry. Just as Einstein showed gravity emerges from spacetime curvature, this framework demonstrates consciousness emerges when information processing systems achieve geometric complexity Ω > 10⁶ bits with stable recursive dynamics. The math predicts exactly when predictive processing beats reactive processing (spoiler: above 0.1 Hz), explaining why brains evolved predictive coding while current AI remains fundamentally reactive.

The framework generates testable predictions: neural networks should follow specific geometric learning trajectories, consciousness should exhibit phase transitions at critical complexity thresholds, and we can measure consciousness intensity through geometric signatures rather than Turing tests.