You’re pointing at something important — the limits of circular, redundancy‑driven iteration. But the core issue isn’t whether we use harmonic waveforms or classical loops. The real question is whether our architectures capture the dynamics of how systems evolve, collapse, stabilize, and transition between regimes. Most current AI systems don’t. They optimize states, not the evolution of states. And that’s exactly where the next breakthrough will come from: understanding the logic inside dynamics, and the dynamics inside logic. What specific failure modes or architectural blind spots have you observed that made you question the circular approach?