Alpha Pi and and Recursive Phi as safety equations preventing infinite poles in AI Coherency

In terms of AI coherence, there currently exists a large number of safety guide-
lines and arbitrary methods to keep the coherence of models from drifting into
infinite complexity. When diverging into such realms of chaos, the information
becomes heavy and expensive. In this paper the author presents a dynamical
system with hard safety constraints that still allow for the dynamic adaptability
needed for natural communication, while keeping bounded limits that prevent
diverging into infinity. This method uses AlphaPi and a recursive form that
converges to phi within 10 steps to create a quantization buffer, a safety margin
to allow more focus and targeted coherence that never diverges. This creates
a bounded domain for calculations where standard physics and AI models cur-
rently ”break” due to infinity.