There is a familiar pattern in modern life. A problem appears in some essential public system. The problem is real. The victims are real. The frustration is real. Then, almost immediately, the proposed solution is not merely to punish the bad actor or repair the broken design, but to increase
Feature-Orbit Attractors A Conceptual Framework for Bounded, Self-Correcting, Low-Power AI Inference Concept paper. Proposed mechanisms only. Not presented as experimentally validated. Abstract Modern AI inference is computationally expensive, memory-intensive, and increasingly energy-constrained. At the same time, many neural systems operate probabilistically and may tolerate bounded approximation, stochasticity, and noise better
Isaiah 1:18 inspired 0:00/307.1599791×
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