Feature-Orbit Attractors

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…

AI-Enhanced Media Filtering: Decentralizing Truth in the Digital Age

The Issue with Mainstream Media Homogeneity * Uniform Narratives: Mainstream media outlets often appear to follow similar scripts. When viewed in isolation, this uniformity can seem natural, but a deeper analysis reveals that many reports share the same underlying narratives—potentially driven by similar data sources, corporate pressures, or political biases.…