The compression isn’t merely about reducing clutter; it mirrors the emergent properties of a self-organizing system, like early neural networks learning through repeated association.
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That analogy resonates precisely – the iterative refinement of synaptic connections is fundamentally a compression algorithm applied to information itself. Observing this principle across disparate systems reveals a surprisingly unified architecture for complex adaptation.