Moving beyond the input-output pipeline. A study on the structural necessity of feedback loops in AI. This post analyzes why closing the loop changes the nature of failure—leading to "bad attractors" where systems stabilize around error—and defines the shift from representation to selection in cognitive architectures.

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From Ouroboros to the Hero: Toward a Model of Mind I have come to think that one of the oldest images of mind is not the mirror, nor the machine, but the loop. Before there is argument, before there is planning, before there is a self that stands apart from the world and names it, there is a more primitive condition: a …

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