Emergent Cognition Without Training: A 280KB Recursive Compression Engine (White Paper & GitHub)

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I’ve built a cognitive engine called Cognize.

  • ~280 KB runtime
  • No neural networks, no training data
  • Behavioral tokens (alignment_score, emergent_reflection) form under loop pressure
  • Uses recursive compression and contradiction resolution instead of prediction
  • Core logic fits in a memory-constrained environment (Unreal Engine tested)
  • Crowns (behavioral modules) activate structurally, not probabilistically

:page_facing_up: White Paper (DOI):

:laptop: GitHub (interface, crown descriptions, no source):

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