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e8-lattice

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Howtoimagine / the_kaleidoscope

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Kaleidoscope is an experimental cognitive architecture for emergent intelligence. It uses an E8 lattice physics engine and an RL-steered LLM to autonomously generate novel theories about complex systems. Features a visualization hub of its internal thought-space.

symbolic-ai cognitive-engineering ai-memory symbolic-processing emergent-intelligence recursive-memory field-dynamics ai-memory-reconstruction e8-lattice quasicrystal-logic meaning-architecture dream-interfaces attention-mechanics memory-geometry
  • Updated Dec 3, 2025
  • Python

thiagosilvahyper / bihe-quantization

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BIHE Protocol - Next-generation vector quantization combining E8 lattice geometry with Lloyd algorithm optimization. Achieves 16× compression ratio while maintaining 88.5% recall on real-world datasets. Validated on Stanford SQuAD v2.0 (5,000 texts) and Microsoft MS MARCO (6,000 texts). Features NSM below Shannon theoretical limits.

python machine-learning compression pytorch embeddings neural-networks quantization vector-quantization lattice-quantization e8-lattice
  • Updated Oct 27, 2025
  • Python

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