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Abstract We present NeuroCHIMERA (Neuromorphic Cognitive Hybrid Intelligence for Memory-Embedded Reasoning Architecture), a novel GPU-native neuromorphic computing framework resulting from the integration of two complementary theoretical and computational advances:Veselov's Hierarchical Number System (HNS) with consciousness emergence parameters
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Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.
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**CHIMERA v3.0** represents the future of natural language processing. It's the **first framework that runs deep learning entirely on OpenGL**, eliminating traditional token-based, transformer, and backpropagation approaches.
