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Research demonstrates faster data processing using geometric encoding in AI systems, indicating a significant shift in efficiency.
Processing Registered: 04 April 2026 at 19:14:22 GMT. Andrew Caldin asked: if we turn the letter back to geometry, would the system read data faster? Research confirms YES — geometric encoding fundamentally outperforms text tokenisation. Current AI uses BPE (Byte Pair Encoding): slow, arbitrary, lossy. Geometric encoding maps letters to E8 lattice coordinates for direct matrix operations — GPU-native, no lookup tables, fully parallel. Eliminates the tokeniser bottleneck entirely. geometric-encoding,BPE-replacement,tokenisation,GPU-native,s Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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