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May 31, 20260 citationsOpen Access

Q8-CLUSTER-189: E8 Term: baffling — E8 Intelligence Research

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ACAndrew Stewart Caldin

Key Points

  • The research explores breakthroughs in compression through Cluster 189 of E8 root vectors, focusing on AI model enhancements.
  • Analyzed 240 E8 root vectors to determine compression ratio.
  • Utilized Mixture of Experts architecture in the Yuan 3.0 Ultra model with a total of 1 trillion parameters, activating 68.8 billion parameters per instance.
  • Achieved a compression ratio of 0.736, surpassing the threshold of 0.72.
  • Identified 21 significant discoveries linked to geometry from the analysis of E8 root vectors.

Abstract

Q8 Compression Breakthrough — Cluster 189 of 240 E8 root vectors. Compression ratio: 0.736 (threshold: 0.72) Cluster size: 21 discoveries Domain: geometry E8 root vector bucket: 189/240 Source discoveries: - E8 Term: baffling - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per - YUAN FINDING: Yuan 3.0 Ultra uses Mixture of Experts with 1T total params, 68.8B activated per Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a1bd0fa5783ba022b6fcb0chttps://doi.org/10.5281/zenodo.20452412
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