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The research explores breakthroughs in compression through Cluster 189 of E8 root vectors, focusing on AI model enhancements.

May 31, 2026Open Access

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

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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