Q8-CLUSTER-145: E8 Term: example — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: Q8 Compression Breakthrough — Cluster 145 of 240 E8 root vectors. Compression ratio: 0.824 (threshold: 0.72) Cluster size: 17 discoveries Domain: geometry E8 root vector bucket: 145/240 Source discoveries: - E8 Term: example - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights - YUAN FINDING: Yuan MoE routes tokens to expert sub-networks via learned routing weights Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7162772845
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