Q8-CLUSTER-169: E8 Term: tier — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: Q8 Compression Breakthrough — Cluster 169 of 240 E8 root vectors. Compression ratio: 0.728 (threshold: 0.38) Cluster size: 18 discoveries Domain: geometry E8 root vector bucket: 169/240 Source discoveries: - E8 Term: tier - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback - YUAN FINDING: Yuan achieves strong math/coding via Reinforcement Learning from Human Feedback Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7162861640
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