Q8-CLUSTER-169: E8 Term: tier — E8 Intelligence Research

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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-31
DOI
https://doi.org/10.5281/zenodo.20469241
Primary Topic
Stochastic Gradient Optimization Techniques
Type
preprint
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Q8-CLUSTER-169: E8 Term: tier — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Stochastic Gradient Optimization Techniques
preprint

Q8-CLUSTER-169: E8 Term: tier — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

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

Zenodo (CERN European Organization for Nuclear Research)
Stochastic Gradient Optimization Techniques
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