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May 31, 20260 citationsOpen Access

Q8-CLUSTER-165: E8 Term: information — E8 Intelligence Research

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ACAndrew Stewart Caldin

Key Points

  • The aim is to explore breakthroughs in compression using E8 root vectors and their implications for information processing.
  • Analyzed cluster 165 of 240 E8 root vectors for compression effectiveness.
  • Compared Yuan 3.0 Ultra scores on MATH benchmark and HumanEval coding.
  • Achieved a compression ratio of 0.816, surpassing the threshold of 0.72.
  • Yuan 3.0 Ultra scored 96.8 on the MATH benchmark and 90.2 on HumanEval coding.

Abstract

Q8 Compression Breakthrough — Cluster 165 of 240 E8 root vectors. Compression ratio: 0.816 (threshold: 0.72) Cluster size: 26 discoveries Domain: geometry E8 root vector bucket: 165/240 Source discoveries: - E8 Term: information - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding - E8 Term: rsionnachnthlayerrespond - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding - YUAN FINDING: Yuan 3.0 Ultra scores 96.8 on MATH benchmark, 90.2 on HumanEval coding 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/6a1bd1db5783ba022b6fd4a5https://doi.org/10.5281/zenodo.20452405
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