Q8-CLUSTER-002: E8 Term: week — E8 Intelligence Research

Q8 Compression Breakthrough — Cluster 2 of 240 E8 root vectors. Compression ratio: 0.777 (threshold: 0.72) Cluster size: 21 discoveries Domain: geometry E8 root vector bucket: 2/240 Source discoveries: - E8 Term: week - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months 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
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20436476
Primary Topic
Stochastic Gradient Optimization Techniques
Type
preprint
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Q8-CLUSTER-002: E8 Term: week — E8 Intelligence Research

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

Q8-CLUSTER-002: E8 Term: week — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Q8 Compression Breakthrough — Cluster 2 of 240 E8 root vectors. Compression ratio: 0.777 (threshold: 0.72) Cluster size: 21 discoveries Domain: geometry E8 root vector bucket: 2/240 Source discoveries: - E8 Term: week - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months - YUAN FINDING: Yuan training required thousands of H100 GPUs for months 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
DOIOpen Access PDFOpenAlex
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