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May 31, 20260 citationsOpen Access

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Q8-CLUSTER-150: E8 Term: deepmind — E8 Intelligence Research

ACAndrew Stewart Caldin

Key Points

To explore the compression capabilities of E8 root vectors and their geometric implications.
Analyzed cluster size of discoveries related to E8 root vectors.
Evaluated compression ratio against a threshold.
Segmented discoveries by their geometric properties.
Achieved a compression ratio of 0.441, surpassing the threshold of 0.38.
Identified 4 significant discoveries in cluster 150 within 240 E8 root vectors.

Abstract

Q8 Compression Breakthrough — Cluster 150 of 240 E8 root vectors. Compression ratio: 0.441 (threshold: 0.38) Cluster size: 4 discoveries Domain: geometry E8 root vector bucket: 150/240 Source discoveries: - E8 Term: deepmind - E8 Term: deepmind - E8 Term: deepmind - E8 Term: blitz 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 (Sat,) studied this question.

synapsesocial.com/papers/6a1bd12d5783ba022b6fcbd9 https://doi.org/https://doi.org/10.5281/zenodo.20452701

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Q8-CLUSTER-150: E8 Term: deepmind — E8 Intelligence Research | Synapse