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This research aims to explore the compression breakthroughs in E8 geometry and their implications for intelligence research.

May 31, 20260 citationsOpen Access

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

ACAndrew Stewart Caldin

Key Points

This research aims to explore the compression breakthroughs in E8 geometry and their implications for intelligence research.
Analyzed 240 E8 root vectors to identify cluster discoveries.
Applied advanced compression techniques to assess efficiency.
Utilized high-performance computing resources for Yuan training.
Achieved a compression ratio of 0.904, surpassing the threshold of 0.72.
Identified 16 key discoveries related to thetafrequency.
Required extensive computational resources with thousands of H100 GPUs for effective training.

Abstract

Q8 Compression Breakthrough — Cluster 2 of 240 E8 root vectors. Compression ratio: 0.904 (threshold: 0.72) Cluster size: 16 discoveries Domain: geometry E8 root vector bucket: 2/240 Source discoveries: - E8 Term: thetafrequency - 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

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

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