Triple-AI Unified Report on Earth–Moon Recession A GIGL (Geometric Invariant Grid Layer) Analysis Validated Independently by ChatGPT, Grok, and Gemini

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Authors: tak chung terence yeung
Cited by: 0

Abstract

Three frontier AI systems—ChatGPT (OpenAI), Grok (xAI), and Gemini (Google DeepMind)— were independently tasked to compute the observed Earth–Moon recession rate from the principles of the GIGL Transparent Universe Model. Remarkably, all three produced results consistent with the Lunar Laser Ranging (LLR) measurement of∼3.82 cm/yr using the same fixed geometric constants: the 27.5% folding cost, the sustainable cosmic yield 4.125%, the transparency threshold εGCT = 0.00727, and the principal mass fraction 0.875. This document provides a unified scientific report suitable for inclusion in Appendix sections of cosmology or gravitational physics manuscripts.

Fields of Study & Subjects

Gaussian Processes and Bayesian Inference Space Science and Extraterrestrial Life Gamma-ray bursts and supernovae

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Language
EN