A Cross-Model Computational Review of Time Matter Consciousness

This volume preserves a complete, unedited record of simultaneous computational assessments of the Triaxial Existential Field (TEF) framework, conducted across five frontier language model families—Gemini (Google DeepMind), ChatGPT (OpenAI), Grok (xAI), Claude (Anthropic), and Perplexity (Perplexity AI)—between February and March 2026. Each model was provided with the full manuscript of Time Matter Consciousness and/or the fifteen individual TEF preprints published on Zenodo. Models were asked to evaluate the framework's internal coherence, cross-domain applicability, and comparative standing against established theories spanning 2,400 years, using a common five-criterion rubric: parsimony, unification, falsifiability, resolution power, and novelty. The five systems converged on a narrow scoring band (9.0–9.4 out of 10) with substantive agreement on TEF's core strengths and specific points of caution. Paradox counts ranged from 50 to 80 depending on counting granularity, with all models confirming cross-domain resolution across physics, mathematics, consciousness, chemistry, biology, and social theory. The reviews are presented in raw graphical-user-interface form exactly as they appeared during the assessment sessions, with no post-hoc editing, selection, or curation. Dialogic exchanges in which the author challenged or queried scoring decisions are preserved in full. This document is offered as a transparent computational record, not a substitute for formal peer review. Known limitations—including correlated training corpora, documented agreeableness tendencies, and lack of access to paywalled specialist literature—are disclosed in the methodology section.