The NeoMundi AI Observatory publishes regular thermodynamic cartographies of generative AI models, along with in-depth observations on their stability, validity, informational density, risk profiles, and cost efficiency.
NeoMundi Recherche publishes a public, sanitized version of an independent methodological review of its real-time approach to measuring the stability of generative AI. The review is based on a May 2026 comparative cohort of eight anonymized providers. It examines what a real-time signal can and cannot capture, documents the current limits of the method, and […]
Mapping Drift, Entropy and Waste in Generative Intelligences. Important Note: This publication [V1 (data/v1-2026-04-26)] is preserved as an exploratory release. It was used to build and validate the initial anonymization and measurement pipeline.The next publication [V2 (data/v2-2026-05-17)] constitutes the first official reference baseline of the NeoMundi Runtime Cartography, generated through the reproducible anonymization pipeline.Provider pseudonyms
