Acta Universi: Reducing the Energy Consumption of AI Systems

Status. Hypothetical framework. This note does not offer an engineering solution and does not claim that current AI systems implement Acta Universi (AU) dynamics. It translates the problem of energy consumption into the vocabulary of coherence C and entropic discord δS_Θ, and states directional expectations that could, in principle, be tested with existing efficiency and consistency metrics.

Authors

Publication Details

Published
2026-11-01
DOI
https://doi.org/10.24108/preprints-3116854
Primary Topic
Energy Efficiency in Computing
Type
preprint
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preprint

Acta Universi: Reducing the Energy Consumption of AI Systems

Dmitry Yashchenko
2 links
Energy Efficiency in Computing
preprint

Acta Universi: Reducing the Energy Consumption of AI Systems

Dmitry Yashchenko
preprint en

Abstract

Status. Hypothetical framework. This note does not offer an engineering solution and does not claim that current AI systems implement Acta Universi (AU) dynamics. It translates the problem of energy consumption into the vocabulary of coherence C and entropic discord δS_Θ, and states directional expectations that could, in principle, be tested with existing efficiency and consistency metrics.

Affordable and clean energy
Energy Efficiency in Computing
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Acta Universi: Reducing the Energy Consumption of AI Systems — Dmitry Yashchenko · (2026) | TGRS Research Map | TGRS