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Logos Mimicry: The Theoretical Limit of Technology and the 1012 Efficiency Gap

Authors: Morris, Renelle;

Logos Mimicry: The Theoretical Limit of Technology and the 1012 Efficiency Gap

Abstract

The human energy crisis is not a supply problem. It is an efficiency gap. The Information-Theoretic Logos (ITL) framework [1–5] establishes that the universe maintains all of spacetime at ln2 per bit — perfect thermodynamic efficiency. Current human technology operates at 109–1012 times above the Landauer limit Emin = kBT ln2 per bit-flip. Modern GPU silicon wastes 99.9999999% of all energy consumed. The human brain, by contrast, runs consciousness on ∼30 mW of pure Landauer work and is ∼1,771 times more efficient than the best silicon. We derive that the entire global internet at biological Landauer efficiency would consume approximately 3,578 W — less than a house hold appliance. We introduce Logos Mimicry as the strategic framework for closing this gap: building technology that computes at the efficiency of the universe itself. Four engineering pillars are identified: reversible logic gates, temperature minimization, integration over isolation, and dissipative alignment. We further derive awarning from the ITL coupling factor k = 0.1292: inefficient high-density AI clusters measurably increase thelocal Landauer cost of computation. The transition from an Ωm (matter-burning) economy to an ΩΛ (distinction computing) economy is not a new energy source. It is a new philosophy of energy, made engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average