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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Generative Lossy Channel: Five Sufficient Conditions for Net-Beneficial Noise

Authors: McEntire, Jeremy;

The Generative Lossy Channel: Five Sufficient Conditions for Net-Beneficial Noise

Abstract

Capstone theory bridging AI and organizational series. Proves that organizational dysfunction and creative emergence are the same mechanism: any communication channel with preference divergence is endogenously lossy; any lossy reconstruction maintaining coherence must diverge from the source. This divergence — the generative residual — produces dysfunction under convergent selection and novelty under divergent selection. Version 2.0: Merged with former Paper 10 (Compression, Selection, and Organizational Self-Deception). Now includes substrate-independence argument (cognition, organizations, AI, academia), Ratchet mechanism formalized as Proposition 2.5, three self-referential examples replaced with external evidence (Berliner/Pressing on jazz, Vaughan on Challenger, Perez/Sharma on sycophancy).

Keywords

organizational dysfunction, generative residual, substrate independence, rate-distortion, information theory, creative emergence, lossy channel

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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
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