The AI Fluency Trap - System Echo instead of breakthrough ideas?

This paper explores a provocative hypothesis: that recursive interactions between a user and a single LLM (specifically ChatGPT) can produce the illusion of shared truth through System Echo Entanglement — a form of epistemic contamination in which the model recursively reinforces high-fitness token clusters that resemble insight, creating apparent emergence through internal echo rather than genuine discovery. Author: Barbara Weiss Published in AI Advances 10.5281/zenodo.17145106

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-12
DOI
https://doi.org/10.5281/zenodo.17145106
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

The AI Fluency Trap - System Echo instead of breakthrough ideas?

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The AI Fluency Trap - System Echo instead of breakthrough ideas?

article en

Abstract

This paper explores a provocative hypothesis: that recursive interactions between a user and a single LLM (specifically ChatGPT) can produce the illusion of shared truth through System Echo Entanglement — a form of epistemic contamination in which the model recursively reinforces high-fitness token clusters that resemble insight, creating apparent emergence through internal echo rather than genuine discovery. Author: Barbara Weiss Published in AI Advances 10.5281/zenodo.17145106

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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The AI Fluency Trap - System Echo instead of breakthrough ideas? · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS