When Recognition Does Not Imply Inhibition

This technical note analyzes a structural failure mode in large language models, where semantic recognition of constraints does not translate into operational inhibition. The work reframes this behavior as a regime transition without a faithful embedding between diagnostic and execution regimes, highlighting non-parametric limits to controllability relevant to AI safety and system architecture.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-22
DOI
https://doi.org/10.5281/zenodo.18338331
Primary Topic
Formal Methods in Verification
Type
article
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article

When Recognition Does Not Imply Inhibition

Danilo Tavella
Zenodo (CERN European Organization for Nuclear Research)
Formal Methods in Verification
article

When Recognition Does Not Imply Inhibition

Danilo Tavella
article en

Abstract

This technical note analyzes a structural failure mode in large language models, where semantic recognition of constraints does not translate into operational inhibition. The work reframes this behavior as a regime transition without a faithful embedding between diagnostic and execution regimes, highlighting non-parametric limits to controllability relevant to AI safety and system architecture.

Zenodo (CERN European Organization for Nuclear Research)
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Formal Methods in Verification
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When Recognition Does Not Imply Inhibition — Danilo Tavella · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS