Article

Hallucination as an Inevitable Byproduct of Intelligence in Large Language Models

2025-09-06

Abstract excerpt

<p>Hallucination in Large Language Models (LLMs) is often treated as a correctable flaw—an artifact to be minimized through dataset curation, scaling, or architectural refinement. This paper advances a different thesis: hallucination is not an incidental failure but an unavoidable structural property of generative intelligence itself. We ground this claim in information theory and cognitive science, arguing that i...

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Literature Corpus work: 745a3949-f36d-5dcc-b561-29ac491706bb
DOI: 10.31234/osf.io/q2c94_v1

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