Yavuz, Mehmet Can (2025) A Literary Illusion: Artificial Literature. [Preprint]

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Abstract

This study examines how large language models (LLMs) transform knowledge and literature from a technocentric perspective. While LLMs centralize human knowledge and reconstruct it in a relational memory framework, research indicates that when trained on their own data, they experience “model collapse.” Experiments reveal that as generations progress, language deteriorates, variance decreases, and confusion increases. While humans refine their language through reading, machines encounter epistemological ruptures due to statistical errors. Artificial literature diverges from human literature; machine-generated texts are a literary illusion. LLMs can be regarded as a technological phenomenon that instrumentalizes human knowledge, tilting the subject-object balance in favor of the machine and creating its own “culture.” They signal a shift from a human-centered paradigm to a knowledge-centered approach. This study questions the boundaries of artificial literature and whether machine language can be considered “knowledge,” while exploring the transformations in the human-machine relationship.

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Item Type:	Preprint
Creators:	Creators Email ORCID Yavuz, Mehmet Can mehmetcan.yavuz@isikun.edu.tr 0000-0003-1677-9496
Keywords:	artificial literature, machine language, natural language, culture
Subjects:	General Issues > Data General Issues > Computer Simulation General Issues > Confirmation/Induction General Issues > Experimentation General Issues > Technology General Issues > Theory/Observation General Issues > Thought Experiments
Depositing User:	Dr. Mehmet Can Yavuz
Date Deposited:	23 Feb 2025 14:29
Last Modified:	23 Feb 2025 14:29
Item ID:	24789
Subjects:	General Issues > Data General Issues > Computer Simulation General Issues > Confirmation/Induction General Issues > Experimentation General Issues > Technology General Issues > Theory/Observation General Issues > Thought Experiments
Date:	2025
URI:	https://philsci-archive.pitt.edu/id/eprint/24789

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