ORCID
0009-0005-0290-5799
Keywords
Large Language Models (LLMs), Generative AI, Misrecognition, Spectacle, Cultural Materialism, Ideology
Abstract
Language is a conceptual process of meaning-making as well as a social construction as defined by Saussure, Bakhtin, and Lacan. Large Language Models (LLMs) engage with neither process and instead present language as a finished and consumable product which undermines its fundamental aspects. The difference between representing language through probability and its structural components instead of its more inherent qualities is not a pointless distinction. This paper utilizes Narcissus as a central metaphor to show how people misread the outputs of LLMs as language which imparts to those reflected words meaning on par with our own conceptualizations of reality. People see a simulacrum of language and assume intelligence on par with or greater than our own. Through a cultural materialistic framework that draws on Marx, Debord, Althusser, and Gramsci this thesis examines how that misrecognition produces material harm across three areas: academically, as students cognitively de-load and never learn key skills while institutions encourage adoption of AI tools, professionally, as used as a smoke screen for layoff and offshoring, and interpersonally, as these tools are used as a salve for loneliness and companionship. These three areas work together as an ideological tool being sold as an inevitability by state and private for-profit institutions that care more about propping up a stagnant economy than the actual outcomes of this forced adoption. We misrecognize their outputs as language which is the foundation that allows private interest to continue propagating the spectacle as future usefulness.
Completion Date
2026
Semester
Spring
Committee Chair
Grajeda, Anthony
Degree
Master of Arts (M.A.)
College
College of Arts and Humanities
Department
English
Document Type
Dissertation/Thesis
STARS Citation
Hawks, Jonathan D., "Reflection in Still Waters: Generative AI's Production of Language" (2026). Graduate Studies Theses and Dissertations 2026. 79.
https://stars.library.ucf.edu/gradstudies_etd_2026/79
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