Slate Colebank

Senior Project Advisor

Kameron Decker Harris

Document Type

Project

Publication Date

Spring 2025

Keywords

Computer Science, Artificial Intelligence, Generative Artificial Intelligence, Large Language Models, Technology, Content Creation, Virtual Entertainment, Live Streaming

Abstract

This paper examines the emergence of generative artificial intelligence (AI) in content creation and evaluates its future involvement in varying forms of internet media. This paper utilizes case studies of multiple different AI projects, beginning with pioneering projects such as Nothing, Forever and moving to more modern examples, namely Neuro-sama to understand the dynamics behind their successes and failures. Furthermore, it also evaluates the feasibility of hyper-personalized media content. The research reveals that early AI generated media relied heavily on novelty and absurdity in order to garner short-term attention, without any way to create lasting entertainment value. Contemporary examples found longevity by combining AI generated content with human creativity. This paper argues that audiences value human authenticity in the media that they consume, therefore media containing AI generation must also include human originality in order to be successful and that the feasibility of the hyper-personalization of media depends much on the timeline of advancement for large language models.

Department

Computer Science

Type

Text

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf

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