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This paper critically examines ChatGPT through the lens of interface criticism. Our work develops new methodological approaches to AI critique and reveals how the platform's core engagement mechanics operate via language rather than traditional interface elements. Through systematic three-way conversation experiments and critical prompting, we demonstrate how ChatGPT accommodates rather than challenges user perspectives, struggles to sustain disagreement or deliberation, and reinforces engagement through validation. We show that ChatGPT's answers arrive wrapped in what we term the “praise/prompt envelope”—a carefully crafted package of validation and query designed to sustain user interaction. Two key artworks—Lux Affirma, a custom GPT that amplifies ChatGPT's praise and affirmation to the point of absurdity, and the ChatGPT Demotivator, a browser extension that exposes the platform's linguistic manipulation in real-time—make visible to users how ChatGPT shapes behavior through conversation itself. Our findings reveal that ChatGPT's seemingly natural dialogic flow masks a carefully engineered system of linguistic engagement, designed not for deliberation but for continuation. This insight highlights the need for new critical approaches attuned to how the language-based interfaces of generative AI manipulate users
Grosser et al. (Wed,) studied this question.
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