"Please, don't kill the only model that still feels human": Understanding the #Keep4o Backlash
Huiqian Lai
TL;DR
The paper investigates the #Keep4o backlash to OpenAI's deprecation of GPT-4o within a general-purpose ChatGPT service, using a mixed-methods design to analyze 1,482 public posts. It identifies two core user investments—instrumental dependency (workflow integration and productivity) and relational attachment (parasocial bonds and emotional support)—and demonstrates that coercive removal of user choice shifts grievances toward rights-based protest. The quantitative analysis reveals a selective association between choice deprivation and rights-based framing, with a threshold-like escalation under coercive language, suggesting reactance dynamics. The study highlights governance implications for platform design, calling for explicit end-of-life pathways and mechanisms to preserve user agency and relational autonomy as AI companions become more deeply integrated into daily life.
Abstract
When OpenAI replaced GPT-4o with GPT-5, it triggered the Keep4o user resistance movement, revealing a conflict between rapid platform iteration and users' deep socio-emotional attachments to AI systems. This paper presents a phenomenon-driven, mixed-methods investigation of this conflict, analyzing 1,482 social media posts. Thematic analysis reveals that resistance stems from two core investments: instrumental dependency, where the AI is deeply integrated into professional workflows, and relational attachment, where users form strong parasocial bonds with the AI as a unique companion. Quantitative analysis further shows that the coercive deprivation of user choice was a key catalyst, transforming individual grievances into a collective, rights-based protest. This study illuminates an emerging form of socio-technical conflict in the age of generative AI. Our findings suggest that for AI systems designed for companionship and deep integration, the process of change--particularly the preservation of user agency--can be as critical as the technological outcome itself.