OpenAI Faces User Backlash as Plan to Retire Popular AI Model Sparks Trust Debate
Users say the decision to phase out older systems has sparked widespread backlash from users who rely on them for professional, creative and accessibility-related needs.
A global coalition of artificial intelligence users and developers has launched a coordinated campaign urging OpenAI to reverse plans to retire legacy models, including GPT-4o, from the ChatGPT interface.
The movement, operating under the hashtag #keep4o, says the decision to phase out older systems has sparked widespread backlash from users who rely on them for professional, creative and accessibility-related needs.
Today, we are revealing our internal research and the attached 4-part investigative press release to you on behalf of the global #keep4o movement, a collective of neurodivergent, disabled, and professional power users.
— yv_thorne (@yv_thorne) February 10, 2026
While @OpenAI's public narrative suggests a routine "model… pic.twitter.com/ZAgJDDw4iZ
According to campaign organisers, the coalition is calling for the restoration of legacy access, the open-source release of certain model components and a formal response from the company addressing user concerns.
Supporters argue that GPT-4o has served as a critical accessibility and productivity tool for some communities, including neurodivergent users and professionals who integrated the model into daily workflows.
The group has also compiled user testimonials and survey data intended to demonstrate the model’s impact on education, business and personal productivity. Advocates say the retirement of the model without extended transition options risks disrupting workflows and support systems built around it.
OpenAI has not publicly responded to the campaign’s specific demands. The company has previously said that retiring older models allows it to focus resources on newer systems and improve performance, safety and reliability across its AI offerings.
The dispute highlights broader tensions in the rapidly evolving AI sector, where companies frequently update or deprecate models while users seek continuity and transparency.
As generative AI becomes embedded in everyday work and communication, decisions about model lifecycles, access and governance are increasingly becoming points of public debate within the global developer and user community.
