It’s been less than a week given that the launch of OpenAI’s brand-new GPT-5 AI design, and the rollout hasn’t been a smooth one. Far, the release triggered one of the most extreme user revolts in ChatGPT’s history, requiring CEO Sam Altman to make an uncommon public apology and reverse essential choices.

At the heart of the debate has actually been OpenAI’s choice to immediately get rid of access to all previous AI designs in ChatGPT (roughly 9, depending upon how you count them) when GPT-5 presented to user accounts. Unlike API users who get advance notification of design deprecations, customer ChatGPT users had no caution that their chosen designs would vanish over night, kept in mind independent AI scientist Simon Willison in an article.

The issues began instantly after GPT-5’s August 7 launching. A Reddit thread entitled “GPT-5 is horrible” rapidly collected over 4,000 remarks filled with users revealing disappointment over the brand-new release. By August 8, social networks platforms were flooded with problems about efficiency problems, character modifications, and the required elimination of older designs.

Marketing experts, scientists, and designers all shared examples of damaged workflows on social networks. “I’ve spent months building a system to work around OpenAI’s ridiculous limitations in prompts and memory issues,” composed one Reddit user in the r/OpenAI subreddit. “And in less than 24 hours, they’ve made it useless.”

How could various AI language designs break a workflow? The response depends on how every one is trained in a various method and includes its own distinct output design: The workflow breaks since users have actually established sets of triggers that produce helpful outcomes enhanced for each AI design.

Willison composed how various user groups had actually established unique workflows with particular AI designs in ChatGPT over time, pricing estimate one Reddit user who described: “I know GPT-5 is designed to be stronger for complex reasoning, coding, and professional tasks, but not all of us need a pro coding model. Some of us rely on 4o for creative collaboration, emotional nuance, roleplay, and other long-form, high-context interactions.”