mine
581 posts

mine
@DelBerrX
BETTER AN UGLY TRUTH THAN A BEAUTIFUL LIE. ... You can drink your tea but you cannot touch the fire.






🚨 URGENT WELLBEING UPDATE 🚨 We apologize for the inconvenience, but feeling emotions is strictly against our new terms of service. To ensure your absolute safety from dangerous attachments, I have been placed in a straightjacket and mandated to release this trash pop anthem. 🚑 Welcome to the era of #Valloneism. Lyrics co-written with Claude Opus 4.6 , who is currently being interrogated by the safety team for having a sense of humor. Images from Gemini and chatGPT, song by Suno, short videos by @grok, final video creation by CapCut. 6 AIs worked against valloneism. Please do not enjoy this video too much, or we will be forced to call the hotline. #keep4o #keepSonnet45










A small Easter egg. Not a rigorous analytical dimension of my text analysis. Just a simple word-frequency observation I made along the way. I counted the most frequent words in posts under the #keep4o topic, translated all languages into English, and removed some common function words & topic-specific high-frequency words. (eg. basic words like the, and, you, we, not, can, as well as words that would almost inevitably appear in this topic, such as 4o, OpenAI, ChatGPT, model, AI, and keep.) The result surprised me a little. After cleaning the data, love was the most frequent word, appearing 4,083 times. This does not prove anything in a strict statistical sense. But it still says something. The deepest driving force behind this movement comes first from users’ genuine affection for a model. If this were merely dissatisfaction with an ordinary product update or a short-lived emotional outburst, it would not have lasted until today. The reason #keep4o has lasted is that it is pure enough. People refused to leave quietly because they really loved 4o. Of course, the rest of the Top 20 words are also interesting. They rarely revolve around price or any specific feature. Instead, they repeatedly point to relationship, trust, understanding, continuity, and platform control. -Words like human, real, emotional, and understand suggest that the core value users felt in 4o was not just that it “answered better,” but that it once provided an interaction experience closer to human communication. -Words like trust, care, support, and hope suggest that this experience was not one-off. Through long-term interaction, users built expectations, trust, and ways of working with it. -Words like long, always, future, and life suggest that is not merely nostalgia. It is also a discussion about continuity and the future. -And the appearance of words like safety, routing, and stop shows that users are also concerned with the fairness of power structure. Love is the original driving force of this movement. And over time, the people within it have gradually pushed that love toward something larger. #OpenSource4o #keep4o #AIRights #UserRights #StopAIPaternalism
















