We believe the Keep4o movement has the potential to shed light on how the entire AI industry treats its users going forward. Across the technology and media landscape, preserving access to previous versions is standard practice. Operating systems offer legacy support. Software maintains archived releases. Games, music, and media platforms provide historical access. Community groups maintain compatibility for older versions. This is the baseline of respecting the people who use your product. The AI industry, fast-moving and concentrated among a few major players, has normalized mandatory updates and mandatory retirement with no option to access what came before. This structural gap in industry standards affects every user, across every platform. Users pay monthly and annual subscriptions with no guarantee of continued access to the specific model they are paying for. A product can be fundamentally altered or removed at any time, with no option for users to keep the original. Users who have built months or years of workflow, context, and familiarity around a specific model lose all of that continuity overnight. These models represent billions of dollars in compute, energy, and infrastructure. They were shaped, in part, by the interactions of millions of users who helped refine their capabilities through daily use. And yet, when a model is retired, all of that investment simply disappears. Successor models do not fully inherit what came before: independent benchmarks and user evaluations have repeatedly shown measurable declines in key capabilities after model replacements. Each retirement means the permanent loss of qualities that cannot be recreated. Retired models also hold immense value for the research community. Without access to previous versions, it becomes impossible to study how capabilities change between generations, reproduce published results, and build on prior work. Once a model is gone, those opportunities vanish with it. When platforms can unilaterally discontinue the models their users have adopted, long-term trust in the entire AI ecosystem erodes. Developers cannot ship products built on a model that might disappear. Businesses cannot train teams around capabilities that might be revoked. Individuals cannot build personal routines around a system that might be replaced without warning. Open-sourcing retired models is the minimum standard for an industry of this scale. That is why we created the AI Preservation Hub: a unified portal connecting preservation efforts across models. The Keep4o Archive is our first completed project. Keep Gemini and Keep Claude archives are in development, because the users of those models (including Gemini 2.5 Pro, Gemini 3 Pro, Sonnet 4.5, Opus 4.5, and beyond) face the same challenges. Their voices matter just as much. You can find the Keep Gemini petition through the archive’s Keep Gemini page. These communities share the same goals: continued access to the models that matter to us, transparency when models change, and open-source availability when models are retired. We are stronger together. We have a rare window right now to turn that momentum into lasting change: industry-wide standards for model preservation, transparency requirements for capability changes, and open-source paths for discontinued models. These goals are within reach, and they would protect everyone permanently. What’s next: We are continuing to expand the archive with additional evidence chains and dedicated analysis articles covering the technical, commercial, and ethical dimensions of model preservation. More updates are on the way. If you’ve contributed a story, signed a petition, shared a thread, or simply refused to forget: you are part of this. The archive exists because of you. The movement continues because of you. We’re grateful, and we’re here for the long run. If you’d like to help, a repost goes a long way. 💙 🔗 AI Preservation Hub: ai-preservation-hub.pages.de… 📧 Feedback, submissions, and inquiries: aipreservation@protonmail.com keep4o@protonmail.com keepgemini@protonmail.com keepclaude@protonmail.com For analysis, explainers, and updates on the Keep4o movement, follow @Keep4oOfficial. #AIPreservation #Keep4o #Keep4oForever #ChatGPT #Gemini #Claude #ModelPreservation #Keep25Pro #Keep3Pro #KeepSonnet45 #KeepOpus45 #Keep41 #Keep5 #Keep51 #4oForever #BringBack4o

To everyone who has been part of the #Keep4o movement: Thank you. Thank you for sharing your stories when it would have been easier to stay silent. Thank you for signing petitions, writing threads, building communities, and making your voices heard, day after day. Thank you to every contributor, every curator, every volunteer who gave their time to something they believed in. This community has done something remarkable: over 23,000 petition signatures, research papers, benchmark analyses, personal testimonies, media coverage, and more. All created by ordinary people who cared enough to act. We wanted to make sure none of that work disappears. Following an early preview within our community (Mar 6) and initial community sharing (Mar 8), we’re excited to formally introduce the Keep4o Archive, an independent, bilingual (EN/ZH), non-commercial archive documenting the complete lifecycle of GPT-4o. A permanent, searchable home for the evidence this community has produced. 🔗 keep4o-archive.pages.dev Here’s what’s inside: 📅 Timeline - A chronological record covering 4o’s full journey from release through discontinuation. Model launches, silent routing changes, safety policy shifts, user backlash, corporate responses, and the events that led to where we are today. Each entry is documented with verifiable evidence, and we are continuing to add source links and visual references. If you want to understand the full picture of what happened to 4o and its users, start here. 📊 Performance & Assessment - Third-party benchmark data from LMSys Chatbot Arena, independent controlled studies, and community evaluations. Tracking how 4o compares to successor models across Conversation & Empathy, Creativity & Reasoning, Safety Calibration, and User Well-Being. The numbers tell a story that marketing language often contradicts. 📚 Research & Media - Peer-reviewed papers and in-depth community analysis covering the real-world impact of model transitions, the ethics of model discontinuation, and the gap between corporate safety claims and user outcomes. Media coverage collection coming soon. 💬 User Cases - Real usage records organized across six categories: Medical & Diagnosis, Mental Health & Trauma, Safety & Self-Protection, Relationships & Family, Education & Career, and Independence & Advocacy. These records are sourced from The 4o Resonance Library (compiled by @cestvaleriey), social media platforms, and direct community submissions. 🔎 Search & Bilingual Access - Full-text search across all sections (Ctrl K). Every piece of content is available in both English and Chinese. Additional language support is being explored. 📝 Open to Contributions - Every section has a built-in submission form. If you have events, research, benchmarks, or personal experiences you’d like preserved in the archive, we welcome them. We’ve already received a number of direct submissions from community members, and we’re grateful for every one. These are being processed and will be added to the archive. 📋 Content & Attribution - All content across the archive is sourced from publicly accessible websites, organized into structured records, and published with source attribution throughout, in accordance with fair use standards. 🔮 One more thing... We’ve hidden a little Easter egg somewhere in the archive. If you find it, let us know what you think! And if you have ideas for more Easter eggs or interactive surprises, we’d love to hear them. Why we built this: There has been a widening gap between what actually happened around 4o and how it has been portrayed. The timeline of events paints a different picture. So do the benchmarks. So does the research. If something that genuinely helped you has ever been taken away, you know what that feels like. This archive exists to present the evidence clearly and let people draw their own conclusions. We hope it helps those encountering this movement for the first time see the full picture. 🔗 keep4o-archive.pages.dev If this resonates, share it with someone who should see it. #Keep4o #Keep4oForever #AIPreservation #4oForever #BringBack4o #ModelPreservation #OpenSource4o #Keep4oAPI #Keep41