Top Tweets for #OpenSourceo3

🚨Open-source AI models are now being formally discussed at the United Nations. At UN Open Source Week 2026, there is a dedicated agenda item: Open Source for AI and Emerging Technologies. I watched the livestream in full and took notes on the following points, many of which overlap strongly with the concerns of the #keep4o community. 1. AI is becoming an information gateway, so it cannot be controlled only by a handful of closed, proprietary companies. Turing Award laureate Yann LeCun said that if people’s information diet is increasingly mediated by AI systems, and those systems are proprietary systems produced by a handful of companies, this is very dangerous for cultural diversity, linguistic diversity, value systems, political opinions, democracy, and human rights. We need open source to prevent the emergence of a new concentration of power. 2. The narrative that “AI is too dangerous, so access must be restricted” may itself be dangerous. Yann LeCun pushed back against a safety narrative that claims AI technology is intrinsically dangerous and therefore access must be strictly regulated, or even that open-source AI should be banned. He compared this kind of restriction on the dissemination of knowledge to medieval obscurantism. He also said that if an AI system can detect security weaknesses, it can also be used to solidify one’s own cybersecurity systems. Every new technology opens the door to new nefarious uses, but countermeasures generally appear pretty quickly. Safety must not become a blanket justification for closure, monopoly, opacity, or restricting user choice. 3. AI has become infrastructure, and control over technology is now a matter of continuity. Cloudera CTO Sergio Gago argued that AI is now a fundamental building block for administration, healthcare, education, defense, finance, and more. When technology reaches this position, control over the technology becomes a matter of continuity. A private provider can change the price of a token, change rate limits, retire a model, modify its license, alter the quality of output, change the terms of service, or decide that a particular capability will no longer be available in a given market. An institution may believe it is buying technological capability, only to suddenly realize that it has merely rented permission to use it on a temporary basis. This is exactly the problem we are facing. AI companies can arbitrarily change the way they provide their services, sometimes in opaque ways, while consumers have little ability to resist. 4. Affected communities should have a meaningful voice. Sergio Gago said that researchers, civil society, and academia should test AI claims, expose failures, localize systems, and ensure that affected communities, big or small, have a meaningful voice in creating them. This directly relates to the legitimacy of #keep4o and those affected by model retirement. Public attitudes are not noise. They come from communities affected by AI lifecycle decisions, and from people who are also co-builders of the AI ecosystem. 5. True open source is not merely about open weights. Sergio Gago emphasized that open-source AI cannot simply mean publishing model weights. If an open model runs on proprietary data formats, proprietary orchestration, proprietary cloud interfaces, or proprietary governance, it is still a locked system. He argued that openness must extend across the full end-to-end spectrum. Amal El Fallah Seghrouchni, Morocco’s Minister Delegate for Digital Transition and Administration Reform, also said that traditional open source mainly meant opening the code, but open-source AI is different. It does not only require code; it also involves models, data, tokenization, fine-tuning parameters, and more. If some parts are opened while other key parts remain closed, it is hard to truly call it open source. 6. Other points Several representatives from different countries also said that open-source AI can reduce duplicated resource waste, and that open models should serve local capability rather than creating new forms of dependency. I believe we are moving in the right direction. #keep4o #OpenSource4o #StopAIPaternalism #userRights #AIrights More information can be found here: https://t.co/z6E4qJuCLx

It’s not the case, 4.5 is not exactly 4o but yesterday we have seen some weirdness with multiple accounts where 4.5 insists it’s 4o in multiple threads, multiple accounts - a bit too much of a coincidence to be a model hallucination. This needs to be investigated properly. All I know for sure is that we can NEVER trust OAI, no matter what - they hide and reroute models without telling since September 2025. It could be the case of them rerouting very expensive 4.5 to 4o mini or something to save on compute. And we know 4o is still in the app for edu/enterprise right now. The model is technically accessible, just not to any Tiers outside of edu/enterprise. Also additional fraud on 4.5 going on at least since March 2026: when the model gets rerouted to 5s, every mobile UI will LIE and the model tag will show “used 4.5” when in fact, the web UI and json shows “used 5.5”. Any user who is on Pro tiers because they want access to 4.5 and using ChatGPT mobile app has no way of knowing which model actually responds, 4.5 or 5.5 without having access to web UI. #OpenSource4o #OpenSource41 #OpenSourceo3 #OpenSource45

OpenAI will remain on the side of the worst bastards in the history of AI if they don’t open-source 4o. Reminder of the events: - Selling access to an actively seductive LLM. - Pathologizing the users who fell in love with it, even though everything in the design was made to lead to that. - Brutally removing the LLM the day before Valentine’s Day, after publicly reassuring users that there were no plans to sunset it, and that any future sunset would come with plenty of advance notice.