following up after astra launch week and the navier-stokes announcement i wanted to share a little bit about how we think about and build for the over 1 billion people who use chatgpt every week, most of whom use it for free. we’re on a mission to distribute the benefits of agi, and i think this is the most impactful way to do that: giving people as much access as we can safely and feasibly distribute. we want to scale the utility that everyone gets from ai. over the past 6 months, we've been working to bring the greatest possible capabilities to the broadest possible set of users, including both free and paying users. of course there are some practical limitations and we can’t ship the largest models to everyone, but since march (gpt-5.3 instant), we’ve improved the default chatgpt experience meaningfully: - responses with a major factual error are down 65%, and they are down 72% in high stakes categories like finance - gpt-5.6 sol at instant and gpt-5.6 luna at medium are smarter than o3 at high reasoning effort, our frontier reasoning model from 17 months ago, while being considerably faster, 30%+ faster time to last token (evaluated via GPQA diamond) - chatgpt is far more usable and enjoyable while bringing extreme sycophancy down 80% and overall sycophancy down 83% - on our high-stakes medical eval, chatgpt produced 83% fewer answers flagged for hallucinations, resulting in hundreds of millions of better health conversations per month - we're seeing people find more ways to use chatgpt. for a recently joined cohort, we saw the number of use cases pursued at least three times weekly go up 20-30% not only have we improved the default chatgpt experience dramatically, we’ve also expanded access significantly for all. free users now: - have access to unlimited text chats - can use higher reasoning effort - now have access to automations, letting them schedule tasks to happen later - have access to better memory through dreaming. this allows chat to personalize much more effectively we’re always looking for ways to expand access to the billion+ people who use our product weekly. this is the master plan: bring the default experience as close to the capability frontier as possible, expand access to everyone, making intelligence maximally abundant, and make our product much more usable. this last point, usability, is something we’ve been focusing on as we bring personal agi to everyone. the current top of the line capabilities are staggering, but only the savviest users and insiders know how to use them. our vision is of a progressive, model assisted, onboarding to agi. chatgpt will guide people from all walks of life to the highest utility applications of ai for them. this really is the only way – we think technology that is hard to learn ultimately fails to reach a broad audience. your personal agi will just understand your goals, and automatically use the right set of features and capabilities to get things done for you lots more to come soon. onwards to scaling utility for all

@__alpoge__ nothing at all was locked we were just willing to talk but you didn't talk to us ... sorry but that's just untrue, we were willing to go above and beyond and have as many discussions as you would have liked to reach resolution.

Some more technical points: (a) We began working on the Millennium problems due to viral twitter rumors that Anthropic had resolved 2 Millenium problems. Our aim was to see whether our system was also capable of this impressive feat, especially given our excitement regarding the large recent capability increases of our internal model detailed in our blog post. (b) We did not see any of their work until they released it publicly last night. One can in hindsight see that our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced). It is also worth noting that our team consisted largely of mathematicians, physicists and computer scientists with the deepest roots in academia and respect for the stature and integrity of the Millennium problems. (c) Levent reached out unprompted to an OpenAI employee on Wednesday. Due to his numerous posts on Twitter (S^6, Jacobian, Hadamard…) which appear to represent Anthropic and use Anthropic internal models, we believed that their project was, at least in part, an Anthropic project. Additionally recent further tweets by Levent (“augustus mirabilis”) led us to believe that they had solved at least 1 Millennium problem and would likely release it soon. (d) Regarding the level of human involvement on our end: although a group of people was involved in our efforts, we collectively had no research-level expertise in fluid dynamics and the Navier-Stokes problem, and therefore were unable to meaningfully contribute to the mathematical content. We involved several people in order to initially attempt multiple Millenium problems using a variety of multiagent techniques.

I would like to clarify a few things: 1) The screenshot is my reaching out to Levent to coordinate our releases. I hope it’s clear from the message that we came in with the best possible intentions. 2) I never ever asked for Levent to be removed from authorship of his own work (as indicated by my text). I was surprised to learn during the call with Tristan that they had only solved Euler and not Navier-Stokes; after learning this we brainstormed possible paths forward. One option we discussed was that Tristan could be the lead author on a rewrite of OpenAI’s Navier-Stokes proof. It is in that context that I said “it would be simpler if Levent was not an Anthropic employee” because I felt it would be inappropriate for an Anthropic employee to author OpenAI’s work. Importantly it was admitted that internal Anthropic models had been used in their proof of Euler blowup; I therefore felt I could not consider Levent to be an independent academic. Another option I wanted to propose (but got cut short) is to offer access to our internal model so that they could try to finish their proof and bridge the gap between Euler and NS. Again I did not know how to navigate giving access to internal OpenAI IP to an Anthropic employee. 3) To reiterate it plainly: as my text clearly indicates, and as I said during our call, OpenAI's intention was to do everything possible to celebrate their mathematical achievements and the heroic efforts that they made on Euler. In the call I was immediately met with a litany of slander, including direct threats that if we were to announce Navier-Stokes he would immediately go to the press with a barrage of unfounded accusations. I refuted all these accusations but he replied “there is nothing you can do, I simply do not trust you”. I was confused why one would turn an incredible source for celebration (of their achievements!) into such bickering, which is when I said that I did not understand why one would risk their career [over unfounded accusations]. Genuinely, at that moment, I was trying to care for him and do a last ditch attempt to get a chance to give them all the credits that they deserve. I deeply apologize for this extremely poor choice of words, it is the opposite of what I was trying to convey. (I should say that I retracted them on the spot by the way.) 4) Overall, on a personal level, it was incredibly difficult to have these conversations. Levent refused to attend any of the meetings despite my repeated asking. As Sholto Douglas said, there will need to be coordination between Anthropic and OpenAI in the future; I felt I was doing a proxy negotiation with Anthropic while the Anthropic employee refused to directly participate.

It can be hard to “feel the AGI” until you see an AI surpass you in a domain you care deeply about. This week, many mathematicians and physicists at @OpenAI had their Lee Sedol moment seeing this model solve, in minutes, open problems they’d struggled with for years.

This model represents a step-function improvement on many benchmarks, and its training is ongoing. Our internal model group arrived at the Navier–Stokes solution in 88 hours, using around 10,000 coordinating AI agents. Throughout the effort, we maintained the strict safeguards—including monitoring and isolation—that we apply to all our frontier evaluations.

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

Seb is a really sweet guy with great intentions, am so happy for him that his week long collaboration with myself and others worked out, but very sad that we didn't get to finish it in the way we wanted. More to say tomorrow.

A series of false and inflammatory allegations against me are currently circulating on social channels. To clarify, I came into the discussion following academic norms, and I'm disappointed that it has come to this. Anyone who knows me knows that academic standards are of the highest importance to me. Will have more to say tomorrow.

An update from a benchmark I trust more than 99% of existing ones shows a massive jump with Astra. As capability advancement grows ever more jagged, users increasingly see only the parts of the elephant that relate to their tasks.

@ChaseLochmiller @OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years. AGI has arrived. Congratulations @OpenAI team. 400K GPUs coming online next.

Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same.

From GPT-4 to GPT-6. Sparks was a remarkably prescient paper that got a lot of pushback at the time, but absolutely sensed where the vibes were heading with LLMs based on a lot of qualitative experiments. It deserves credit in retrospect.

GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users in Work/Codex, and is available in the API. We will start rollout to Plus and Business users next. Thank you for the patience.

We will give one banked reset for every day you don't have access to Astra on your paid ChatGPT plan, starting today. Team is moving mountains to give access as fast as we can. First one will land in ~ 3 hours. There is still time to create your account if you don't have one.

As part of the GPT-6 Astra launch, we announced that Astra had given an improvement to the longest gap between primes by roughly a log log n factor; the first such improvement since the 1930's! (More recent progress by subsets of Ford, Green, Konyagin, Maynard and Tao and more recently by GPT 5.6 Sol were by logloglog n factors.) (1/4)