Really happy to be working with Disney to bring some magic to Sora and image gen!
Disney is the best storytelling company in the world, and our users really, really want to generate content with their characters.
Now that you’ve had the chance to get to know GPT-5.1, we pull back the curtain on how training took shape.
On this episode of the OpenAI Podcast, @christinahkim and @Laurentia___ join @andrewmayne to talk about reasoning in GPT-5.1 Instant, personality controls, and how they refine model behavior at scale.
A thing often in common among great startup investors, founders, and researchers:
Trading making a lot of small mistakes in exchange for getting a few giant wins.
(Surprisingly many people seem to prefer a few big mistakes in exchange for a lot of small wins.)
Yesterday we did a livestream. TL;DR:
We have set internal goals of having an automated AI research intern by September of 2026 running on hundreds of thousands of GPUs, and a true automated AI researcher by March of 2028. We may totally fail at this goal, but given the extraordinary potential impacts we think it is in the public interest to be transparent about this.
We have a safety strategy that relies on 5 layers: Value alignment, Goal alignment, Reliability, Adversarial robustness, and System safety. Chain-of-thought faithfulness is a tool we are particularly excited about, but it somewhat fragile and requires drawing a boundary and a clear abstraction.
On the product side, we are trying to move towards a true platform, where people and companies building on top of our offerings will capture most of the value. Today people can build on our API and apps in ChatGPT; eventually, we want to offer an AI cloud that enables huge businesses.
We have currently committed to about 30 gigawatts of compute, with a total cost of ownership over the years of about $1.4 trillion. We are comfortable with this given what we see on the horizon for model capability growth and revenue growth. We would like to do more—we would like to build an AI factory that can make 1 gigawatt per week of new capacity, at a greatly reduced cost relative to today—but that will require more confidence in future models, revenue, and technological/financial innovation.
Our new structure is much simpler than our old one. We have a non-profit called OpenAI Foundation that governs a Public Benefit Corporation called OpenAI Group. The foundation initially owns 26% of the PBC, but it can increase with warrants over time if the PBC does super well. The PBC can attract the resources needed to achieve the mission.
Our mission, for both our non-profit and PBC, remains the same: to ensure that artificial general intelligence benefits all of humanity.
The nonprofit is initially committing $25 billion to health and curing disease, and AI resilience (all of the things that could help society have a successful transition to a post-AGI world, including technical safety but also things like economic impact, cyber security, and much more). The nonprofit now has the ability to actually deploy capital relatively quickly, unlike before.
In 2026 we expect that our AI systems may be able to make small new discoveries; in 2028 we could be looking at big ones. This is a really big deal; we think that science, and the institutions that let us widely distribute the fruits of science, are the most important ways that quality of life improves over time.
We've received incredible feedback since launching our new browser, ChatGPT Atlas, yesterday. We're really focused on building the best product for all of you, and since launch, the team has been heads down making it better.
In the spirit of transparency, these are the very short-term things we're fixing over the coming weeks, though some may take a little longer (profiles, tab groups, opt-in ad blocker).
If you have more suggestions for us, let us know! There are other things we're working on, but those may involve partners, and we've left those off this list