
Researcher @OpenAI | there is as yet insufficient data for a meaningful answer.
Palo Alto, CA
Joined February 2011
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ilge retweeted
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.
Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
Amazing.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
1. What
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.
ilge retweeted
for those like me who need a @3blue1brown video to understand what this means say thanks to fable
hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final
((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
openai.com/index/previewing-…
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946.
For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.
An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better.
This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.
The greatest game of all time.
Today, Descent II celebrates its 30th birthday.
Published on March 13, 1996, it is considered by fans to be the best in the franchise. One of its biggest strengths was the complete freedom of movement: no limitations, total six degrees of freedom (which set it apart from other FPS games at the time). But it also came at the cost of sometimes feeling lost or even nauseous.
The guide bot helped reduce disorientation, but you still needed a strong stomach for the rollercoaster sensation of flying through tight corners and labyrinth-like mine layouts.
Happy 30th, and thanks for the memories!
ilge retweeted
2/n We officially competed in the online AI track of the IOI, where we scored higher than all but 5 (of 330) human participants and placed first among AI participants. We had the same 5 hour time limit and 50 submission limit as human participants. Like the human contestants, our system competed *without* internet or RAG, and just access to a basic terminal tool.
ilge retweeted
Another one. Already a powerful painting, but moving around it yourself gives a totally different feeling.
Jacques Louis David's "The Death of Socrates" => #Genie3
It’s a good day!
We released two open-weight reasoning models—gpt-oss-120b and gpt-oss-20b—under an Apache 2.0 license.
Developed with open-source community feedback, these models deliver meaningful advancements in both reasoning capabilities & safety.
openai.com/index/introducing…
ilge retweeted
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
ilge retweeted
Watching the model solve these IMO problems and achieve gold-level performance was magical. A few thoughts 🧵
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
Congrats, @isafulf , @EdwardSun0909 and the whole team behind this launch! 🚀
Truly a new era in the space of agentic products.
ilge retweeted
OpenAI o3-mini is now available in ChatGPT and the API.
Pro users will have unlimited access to o3-mini and Plus & Team users will have triple the rate limits (vs o1-mini).
Free users can try o3-mini in ChatGPT by selecting the Reason button under the message composer.
ilge retweeted
Epoch AI are going to publish more details, but on the OpenAI side for those interested: we did not use FrontierMath data to guide the development of o1 or o3, at all. (1/n)
ilge retweeted
don’t miss this part of today’s 12th Day of OpenAI: “Deliberative Alignment,” exciting work by the illustrious @MelodyGuan et al!
the technique achieves a Pareto improvement over previous approaches such as RLHF, and reduces overrefusals!
openai.com/index/deliberativ…
ilge retweeted
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute mode (thousands of $ per task). It's very expensive, but it's not just brute -- these capabilities are new territory and they demand serious scientific attention.


















