Research @openai. Prev. @metaai @nuro @stanford @thielfellowship. Co-created @gradientpub
San Francisco, CA
Joined July 2023
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Quite excited to ship GPT-6 Sol and Luna and push the intelligence-cost curve further!
At ~half the price of 5.6 Sol and Luna these models can enable more workloads while improving cost per task.
The team has been working hard to make GPT-6 Astra the best model for frontend and agentic coding. Please try it out and share what you think!
Real-world results are in. There is a new #1 on Code Arena - GPT-6 Astra (Max)!
It also reshapes the Pareto frontier as the best-performing model at $40/Mtoken, which matches the latest Claude model pricing.
GPT-6 Astra by @OpenAI takes the top spot in Code Arena: WebDev with a score of 1797 pts. This opens up a solid +35pt lead over #2 Claude Fable 5.1 (Max) at 1762 pts and #3 Claude Opus 5 (Max) at 1688 pts.
This is a significant improvement from GPT-5.6 Sol (xHigh) at +180 pts, ranked at #13.
Category level votes still incoming, but already we see it at #1 in: Data & Analytics, Consumer Product, Content Creation Tools and #2 in Gaming and Simulations.
Stay tuned for other categories like Brand & Marketing, Reference-Based Design and Full Stack rankings.
Congrats to the @OpenAI team on this release!
Adi Ganesh retweeted
In Astra, we made significant progress on subjective domains like design aesthetics and knowledge work. It’s been a blast developing new methods for training on non-verifiable domains. Excited for this line of work and what’s coming next. Go try out Astra when you can! :)
Adi Ganesh retweeted
GPT-6 Astra has launched! 6 Astra is a truly incredible model - much more capable, aligned and efficient.
Very excited for everyone to try it out!
Adi Ganesh retweeted
Every few months, we take another leap that would have sounded ridiculous a year ago.
What one person can build now is truly just bottlenecked by their imagination.
GPT-6-Astra is here and I am very curious to see what you do with it and hear feedback on how we can improve it!
Astra is our best model yet, but we’re working hard on improving future models! Would love feedback on what to make better.
💫 Astra is out
Highlights:
- Much smarter (evals are really saturating...)
- Much more aligned & trustworthy
- Better CUA (see this house Astra made in Blender)
So proud of the team for training it!
Still some issues:
- Too much code slop
- Astra asks for confirmation too often, which can feel lazy. Given how smart it is, we wanted it to be cautious, but likely overcorrected.
We’ll fix those next! What else should we fix?
Note: Astra follows instructions even more carefully than 5.6, including unwanted ones buried in old skills. I’d clean those up before using it.
openai.com/index/gpt-6-astra…
Very excited to ship GPT-6 Astra! Was a pleasure working on this with the team. It’s a significant gain in capabilities and the best model for ambitious tasks.
openai.com/index/gpt-6-astra…
Adi Ganesh retweeted
@MicahCarroll is one of the sharpest people I’ve ever worked with (and there are a lot of sharp people at OpenAI). His team is doing critical research on monitoring and loss-of-control risks in an era of rapidly advancing capabilities. Consider joining.
We are hiring!
This may be the best time ever to join: we are incredibly bandwidth bottlenecked and there is a lot of support for almost any impactful misalignment work you can think of. I think we also have a pretty good epistemic environment and a very fun team
Topics: all-things monitoring, misalignment & monitorability assessments, misalignment science, helping set up 3P auditing (e.g. recent Redwood collab), communicating risk externally (system cards/blogs, safety cases, etc)
RSI/misalignment subteam: openai.com/careers/researche…
Adi Ganesh retweeted
yes, nonsofic groups exist: this statement is one of many new beautiful results proved by Astra, our next major model.
We're releasing 10 such Astra proofs, complete with lean certificates and CoT walkthroughs for each of them. The results are wide-ranging, from von Neumann algebras (disproof of Connes' Rigidity Conjecture) to better bounds for high dimensional sphere packing, for circuit complexity, for monochromatic triangles in multicolored graphs, and more.
More thoughts here: openai.com/index/ten-advance…
Adi Ganesh retweeted
I’m incredibly excited to welcome Jacob Tsimerman to OpenAI! His mathematical talent is clearly extraordinary, but so is the seriousness and depth with which he engages on AI safety.
Adi Ganesh retweeted
If you've been relying on skills or special prompt tricks to make frontends with 5.5, I recommend trying 5.6-sol without them. The default behavior should be quite good.
Exciting news: @OpenAI’s GPT-5.6-sol is now joint #1 in the Code Arena: Frontend, matching Claude Fable 5!
This marks the first time an OpenAI model has reached the top spot in Code Arena, demonstrating major gains in agentic coding, frontend and web app development.
Highlights:
- Significant improvement from GPT-5.5-xhigh (#18 -> #1)
- #1 in Data & Analytics, Brand Marketing, Consumer product, and Gaming
- Priced at $5/$30 per million input/output tokens - roughly 2× cheaper than Claude Fable 5
Huge congrats to the @OpenAI team for this incredible milestone!
Adi Ganesh retweeted
Yesterday, we made GPT-5.6 Sol Ultra generally available. Today, we're sharing that it produced a proof of the 50-year-old Cycle Double Cover Conjecture using 64 subagents in just under one hour. We're sharing the prompt and proof below. We're excited to see what you all do with Ultra!