Proving BFSS has a unique groundstate is really something (especially to us here at UT, home of F). But what are these extra finite energy boundstates doing at N=2?
Many great results from OpenAI. Congratulations!
This one in particular is very close to my heart. A decade or so ago, with collaborators, I have published a physics-oriented proof of it.
https://t.co/fzOQHGe8z2
Congratulations to the students who competed at the International Mathematical Olympiad (IMO) 2026. 👏
We put Nemotron 3 Ultra to the test to take on the same problems in the same time limit, with no internet or external tools.
The IMO team graded its solutions 30/42, above the 29-point gold threshold. 🥇
Today we're shipping Nemotron 3 Ultra.
A 550B MoE frontier-intelligence open model built for long-running agents.
It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
Nvidia is the tip of the spear for the growing US open model efforts.
Is a long time coming, but obvious when a 550B model drops that more people will take notice.
Many people won’t realize the valuable training data they release too.
[1/5]
We thank the community for their feedback on Rnj-1. We’d like to announce a few updates to Rnj-1-instruct based on what we heard:
- Resolving premature truncation of generations and improved instruction following.
- Instructions for 128k context length extrapolation.
- Updated evals, baselines, and model generations for reproducibility.
Details follow 🧵
.@essential_ai's rnj-1 model is now on Ollama!
ollama run rnj-1
8B parameter, open-weight dense model trained from scratch. The model is optimized for code and STEM with capabilities on par with other state of the art open-weight models.
Let's go! 🚀🚀🚀
Benchmark performance tends to get the bulk of attention with AI model releases, but there a few cool underdiscussed gems about Rnj-1:
- We trained the 8B models directly *from scratch*, not by training and distilling a larger model to a smaller one.
- Post-training for Rnj-1 Instruct was light, i.e., it involved simple SFT but no RL, DPO, etc.
- Our infra team worked out a lot of infra challenges to make our unified JAX training framework work seamlessly across disparate hardware platforms: both AMD GPUs and TPUs.
📢 New Model Drop: Rnj-1 Instruct is now live on Yupp!
The first flagship model from @essential_ai, this open-source model is built to excel at math problem-solving and scientific reasoning.
We checked it out with some prompts: