We publish papers, evaluations, and datasets. Our goal is to make AI systems more useful, understandable, and safe.
Models that show their work: controllable chains of thought, self-critique, and step-by-step verification.
Vision, audio, and video integrated — a single model understands and generates in any modality.
Systems that plan, use tools, and verify their own work.
Make systems do what we expect, explain why, and evaluate themselves in public.
“The interesting part isn't that the model thinks more — it's that we know when it isn't thinking enough.”