UC Berkeley and NVIDIA introduce AW-0, a Mixture-of-Transformers agentic world model that jointly generates code plans, video predictions, and 64-DoF action chunks, achieving 50.7% average success on RoboTwin 2.0 and 71.1% on real dual-arm and dexterous-hand robots.
SenseNova-U1.5 introduces an 8B MoT unified multimodal architecture that natively integrates understanding, generation, and editing via spatial joint reconstruction and a staged training strategy, achieving state-of-the-art results on Qwen-Image-Bench, GenEval, CVTG-2K, ImgEdit, and OpenING while maintaining strong language understanding.
Cosmos 3 is Nvidia's open‑source omnimodal world model for Physical AI that unifies vision, language, video, audio and action into a single Mixture‑of‑Transformers architecture, achieving top open‑source scores on perception, reasoning and generation benchmarks while offering Nano and Super variants and a full suite of synthetic datasets and tools.
