摘要：
我们引入Cosmos 3，一个全模态世界模型家族，模型设计在一个统一的MoT(Mixture-of-Transformers)架构中，联合处理和生成语言、图像、视频、音频以及行动序列。通过支持高柔性的输入输出配置，Cosmos 3无缝的统一了物理 AI的关键模态，在一个单一框架中包含了视觉语言模型，视频生成模型，世界仿真器，和世界行动模型。
Our evaluation demonstrates that Cosmos 3 establishes
a new state-of-the-art across a diverse suite of understanding and generation tasks, demonstrating
omnimodal world models as scalable, general-purpose backbones for embodied agents. Our post-trained
Cosmos 3 models were ranked as the best open-source Text-to-Image and Image-to-Video models by Artificial
Analysis, and the best policy model by RoboArena at the time the technical report was written. To
accelerate open research and deployment in Physical AI, we make our code, model checkpoints, curated
synthetic datasets, and evaluation benchmark available under the Linux Foundation's OpenMDW-1.1
License at github.com/nvidia/cosmos and huggingface.co/collections/nvidia/cosmos3 . The project
website is available at research.nvidia.com/labs/cosmos-lab/cosmos3 .