中国团队搞了个Orca世界模型，不用学动作标签就能看懂视频里的世界，在五个机器人任务上跟专业π0.5打平，厉害。
北京人工智能研究院发布Orca世界模型，它预测抽象世界状态而非token或像素。该模型在125,000小时视频上训练，未使用任何动作标签。在五个机器人任务上，Orca的表现与专用π0.5模型相当。这项研究可能有助于缓解机器人领域长期面临的数据短缺问题。
China's Orca world model matches specialized robotics systems without ever seeing a single action label
The Beijing Academy of Artificial Intelligence has released Orca, a world model that predicts abstract world states instead of tokens or pixels. Trained on 125,000 hours of video without a single action label, Orca matches the specialized π0.5 on five robotics tasks and could help ease the field's chronic data shortage. The article China's Orca world model matches specialized robotics systems without ever seeing a single action label appeared first on The Decoder .