推进开源世界模型发展

Advancing Open-source World Models

January 28, 2026

作者: Robbyant Team, Zelin Gao, Qiuyu Wang, Yanhong Zeng, Jiapeng Zhu, Ka Leong Cheng, Yixuan Li, Hanlin Wang, Yinghao Xu, Shuailei Ma, Yihang Chen, Jie Liu, Yansong Cheng, Yao Yao, Jiayi Zhu, Yihao Meng, Kecheng Zheng, Qingyan Bai, Jingye Chen, Zehong Shen, Yue Yu, Xing Zhu, Yujun Shen, Hao Ouyang

cs.AI

摘要

我们推出LingBot-World——一款基于视频生成技术开发的开源世界模拟器。作为顶级世界模型，LingBot-World具备以下核心特性：（1）在包括写实场景、科学情境、卡通风格等广泛环境中保持高保真度与强健的动态表现；（2）实现分钟级长时程模拟的同时保持跨时间维度的上下文连贯性，即具备"长时记忆"能力；（3）支持实时交互，在以每秒16帧生成时延迟低于1秒。我们公开代码与模型参数，旨在缩小开源与闭源技术之间的差距。相信本次发布将赋能内容创作、游戏开发、机器人学习等领域的实际应用。

English

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as "long-term memory". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public access to the code and model in an effort to narrow the divide between open-source and closed-source technologies. We believe our release will empower the community with practical applications across areas like content creation, gaming, and robot learning.