推進開源世界模型的發展

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

我們推出 LingBot-World，這是一款基於影片生成技術開發的開源世界模擬器。作為頂級世界模型，LingBot-World 具備以下特性：(1) 在廣泛環境中（包括現實場景、科學情境、卡通風格等）保持高擬真度與強健動態表現；(2) 實現分鐘級時長模擬的同時維持跨時間的上下文一致性，即具備「長期記憶」能力；(3) 支援即時互動，在以每秒16幀生成時延遲低於1秒。我們公開程式碼與模型，旨在縮小開源與閉源技術之間的差距。相信本次發布將為內容創作、遊戲開發、機器人學習等領域的實際應用注入創新動能。

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.