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无限世界与多变交互

Infinite Worlds with Versatile Interactions

July 8, 2026
作者: Zelin Gao, Qiuyu Wang, Jiapeng Zhu, Jingye Chen, Zichen Liu, Qingyan Bai, Jiahao Wang, Yufeng Yuan, Hanlin Wang, Yichong Lu, Ka Leong Cheng, Haojie Zhang, Jian Gao, Tianrui Feng, Yuzheng Liu, Yao Yao, Yinghao Xu, Xing Zhu, Yujun Shen, Hao Ouyang
cs.AI

摘要

我们提出了LingBot-World 2.0(亦称LingBot-World-Infinity),这是LingBot-World的高级迭代版本,包含四项显著升级。(1)我们的模型实现了无界交互时长,同时保持一致的输出质量,这得益于精心设计的因果预训练范式。(2)通过从基础模型中蒸馏出实时变体,我们的系统确保了快速响应时间,足以驱动60帧/秒的720p视频流。(3)与先前版本相比,本次更新引入了高度多样化的交互元素,包含更广泛的动作类型(例如攻击、射箭、施法和射击)以及更丰富的文本驱动事件。(4)我们开创性地将智能体驾驭整合到世界建模领域,其中飞行员智能体负责规划和执行角色行为,而导演智能体则负责在场景推进过程中合成新颖的环境元素。此外,为促进共享体验,我们开发了一个界面,允许多位玩家同时沉浸在这个生动的世界模拟器中。我们将主要的14B模型与轻量级1.3B模型配对,支持在单个GPU上轻松部署。
English
We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded interaction horizon while maintaining consistent output quality, benefiting from a carefully crafted causal pretraining paradigm. (2) Through distilling a real-time variant from the base model, our system guarantees rapid response time, sufficient to drive 720p video streams at 60 fps. (3) Compared to the previous version, this update introduces highly diverse interactive elements, comprising a broader spectrum of actions (e.g., attacking, archery, spell-casting, and shooting) alongside a richer variety of text-driven events. (4) We pioneer the integration of an agentic harness within the domain of world modeling, wherein a pilot agent is tasked with planning and executing character behaviors, while a director agent is responsible for synthesizing novel environmental elements as the scene progresses. Additionally, to facilitate a shared experience, we develop an interface that permits multiple players to simultaneously immerse themselves in this vivid world simulator. We pair our primary 14B model with a lightweight 1.3B counterpart, which supports effortless deployment on a single GPU.