蚂蚁发了14B的世界模型LingBot-World-Infinity，能生成60分钟视频模拟20个场景，用MoBA注意力解决长时间漂移。不过目前只开放了检查点，没有完整代码。
蚂蚁集团Robbyant团队发布LingBot-World-Infinity（LingBot-World 2.0），一个14B参数因果视频生成模型，用作交互式世界模拟器。核心创新包括混合双向自回归（MoBA）注意力机制和分布匹配蒸馏，解决长程漂移导致的纹理模糊和几何变形。报告展示单个60分钟不间断会话涵盖20个场景。但发布内容仅包含一个检查点、480P参考脚本，无部署代码和定量基准，且采用非商业许可CC BY-NC-SA 4.0。
Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
Robbyant, Ant Group's embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a 14B causal video generation model that behaves as an interactive world simulator. The core idea is the Mixture of Bidirectional and Autoregressive (MoBA) attention mask, paired with distribution matching distillation applied over long self-rollout trajectories. Together they target long-horizon drift, the failure mode that smears textures and warps geometry in most interactive world models. A Director-Pilot agentic harness wraps the generator, where a VLM proposes events and the Diffusion Transformer renders them. The report shows a single 60-minute uninterrupted session covering 20 scenarios. But the release is thinner than the paper: one checkpoint, a 480P reference script, no deployment code, no quantitative benchmarks, and a non-commercial CC BY-NC-SA 4.0 license. The post Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness appeared first on MarkTechPost .