ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU
Authors: name: Fan Jiang, name: Zhaoxu Sun, name: Mengchao Wang, name: Ziyu Zhu, name: Chiyu Wang, name: Yunpeng Zhang, name: Wenlin Liu, name: Yun Wang, name: Xue Zheng, name: Rui Sun, name: Junfeng Ni, name: Hongyu Pan, name: Zhongxu Sun, name: Fei Yu, name: Zengye Ge, name: Mengmeng Du, name: Nianfei Fan, name: Mingchao Sun, name: Yu Liu, name: Yongchang, name: Yanqing Zhu, name: Jiahang Wang, name: Ning Ying, name: Yuze Xuan, name: Di Yang, name: Zhicheng Liu, name: Zhe Gao, name: Tingbing Xu, name: Jiacheng Sui, name: Wenjin Yang, name: Junnan Lai, name: Shufeng Liu, name: Yuan Liu, name: Zheng Zhou, name: Yingliang Peng, name: Dawei Cao, name: Kaifeng Sheng, name: Yuxiang Cai, name: Fei Lu, name: Mu Xu, name: Ning Guo
Organization: Alibaba AMAP CV Lab

We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction, supported by a multi-source data infrastructure spanning AAA games, simulation engines, and internet videos to learn controllable world dynamics. WorldExplorer performs agent-driven collection guided by training feedback, while a unified pipeline applies 14 deterministic quality checks, VLM-based assessment, and synchronized action and text annotation. We progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduce LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift. Raw keyboard actions provide a unified control interface for scene roaming and third-person character interaction, while reference-character memory provides persistent appearance cues for identity consistency during third-person rollouts. For deployment, we co-design a streaming inference stack with a lightweight VAE decoder, efficient attention, memory-aware scheduling, and low-bit DiT inference. Across optimized low-bit configurations, ABot-World-0 streams 720P video at up to 16 FPS on a single NVIDIA RTX 5090 desktop GPU, with 1.2s action-to-first-frame latency and approximately 19GiB peak VRAM. Experiments on WorldRoamBench and extended interactive rollouts demonstrate competitive controllability and coherent long-horizon world evolution.