AI世界不再只能看，能边玩边改剧情了
以前AI生成的游戏世界，你只能看，不能碰。现在有个叫Zing-0.5的模型，让你能一边用键盘控制角色走动，一边打字改变正在发生的事——比如正走着，输入一句指令，剧情就当场拐弯，不用重新生成。它把键盘操作和文字指令揉进同一条生成流程，还靠分段蒸馏让画面一帧帧续上，不卡顿。跑在832×480分辨率下每秒24帧，租服务器玩一分钟成本不到一分钱。模型和代码都开源了。这不是明天就能玩的成品游戏，但它是“可玩世界”从演示走向真实的第一步。
📄 原文摘要(英文)
We introduce Zing-0.5, a 5B autoregressive world model designed for playability: users can explore generated worlds, influence unfolding events, and respond to the resulting feedback through joint keyboard and online text control. Our approach brings together three technical contributions: (1) Unified action and text conditioning, combining magnitude-aware keyboard inputs with temporally aligned text instructions and jointly annotated videos to learn navigation and event control within the same sequence; (2) Event-scale supervision for incremental generation, using a segment-level teacher trained on connected multi-prompt videos to supervise a block-level causal student through distribution-matching distillation; and (3) Low-cost real-time interaction, combining four-step generation with context-preserving streaming to support 832 x 480 inference at 24 FPS at an estimated server rental cost of approximately USD 0.009 per stream-minute. Zing-0.5 achieves an overall score of 81.0 and a consistency score of 88.5 across 158 WBench Navigation cases. A joint-control demonstration shows a text-directed event change during continued navigation without restarting generation. We release the model weights, inference code, and Zing-SGLang serving implementation to support further work on playable generated worlds.