游戏世界可以实时生成了，不用再手动搭建
传统游戏开发需要手动搭建每个场景、每段剧情，成本高且难以修改。AlayaWorld 提出了一种新范式：用视频世界模型自动生成可交互的游戏世界。它基于当前世界状态和用户操作，逐帧合成后续画面，支持玩家自由探索、战斗、施法甚至召唤怪物。框架开源，包含从数据到部署的全套工具。虽然目前生成质量还比不上手工制作，但它意味着未来游戏可能不再是“做出来”的，而是“长出来”的——你玩到哪里，世界就生成到哪里。
📄 原文摘要(英文)
Game worlds have traditionally been built through labor-intensive production pipelines, making them costly to develop, difficult to customization, and expensive to modify after deployment. Recent advances in video world models offer a fundamentally different paradigm. Rather than explicitly authoring every component of a virtual environment, these models autoregressively synthesize future observations conditioned on the current world state and user interactions, enabling playable worlds to be generated online. Trained on both gameplay recordings and real-world videos, they can capture diverse visual appearances and physical dynamics, opening new opportunities for interactive applications beyond gaming, including embodied intelligence. In this paper, we present AlayaWorld, a full-stack open-source framework for building interactive generative worlds. AlayaWorld enables open-ended real-time interaction, allowing users to freely navigate and perform diverse actions such as combat, spell casting, and monster summoning. The framework unifies the complete development-from data preparation model architecture, model training, inference acceleration, and deployment-within a modular and extensible architecture. Alongside the framework, we release reproducible pipelines, reference implementations, evaluation tools, and comprehensive documentation, establishing a practical foundation for future research and real-time applications of generative world models.