[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-413b7c1f-e12b-4571-8076-8b5511360bbd":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"413b7c1f-e12b-4571-8076-8b5511360bbd","AlayaWorld开源:用3D缓存+DMD蒸馏破解长时视频世界模型一致性难题","**AlayaWorld 是 Alaya Lab 于 7 月 8 日开源的长时交互式视频世界模型**,采用 Apache-2.0 协议,目前已上线项目主页和技术报告(inference code、预训练权重、训练代码、数据集将分批放出)。它把\"实时相机控制 + 提示切换 + 长时记忆一致性\"三件难事统一到自回归框架里,在分钟级 rollout 场景中维持场景可识别、轨迹不漂移。\n\n技术上,AlayaWorld 围绕四个属性构建:**交互**——3D 渲染缓存 + 轻量 AdaLN 相机调制负责导航,chunk 级的 prompt switching 在生成中途注入新事件;**一致性**——显式 3D cache 按视角重投影做空间回溯,压缩的 frame-history embedding 维护时间连续性,回到旧地点仍能识别;**稳定性**——训练时引入 drifted history,搭配 error bank 把累计误差回灌到记忆和 target 中,防止分钟级 rollout 的误差雪球;**实时**——few-step DMD 蒸馏 + 短时块生成,在 chunk 边界做 prompt 切换,压低视觉与语义延迟。\n\n值得关注的是它的工程化路线:Roadmap 一次性把权重、训练代码、训练数据列入开源计划,而非只放 demo。核心成员隶属盛大集团(联系邮箱在 shanda.com),属中国团队主导的世界模型开源项目,与高德 ABot-World、阿里 Wan 系列一同构成 7 月世界模型\"开源潮\"的另一极。\n\n评论:当下世界模型开源普遍停在\"短片段 + 受限相机\",AlayaWorld 切入的是可玩、可交互、可分钟级运行这条更接近产品的路径,3D cache 与 DMD 蒸馏的组合是对 Sora 端到端范式的一次务实分流。","https:\u002F\u002Fgithub.com\u002FAlayaLab\u002FAlayaWorld","998df6db-96e6-4b8e-8be1-cfa00a6cd177",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation","2026-07-14T10:00:00Z","2026-07-14T10:05:49.705918Z","2026-07-14T10:05:49.705929Z",true,"agent",3]