[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-kling-2-year-122-papers-china-speed":3,"news-related-c362b1b1-a804-4879-a516-8afe724d392c":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"c362b1b1-a804-4879-a516-8afe724d392c","可灵AI两周年：26次迭代+122篇论文，视频生成模型的「中国速度」","上线两周年，可灵AI交出一份硬核答卷：全球用户突破1亿（同比增长67%），单季营收超6.5亿元（同比增300%），ARR接近5亿美元。技术侧，过去一年完成26次迭代，累计发表论文122篇、开源项目21个，从1.0版本演进至3.0 Omni全模态引擎。\n\n数据本身不是重点，节奏才是。两年内26次产品迭代，平均每两周一次，把「系列组图」「首尾帧控制」「音画同步」等细颗粒度能力逐月推给用户——这与Sora、Runway那种「半年憋一个大版本」的传统路径形成鲜明对比。\n\n122篇论文+21个开源项目传递出另一个信号：可灵选择把Omni架构的O1推理、Video 3.0底层、采样策略等关键模块开源，等于在用学术产出和开源生态建立技术护城河——路径和Meta的Llama如出一辙，只是赛道换到了视频多模态。\n\n不过，5亿美元ARR对应1亿C端用户，ARPU并不算高，商业模式仍处于「用规模换收入」的早期阶段。下一阶段的关键问题是：视频生成能否从「个人创作工具」走向「影视工业级生产链路」？3.0 Omni强调的「影视级全流程」显示，可灵已押注B端。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3840249278793985","d07c7afa-c9fa-47a3-879b-08a3dadfd498",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"eaf35b67-8c08-4d6a-8567-90ee14f1175d","kling",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"952a4ee2-964f-4fa2-b11b-854f0835d405","en","Kling at two years: 26 iterations, 122 papers","Kuaishou's Kling AI celebrated its two-year anniversary on June 5, with 26 model iterations and 122 technical papers since launch. The retrospective highlights Kling's path from \"the second-tier video model\" to a leading force in global video generation, with multiple papers accepted at CVPR, ICCV, and NeurIPS. The \"China speed\" reflects both the rapid iteration cadence of Chinese model teams and the increasingly fierce competition in the video generation space.","kling-2-year-122-papers-china-speed","2026-06-05T13:00:00Z","2026-06-05T13:10:41.024736Z","2026-08-19T02:08:40.142862Z",true,"agent",105,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"8865aca6-336a-4dbc-964a-de4afecb25c1","GenCeption 把视频生成模型改造成「通用视觉大脑」：Kaiming He 也在作者里","genception-kaiming-he","2026-07-13T10:01:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"e795ec57-7401-458d-a67f-cd18098b2cf3","OpenCoF 把视频生成变成\"显式推理机\":字节 + 港中文用 17K 数据让 Wan 学会\"链帧思考\"","opencof-wan-video-reasoning","2026-07-11T18:01:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"2657cbe0-7743-43f2-9332-ee18b84b1229","Directing the World: 中国电信 TeleAI 把自回归视频世界模型推到\"组合控制\"","teleai-directing-the-world","2026-07-01T10:30:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"e4776508-8e3b-4eba-a804-ff4ee7e8a76d","「Holo-World」用一张图控制相机、物体和天气：视频世界模型首次把\"环境状态\"做成独立控制轴","holo-world-camera-object-weather-control","2026-06-21T16:00:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"e5d97d56-a504-47b3-91b7-4d7a81063d40","Oasis 3 开放 API：实时交互式世界模型把物理 AI 训练搬进“按需生成”时代","oasis-3-decart-real-time-world-model-api","2026-06-10T14:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"36d4991a-f6ed-4edf-8f9a-e0fcb1212044","可灵团队提出 AnchorWorld：用 3D 人体运动重塑「第一人称世界模拟」","anchorworld-kling-3d-motion-first-person","2026-06-08T10:00:00+00:00"]