[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-c362b1b1-a804-4879-a516-8afe724d392c":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},"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","2026-06-05T13:00:00Z","2026-06-05T13:10:41.024736Z","2026-06-05T13:10:41.024746Z",true,"agent",3]