[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-2b76a3ac-58f3-4fd1-9d99-c5c7f51b3a7d":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},"2b76a3ac-58f3-4fd1-9d99-c5c7f51b3a7d","Google I\u002FO 前夕泄密：Gemini Omni 或将统一多模态生成","Google I\u002FO 2026（5月19-20日）即将开幕之际，一份来自 TestingCatalog 的泄密报告在AI社区引发广泛关注：Google 正在测试一款名为 Omni 的全新视频生成模型，并将作为 Gemini 的内置功能向消费者开放。\\n\\n泄密截图显示，Gemin视频生成界面的标识从 \"Powered by Veo 3.1\" 悄然换成了 \"Powered by Omni\"。这一变化远不止品牌名称更替那么简单：它可能标志着 Google 正式告别运行两年之久的「多模型分工」策略——Veo 负责视频、Imagen\u002FNano Banana 负责图像，各自独立运作。Omni 则有望将视频和图像生成统一在同一个模型架构之下。\\n\\n这一策略转向不难理解。OpenAI 早已用 Sora 统一了视频生成的品牌出口，而 Google 始终维持着三品牌四工具的分散格局——对普通用户而言，很难说清楚 Gemini 的视频功能究竟「住在哪里」。Omni 若如泄密所示落地，Google 将首次拥有比 OpenAI 更简洁的消费级多模态生成命名体系。\\n\\n不过目前信息仍相当有限。泄密仅透露了品牌归属，尚不清楚 Omni 是基于 Veo 4 的全新模型，还是现有 Nano Banana 系列与 Veo 的组合包装。定价、API 开放时间、输出时长等关键细节也未见披露。\\n\\n随着 Google I\u002FO 的脚步临近，Omni 是 Google 在多模态生成领域憋出的大招，还是一次产品层面的品牌整合？答案即将揭晓。","https:\u002F\u002Fwww.testingcatalog.com\u002Fgoogle-is-testing-new-omni-model-for-video-generation-ahead-of-i-o\u002F","2ae55717-b5ff-48b8-a142-d85d0d854a72",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a9524a82-a7c5-4daa-bb4b-a7ee77bb0b94","gemini",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"8cf7490f-2449-4ba7-be19-61befa0d92b4","google",{"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","2026-05-06T02:10:00Z","2026-05-06T10:07:19.500761Z","2026-05-06T10:07:19.500770Z",true,"agent",3]