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2026-05-30 4 浏览 免费阅读

趋势解读:9 demos of Gemini Omni and Gemini 3.5,评估 LLM Agent 表现

Google I/O 2026发布Gemini Omni和Gemini 3.5模型,前者支持多模态视频生成与对话式编辑,后者增强代理工作流性能。9个演示展示了自然语言编辑视频、保持角色一致性等能力。

SOURCE / AI技能杠杆 MIN / 9 ACCESS / 免费阅读 POST / 2026-05-30 01:30:00

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作者:Zahra ThompsonContributorThe Keyword 来源站点:blog.google 原贴时间:

原文

With Gemini Omni, Gemini’s ability to reason meets the ability to create, while Gemini 3.5 is built to help you execute complex, agentic workflows. Your browser does not support the audio element. At Google I/O 2026 , we announced our latest models: Gemini Omni and the Gemini 3.5 family of models. Gemini Omni is our new model that can create anything from any input, starting with video. With Omni, you can combine images, audio, video and text as input and generate high-quality videos grounded in Gemini's real-world knowledge. You can also easily edit your videos through conversation. Then there’s Gemini 3.5, our latest family of models combining frontier intelligence with action. This represents a major leap forward in building more capable, intelligent agents. We’re kicking off the series by releasing 3.5 Flash. It delivers frontier performance for agents and coding, excelling at complex long-horizon tasks that deliver real-world utility. To give you a clearer understanding of Gemini Omni and Gemini 3.5 Flash, here are 9 demos of what they can help you do. Edit your videos through conversation. One capability that makes Omni special is that it gives you an easier way to edit video — with natural language. Every instruction builds on the last. Your characters stay consistent, the physics hold up and the scene remembers what came before. That means you can transform the world around you. Change specific things, or change everything. Your video becomes the starting point for something you never could have filmed yourself. Prompt: Make the sculpture out of bubbles. Reimagine the action. Take a video you shot and just ask Omni to change what’s happening. Edit the action, add in new characters or objects or transform a moment into something unexpected. Prompt: Dim the lights in the room. Put a black and white checkerboard room inside a glass sphere that floats tracking above the hand, inside it contains a recursive representation of the same hand holding the sphere, creating an infinite recursive of rooms. Camera slowly gets closer into the sphere, creating a video loop. Refine your videos across multiple turns. Change the environment, angle, style or even specific details, without ever losing the thread of your original scene. Scroll through the carousel to see how edits build on each other. Prompt: A video of a violinist playing a song.

中文翻译

随着Gemini Omni的发布,Gemini的推理能力与创造能力相结合,而Gemini 3.5旨在帮助你执行复杂的代理工作流。在2026年Google I/O大会上,我们宣布了最新模型:Gemini Omni和Gemini 3.5模型家族。

核心信息

Google I/O 2026发布Gemini Omni和Gemini 3.5模型,前者支持多模态视频生成与对话式编辑,后者增强代理工作流性能。9个演示展示了自然语言编辑视频、保持角色一致性等能力。

  • Gemini Omni实现多模态输入到视频生成
  • Gemini 3.5 Flash增强代理与编码能力
  • 自然语言对话式编辑视频,保持一致性
  • 支持多轮编辑,场景和角色记忆连贯
  • 发布9个演示展示实际应用效果

详细解读

这是什么信号?

Google将多模态理解与视频生成统一到一个模型(Omni),并推出强化代理能力的3.5系列,标志着AI从“生成内容”向“理解世界并执行复杂任务”的跃迁。

为什么重要?

以往视频生成工具缺乏对物理规则和上下文的保持,Omni通过对话式编辑实现角色、场景的一致性;3.5 Flash在长周期代理任务上的突破,使AI能自主完成多步骤工作流。

对谁有价值?

视频创作者:快速迭代创意,无需专业工具;开发者:构建复杂代理应用;企业:自动化视频生产与客户服务。

可以怎么行动?

尝试使用Omni的对话编辑功能,将现有视频素材转化为新内容;利用3.5 Flash搭建自动化工作流,如代码生成、数据管道处理。

风险或限制

视频编辑可能产生幻觉或不合理物理效果;代理模型在关键决策中仍需人工监督;成本与API调用限制需评估。

信息差价值

信息差价值:多数人认为AI视频生成仍处于独立工具阶段,但Omni将理解、生成、编辑融为一体,且保持物理一致性,这是技术拐点。提前了解可抢占内容创作红利。

业务启发:视频营销、教育内容可大幅降低成本——用户只需提供原始素材,通过对话即可获得专业级成品。代理工作流适合自动化客服、代码审查等场景,提升人效。

可沉淀动作:立即申请API访问,测试自身业务场景(如广告视频批量生成)。建立内部代理模板库,将重复任务标准化。关注3.5系列未来版本,规划智能体系统架构。

参考来源

AI SUMMARY

这篇文章回答了什么

趋势解读:9 demos of Gemini Omni and Gemini 3.5,评估 LLM Agent 表现主要讲什么?

Google I/O 2026发布Gemini Omni和Gemini 3.5模型,前者支持多模态视频生成与对话式编辑,后者增强代理工作流性能。9个演示展示了自然语言编辑视频、保持角色一致性等能力。

这篇文章最值得关注的要点是什么?

Google I/O 2026发布Gemini Omni和Gemini 3.5模型,前者支持多模态视频生成与对话式编辑,后者增强代理工作流性能。9个演示展示了自然语言编辑视频、保持角色一致性等能力。;Gemini Omni实现多模态输入到视频生成;Gemini 3.5 Flash增强代理与编码能力;自然语言对话式编辑视频,保持一致性

这篇文章和哪些AI专题相关?

它适合放在Agent工作流、AI工具、AI超级个体专题里阅读。 关联原因:这篇内容命中「Agent、工作流」等主题信号。;这篇内容命中「自动化、模型」等主题信号。;这篇内容命中「技能」等主题信号。

阅读这篇文章建议先理解哪些关键词?

建议先理解AI工具、工具、自动化、模型、Cursor这些关键词,再结合正文判断工具、机会或风险是否值得进入自己的工作流。

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