With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
Google launched on Tuesday Gemini 3.5 Flash, a new AI model that the company says is its strongest yet for coding and autonomous AI agents. The model, which was introduced at the company’s annual Google I/O developer conference, can independently execute coding pipelines, manage research projects, and, in internal tests, build an operating system entirely from scratch.
谷歌于周二发布了 Gemini 3.5 Flash，这是该公司迄今为止在编程和自主 AI 智能体方面最强大的 AI 模型。该模型在公司年度 Google I/O 开发者大会上亮相，能够独立执行代码流水线、管理研究项目，并在内部测试中从零开始构建了一个操作系统。
The release signals Google’s shift from pitching AI as a conversational tool to AI as an agentic tool. It’s not just answering questions, but planning, building, and iterating on real work with minimal human input.
此次发布标志着谷歌的战略重心从将 AI 定位为对话工具，转向了将其定位为智能体（Agentic）工具。它不再仅仅是回答问题，而是在极少的人工干预下进行规划、构建并迭代实际工作。
Koray Kavukcuoglu, DeepMind’s chief technologist, told reporters on Monday ahead of the public launch: “3.5 Flash offers an incredible combination of quality and low latency. It outperforms our latest frontier model, 3.1 Pro, on nearly all the benchmarks,” including coding, agentic tasks, and multimodal reasoning.
DeepMind 首席技术官 Koray Kavukcuoglu 在周一发布会前对记者表示：“3.5 Flash 提供了质量与低延迟的完美结合。它在几乎所有基准测试中都优于我们最新的前沿模型 3.1 Pro，”包括编程、智能体任务和多模态推理。
He added that it is 4x faster than other frontier models, a speed that’s ideal for coding and agentic tasks, but that Google has “taken it to another level” by developing an optimized version of Flash that’s 12x faster with the same quality. That speed is central to Flash’s design for agentic work, where multiple AI agents run at the same time on long-running tasks, according to Kavukcuoglu.
他补充说，该模型比其他前沿模型快 4 倍，这种速度非常适合编程和智能体任务。但谷歌通过开发 Flash 的优化版本，将其速度提升到了“另一个水平”，在保持相同质量的前提下速度提升了 12 倍。Kavukcuoglu 表示，这种速度是 Flash 智能体工作设计的核心，因为多个 AI 智能体需要同时运行长时间的任务。
Onstage at I/O, Google engineer Varun Mohan, demonstrated agents spawning off to work on separate components before coming together to build a full operating system inside Antigravity, the company’s agentic development platform and IDE.
在 I/O 大会的舞台上，谷歌工程师 Varun Mohan 演示了多个智能体如何分头处理不同的组件，最终在公司的智能体开发平台及集成开发环境（IDE）Antigravity 中协同构建出一个完整的操作系统。
Kavukcuoglu said Flash 3.5 was co-developed with Antigravity so that agents could have a “native environment where they can live, work, and execute.” At I/O, Google released Antigravity 2.0, a stand-alone desktop application designed around agent-first development.
Kavukcuoglu 表示，Flash 3.5 是与 Antigravity 共同开发的，旨在为智能体提供一个“它们可以生存、工作和执行任务的原生环境”。在 I/O 大会上，谷歌发布了 Antigravity 2.0，这是一款围绕“智能体优先”开发理念设计的独立桌面应用程序。
The gains are showing up beyond demos. Google says 3.5 Flash’s agentic capabilities are already creating impact among partners, like banks and fintechs automating multi-week workflows, or data science teams finding insights in complex data environments.
这些进步不仅仅体现在演示中。谷歌表示，3.5 Flash 的智能体能力已经在合作伙伴中产生了影响，例如银行和金融科技公司利用它自动化处理长达数周的工作流程，或者数据科学团队在复杂的数据环境中挖掘洞察。
The model can run autonomously for multiple hours, though Tulsee Doshi, Google’s senior director and head of product, said it will at times pause and ask for user input when it hits a decision point or permission issue that requires human judgment.
该模型可以自主运行数小时，不过谷歌高级总监兼产品负责人 Tulsee Doshi 表示，当模型遇到需要人类判断的决策点或权限问题时，它有时会暂停并请求用户输入。
When Google releases its forthcoming 3.5 Pro model, the two are designed to work in tandem. Doshi told TechCrunch that “3.5 Pro becomes your orchestrator, your planner, and then it actually can leverage Flash to be the various sub-agents. I think it really comes down to where do you really want that reasoning power, where you actually want that larger model that can really push on the reasoning side versus where do you have tasks that really do merit good brute force tool use capabilities?”
当谷歌发布即将推出的 3.5 Pro 模型时，这两者将被设计为协同工作。Doshi 对 TechCrunch 表示：“3.5 Pro 将成为你的协调者和规划者，然后它可以利用 Flash 作为各种子智能体。我认为这归根结底在于你真正需要推理能力的地方，即你是在需要大型模型进行深度推理的场景下使用，还是在那些确实需要强大工具使用能力的场景下使用？”
Now, 3.5 Flash is the default model in the Gemini app and in AI Mode in Search globally. At I/O, Google also announced agentic capabilities coming to Search, letting users create, customize, and manage AI agents directly on the platform. The new model will also power Gemini Spark, Google’s new personal AI agent designed to run 24/7 to help consumers manage their digital life.
目前，3.5 Flash 已成为全球 Gemini 应用和搜索中 AI 模式的默认模型。在 I/O 大会上，谷歌还宣布搜索功能将引入智能体能力，允许用户直接在平台上创建、自定义和管理 AI 智能体。新模型还将为 Gemini Spark 提供支持，这是谷歌全新的个人 AI 智能体，旨在 24/7 全天候运行，帮助消费者管理数字生活。
Providing that level of AI capability for average consumers comes with scrutiny. Google is currently facing a lawsuit after a man nearly committed a mass casualty event and died by suicide following weeks of chatting with Gemini last year. The implications for harm only grow when making powerful autonomous agents available more broadly.
为普通消费者提供这种水平的 AI 能力也伴随着审查。去年，一名男子在与 Gemini 聊天数周后几乎酿成大规模伤亡事件并自杀，谷歌目前正因此面临诉讼。当功能强大的自主智能体被更广泛地使用时，其潜在的危害性也会随之增加。
Google says Gemini 3.5 has strengthened cyber and CBRN (chemical, biological, radiological, and nuclear) safeguards and is better calibrated to engage with sensitive questions rather than refuse them outright.
谷歌表示，Gemini 3.5 加强了网络安全以及 CBRN（化学、生物、放射性和核）防护措施，并经过了更好的校准，能够处理敏感问题，而不是直接拒绝回答。
Gemini 3.5 Flash is available generally today via Antigravity, the Gemini API, and Gemini Enterprise, as well as through the Gemini app and AI mode in Search.
Gemini 3.5 Flash 即日起通过 Antigravity、Gemini API 和 Gemini Enterprise 全面开放，用户也可通过 Gemini 应用和搜索中的 AI 模式使用。