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Google Antigravity SDK 引入本地 AI 模型支持，赋能端云混合智能体架构

Google Antigravity SDK 现已支持本地 AI 模型，允许开发者通过 LiteRT 离线运行基于 Gemma 4 26B A4B 等模型的智能体工作流。此项更新支持端云混合编排架构：由云端模型充当轻量规划器，本地模型在端侧安全处理代码审计等高消耗任务。此外，SDK 还无缝兼容 Ollama 和 vLLM 等 OpenAI 兼容推理服务，助力构建注重隐私且低成本的自主本地工具。

Google Colab 现已纳入 Google AI 订阅计划

Google Colab 正式整合进 Google AI 订阅方案中。订阅用户现可直接解锁 Colab 的高级计算资源，获得优先使用的计算加速器、高端 GPU 以及支持长时间模型训练的后台执行功能。该调整进一步打通了 Google 的 AI 订阅权益与开发工具链，方便开发者与研究人员更高效地开展深度学习与模型训练工作。

Google 发布 Kotlin 版智能体开发套件 ADK 1.0

Google 正式推出 Agent Development Kit (ADK) for Kotlin 1.0，全面对齐 Python 和 Java 版本核心功能。该框架基于 Kotlin Multiplatform 构建，借助 KSP 实现零反射的类型安全函数调用，支持多智能体协同、人机交互工作流和上下文压缩。此外，该版本专门为 Android 提供了扩展支持，开发者可借助 LiteRT-LM 集成本地端侧模型，或通过 Firebase AI 实现云端推理与会话管理。

Google AI Agent 挑战赛顶尖作品背后的 4 大工程架构模式

Google for Startups AI Agent 挑战赛的获胜作品表明，高效的多智能体系统更依赖成熟的软件工程模式而非单纯的基础模型能力。优秀架构普遍采用了四大关键实践：用于智能体无缝通信的双向 MCP、实现并行执行的异步事件总线、用于模型降级回退的严格统一验证，以及削减高昂推理成本的分层路由策略。相比简单线性提示链，采用这些架构可构建出更高韧性、低延迟且具成本效益的工作流。

Agent Plugins 1.0.0 发布：科技巨头联手推跨平台 Agent 技能与 MCP 打包规范

Agent Plugins 1.0.0 正式发布，这是一个由 Google、Amazon、Microsoft 等科技巨头联合支持的中立厂商目录规范。该规范通过标准化的清单文件（plugin.json）和固定目录结构，将 Agent Skills 与 MCP 服务器打包为统一便携单元，免去了开发者为适配不同 AI 编程 Agent 和 IDE 重复封装的麻烦。Google 已作为核心维护者加入并在其 Agents CLI 等工具中率先提供支持。

Google 测试让 Gemini 代用户致电商家

据 TechCrunch 报道，Google 正在测试由 Gemini 代用户给商家打电话的功能。Google 表示，该功能将首先向美国拥有 Gemini 付费订阅的 Pixel 11 用户开放。

NVIDIA 携手 Google 等机构推动开放科学，助力防范未来大流行病

面对未来大流行病的潜在威胁，全球科研可能无法再享有针对已知病毒的研究先机。为此，NVIDIA 宣布加入由 Google 等全球多家科研机构组成的联合联盟，致力于通过开放科学（Open Science）加深对关键病毒蛋白质的理解，提升未来疫苗设计的研发效率。该举措旨在汇聚计算技术与科研资源，为应对下一代流行病危机做好充分的前期准备。

The Decoder：DeepMind 希望更早推出 Gemini 4，重点转向可信智能体

据 The Decoder 报道，DeepMind 负责人 Koray Kavukcuoglu 希望在年底前更早推出 Gemini 4。报道表示，该模型已进入后训练阶段，并在内部编码工具 Antigravity 中使用；他强调可信智能体的重要性。产品时间表仍以官方后续公告为准。

Google Beam expands with new regions, partners, and customers

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Gemini 3.8 text-to-speech says hello

英国准备施压 Google 向 Android 和 Chrome 用户展示 AI 助手选择屏

英国竞争监管机构 CMA 想要让 Android 和 Chrome 用户对 AI 助手和搜索引擎有更大的选择权和控制权。CMA 公布了一份提案，要求 Google 在用户首次设置 Android 手机或打开 Chrome 浏览器时，向其展示多种搜索引擎供选择，并且每年提示用户选择一个默认搜索引擎；符合技术与安全标准的 AI 助手也必须获准出现在选择屏上上。该提案目前进入公众咨询阶段，截止日期为 10 月 9 日，CMA 预计将在今年底前做出最终决定。

New experts join Google’s AI & Economy team

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Co-creating the future of fashion with Google

Jane Wade and Sergio Hudson

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their electricity use […]

Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

New insights from Google’s AI & Economy ATLAS

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Have it both ways: stay discoverable in search while disallowing AI training

Cloudflare is giving site owners a way to stay discoverable while disallowing AI training. New controls and an Accountable designation establish a shared model with Apple, Google, and Microsoft.

Watch astronaut Christina Koch and Google’s James Manyika discuss space, technology, and discovery.

Christina Koch sits down with James Manyika, Google’s Senior Vice President of Research, Labs, Technology & Society.

DevFest is back

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3 ways to prep for your next big race with Search

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Get ready for the game with new football features in Search

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Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

The latest AI news we announced in August 2026

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Introducing agentic video understanding with Gemini

Try Google Pics: Easy image creation and editing in Google Workspace

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Gemini Omni 1.1 Flash lets you build with more control

Intelligent transcription with Gemini 3.5 Transcribe

Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe.

5 ways to upgrade your home decor with Google Search

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From Atari to EVE Online: Building on 15 Years of AI Research in Games

Google DeepMind partners with game studios to prototype breakthrough AI gameplay.

5 new ways to level up your learning with Search

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