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Meta 新 AI 智能体 Muse 开启内测：视频化身、系统级代控与眼镜接入
在 Meta Connect 2026 开发者大会上，Meta 公布个人 AI 智能体应用 Muse 的多项功能升级，并于 9 月 25 日开放预发布体验。新功能包括具备实时视频交互能力的数字虚拟形象、扩展的购物生态伙伴与数据连接器、Mac 版可直接控制电脑执行复杂任务，以及全面接入 Meta AI 智能眼镜产品线，支持唤醒词和语音指令即时交互。测试策略上，Meta 未采用封闭内测或随机 A/B 测试，而是通过社交平台发布申请提示词，用户在 Muse 中发送对应请求即可排队，意在优先筛选各类 AI 智能体的高频重度用户以获取早期反馈。
AI推荐理由 内容为 Meta 在 Connect 2026 上公布个人 AI 智能体 Muse 的功能升级并开放预发布体验，具体新信息包括实时视频交互数字虚拟形象、Mac 版直接控制电脑执行复杂任务、接入 Meta AI 智能眼镜并支持唤醒词与语音交互，以及采用 Prompt Trigger 排队机制筛选重度用户。这些对 Agent 跨设备、系统级权限与硬件协同方向有参考价值。但来源为 AIbase 转述，非 Meta 官方原文，缺少可验证的技术细节、权限边界与实测效果，且正文含栏目推广内容，信息密度一般，故质量分中等。
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正文
Video Avatars, System-Level Proxy Control, and Glasses Integration - Meta's New AI Agent Muse Begins Internal Testing
AIbase基地
Published inAI News · 3 min read · Sep 28, 2026
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At the Meta Connect2026 Developer Conference, Meta officially announced several major feature upgrades for its personal AI agent application Muse and opened a pre-release experience program for the public on September 25, accelerating its efforts in multimodal and edge-side AI agent development.
The latest feature updates focus on system-level control, hardware collaboration, and interaction forms. Muse introduced a digital virtual avatar with real-time video interaction capabilities and significantly expanded its shopping ecosystem partners and data connectors; on the desktop side, the Mac version of Muse will gain the ability to directly control the computer to perform complex tasks; in terms of hardware integration, Muse has fully integrated into the Meta AI smart glasses product line, supporting instant interaction through wake-up words and voice commands.
In terms of testing strategy, Meta broke away from the industry's common closed beta or random A/B testing model, adopting a "Prompt Trigger" mechanism: the official provided application prompt words on social platforms, and users could directly send corresponding requests in Muse to register for the queue. This approach aims to prioritize identifying highly engaged, heavy users of various AI agents, leveraging the sensitivity and multi-tool usage habits of power users to obtain high-quality feedback at an early stage of model iteration.
As major technology giants compete comprehensively in the AI agent field, Meta's latest move of enabling access to desktop-level operating permissions and smart wearable devices demonstrates its strategic intent to evolve AI agents from a single chat window into cross-device, cross-system, round-the-clock assistants.
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