Meta 发布开源模型 Glimmer，透露扎克伯格个人智能愿景
Meta 开源 300 亿参数的本地 AI 代理模型 Glimmer，推动个人掌控 AI，而非只依赖云端。
Meta 本周发布了一款名为 Muse Glimmer 的开源模型，它拥有 300 亿参数（即模型内部的可调权重，参数越多通常能力越强），采用宽松的 Apache 2.0 许可证，开发者可自由下载和修改。Glimmer 专为在本地设备上运行 AI 代理而设计，只需一块消费级 GPU 就能在 Mac 或 PC 上执行多步任务，如调用工具、编写代码、处理文件等。它支持文本和图像，覆盖 100 多种语言，并可离线常驻运行。相比云端处理，这种本地化方式更有利于保护个人隐私，也为扎克伯格设想的“个人超级智能”铺路。
正文摘录
Meta on Monday released [Muse Glimmer](https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model), an open-weight model designed to power AI agents locally on consumer hardware, providing the clearest picture yet of what CEO Mark Zuckerberg’s vision of “personal superintelligence” could look like in practice. The 30-billion parameter model is essentially an open version of Meta’s most powerful closed model, Muse Spark, which [the company debuted in April](https://techcrunch.com/2026/04/08/meta-debuts-the-muse-spark-model-in-a-ground-up-overhaul-of-its-ai/). Glimmer’s weights are available under the permissive Apache 2.0 license, so developers can download them and modify as necessary. Glimmer is designed to run AI agents that can perform multi-step tasks — like call tools, …