Meta为Muse AI推出Spaces功能及专用模型
Start here
2026年11月7日,Meta宣布在Muse AI助手中推出“Spaces”功能,这是其继Muse Voice后在一周内为Muse发布的第二项新功能。该功能允许用户通过自然语言描述,围绕度假规划、婚礼筹备或项目管理等特定主题,自动生成购物中心、日程仪表盘、追踪器或看板等定制化类App界面。用户可直接在空间内记笔记、勾选待办,接入第三方应用后系统可在后台自动更新价格与日期等信息,并支持自定义停靠及按日程切换界面。该功能目前正面向全体Muse用户推送,未来还将支持多用户共享协作。同日,Meta还推出了基于Muse Wonder训练的专用模型,向Muse和Meta AI用户推送,为其引入了Active Memory(主动记忆)与Active Focus(主动聚焦)能力。
AI-generated from reports · Updated 1 hour ago
Report timeline
Follow the reports to see different sides of the story.
- Hacker News · AISelectedMeta introduces dedicated models trained on Muse Wonder for Muse and Meta AI
Meta announced dedicated models trained on Muse Wonder and is rolling them out to Muse and Meta AI users, introducing Active Memory and Active Focus capabilities.
- TechCrunch AISelectedMeta Launches Spaces Feature, Offering Topic-Focused Workspaces for Muse Agent
Meta has officially launched Spaces, allowing users to create customized spaces around specific topics such as vacation planning, wedding prep, or project management to collaborate with the Muse agent. Users can simply describe their ideas in conversation, and Muse will automatically generate trackers, planners, or boards, with support for third-party app integrations to automatically update details like price changes in the background. This marks Meta's second feature release for the Muse agent within a single week, following Muse Voice.
- The Verge · AI 筛选SelectedMeta Introduces 'Spaces' to Muse AI: On-Demand Custom Light App Interfaces
Meta has announced "Spaces," a new feature in its Muse AI assistant that allows users to create customized, app-like interactive interfaces—such as shopping hubs and schedule dashboards—using natural language prompts. Users can interact directly within a space to take notes or check off to-do items. Once linked to apps, the system automatically syncs prices and dates in the background, while also supporting custom docking and schedule-based switching. The feature is rolling out to all Muse users alongside a dedicated Muse Wonder model, with multi-user collaboration planned for the future.
Story heat trend
Not enough continuous data yet to draw a trend.