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AIHot· noreply@aihot.news (Meta:Newsroom · AI)·· 14 天前AI 评分74

Meta 发布 Muse Wonder 和 Muse Wonder Full 智能体前沿模型

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Meta 发布 Muse Wonder 和 Muse Wonder Full 两款新模型,在个人和专业智能体任务上达到 SOTA 表现。新模型具备跨对话保留信息的 Active Memory 和遇错可换路径的 Active Focus 能力,面向法律、金融、健康等专家领域并提供前沿编码性能,现已通过 Meta Model API 和 Muse Code 开放。

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Meta:Newsroom · AI· Facebook·2026-10-13 01:08· 14 分钟前精选AI 评分69

Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents

AI 导读

Meta 发布 Muse Wonder 和 Muse Wonder Full 两款新模型,称其在个人和专业智能体任务上达到 SOTA 表现。新模型面向法律、金融、健康等专家领域并具备前沿编码性能,配备跨对话保留信息的 Active Memory 和遇错可换路径、需确认时先询问的 Active Focus;安全方面训练模型不未经许可分享隐私、拒绝有害请求。

推荐理由

官方发布说明直接列出模型面向法律、金融、健康等真实任务的关键能力,读者可以了解其定位和获取方式。

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Fourteen months ago, we began an overhaul of our AI efforts, and in that time we’ve gone from rebuilding our foundations to pushing the frontier. Today, Meta is introducing the Muse Wonder series with Muse Wonder and Muse Wonder Full, our most capable models to date, built on the groundwork we laid with Muse Spark. The models deliver state-of-the-art performance on personal and professional agentic tasks.

Built for Real World Needs

Whether the job is navigating an insurance claim, understanding a lease, or making sense of someone’s finances, a model has to interpret the information in front of it and work through the problem. Muse Wonder and Muse Wonder Full bring that capability to expert domains including law, finance, and health, along with frontier coding performance for people building everything from a game to an app for a new business.

Real work also unfolds over time. That’s why we’ve built our new models to have Active Memory, the ability to carry what matters to you across conversations and bring back the details that are relevant to the task at hand. They’re also equipped with Active Focus, the ability to keep working toward your goal when a task gets hard, try other approaches, recover from errors, and follow through, asking for clarification when needed and checking in before following through on anything important.

How We Build for Safety

A personal agent can take on real tasks for you, which often means working across your messages, calendars, and documents. That’s why we trained the Muse Wonder family to avoid sharing private information without permission; turn down requests to assist in performing actually harmful acts; and work to improve security and strengthen defenses against cyber attacks. Developers and security teams can use models like Muse Wonder to find flaws in their own code and strengthen their systems, so we made sure the models can still do that work. We train, evaluate, and release our most capable AI models in line with the standards set out in our Meta Superintelligence Scaling Framework. A full report with additional safety evaluations will be available soon.

Muse Wonder is available today through the Meta Model API and Muse Code. It will soon power more of Muse, rolling out first to subscribers. This is a major step toward personal superintelligence for everyone, with much more to come.

For a closer look at how these models were built, how they were tested and what they can do, head to our research blog.

The post Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents appeared first on Meta Newsroom.

来源:Meta:Newsroom · AI · about.fb.com

来源:AIHot · aihot.news