Meta 发布 Muse Wonder 与 Muse Wonder Full 智能体前沿模型
Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents
Meta 发布 Muse Wonder 系列，包含 Muse Wonder 和 Muse Wonder Full 两款模型，称其为目前能力最强的模型，在个人与专业智能体任务上达到 SOTA，覆盖法律、金融、健康等专业领域以及前沿编码能力。两款模型具备 Active Memory，可跨对话保留关键信息并调取与当前任务相关的细节；还具备 Active Focus，在任务变难时继续尝试其他方法、从错误中恢复，并在执行重要操作前先确认。Meta 表示该系列按 Meta Superintelligence Scaling Framework 的标准训练、评估和发布，完整安全评估报告将随后公布。
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Meta 官方发布 Muse Wonder 系列，给出 Active Memory 与 Active Focus 两项面向长任务智能体的能力设定。
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Takeaways
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.
For a closer look at how these models were built, how they were tested and what they can do, head to our research blog.
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