Meta 将 Muse Wonder 专用模型部署到 Muse 与 Meta AI
Meta 于 11 月 6 日宣布，基于前沿模型系列 Muse Wonder 训练的专用模型正推向 Muse 和 Meta AI，把随 Muse Wonder 首次推出的主动记忆（Active Memory）与主动聚焦（Active Focus）能力带给用户。Meta 称主动记忆可识别早期信息是否仍然相关、区分已过时的内容，主动聚焦则帮助模型在约束变化时从挫折中恢复或寻找替代方案。Meta 内部评测显示，遗忘目标关键信息的情况减少 2.4 倍，随约束演进摆脱僵局的能力提升 67%，关键上下文正确使用率从 76% 升至 90%，个人超级智能指数得分从 38% 升至 47%。
此次更新把持久记忆、任务恢复等前沿智能体能力下放到用户量庞大的消费级产品，但 2.4 倍、67%、90% 和 47% 等数据均为 Meta 自行报告，尚无第三方独立评测。
Today we're bringing specialized models trained using Muse Wonder to @Muse and Meta AI, giving users access to some of Muse Wonder's frontier capabilities for complex tasks at work and in everyday life.
These specialized models include Muse Wonder's Active Memory and Active Focus, helping them stay aligned with your goals as tasks unfold:
→ Active Memory helps recognize when earlier information matters and distinguish what's still relevant from what's become stale
→ Active Focus helps recover from setbacks or find alternatives when constraints change
In Muse, the improved models show a 2.4x reduction in forgetting information critical to your goals and a 67% improvement in getting unstuck as constraints evolve. That means less repeating yourself and fewer dead ends when plans change.
In Meta AI, these improvements help it break complex problems into steps, ask sharper follow-up questions and adapt when you change direction.
Read more on our research blog: https://go.meta.me/4kCPcHW
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