Meta Muse 智能体应用主打主动记忆与主动专注两大功能
Meta 的 Muse 智能体有个挺特别的点：任务卡住会自己换路子重试，还带跨对话记忆，比一般聊天机器人更能把事办完。
Meta 推出面向代理任务的 Wonder 架构，首个落地产品是 Muse 应用。Muse 具备主动记忆，可在跨对话中持续追踪用户关注的事项；主动专注则让任务在遇阻时自动尝试其他方案并从错误中恢复。Wang 表示 Meta 在记忆方面的投入相对于其他实验室是不成比例的。模型在俄亥俄州的 Prometheus 集群上训练，采用大规模预训练加强化学习的流程，背后是 Zuckerberg 承诺的 1000 亿美元以上资本预算。
Two more interesting insights that was probably drowned in the release news:
Meta built Wonder for agents that act on your behalf, starting with its Muse app. Two features are really important: active memory, which keeps track of what matters to you across conversations, and active focus, which keeps a task going when it gets hard, tries other approaches and recovers from errors.
Wang says Meta invested in memory "disproportionately" compared with other labs. The models were trained on Meta's Prometheus cluster in Ohio, with large-scale pre-training followed by reinforcement learning, after Zuckerberg had already committed a capital budget of $100 billion or more.
Active memory and active focus make Meta Muse even more exciting, because they allow for much more accurate and comprehensive execution of essential tasks.
(P.S.: Can we *please* finally get Meta Muse in Europe too?!)
