作者指出 Meta Muse Wonder 面向代用户行动的 Agent，核心功能为 Active Memory（跨对话跟踪重要信息并召回相关上下文）和 Active Focus（任务受阻时尝试其他方法并从错误中恢复）。
原文补充了发布新闻之外的两个能力细节，读者可以据此理解 Meta 在记忆与长任务执行上的差异化投入。
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?!)
Meta did the unthinkable: Meta says Muse Wonder Full beats leading OpenAI and Anthropic models on several tests of sustained agent work. On DeepSWE it outperforms all other models, even Opus 5.5. On SWE-Marathon, its reported score is 57.5%, versus 46.3% for Claude Opus 5.5 and 42.5% for GPT-6 Astra. Active Memory retrieves relevant context across conversations. Active Focus helps the models work through blockers. Wonder is available through Meta’s API and Muse Code. Full is available to Muse Code subscribers. Meta changed the game. Expect OpenAI and Anthropic to answer ASAP. What a day!!在 X 查看被引用的帖子
来源：Chubby♨️ · x.com