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Meta ships Muse Wonder, its most capable models yet

Meta's Muse Wonder and Muse Wonder Full are its most capable models, adding Active Memory and Active Focus for agentic work across its Model API and Muse Code.

Reported from Meta

Summary written from the original first-party source — the link to it is at the end of this post.

What happened: Meta introduced the Muse Wonder series, Muse Wonder and Muse Wonder Full, calling them its most capable models and a step toward what it calls personal superintelligence. Both were trained at Meta’s gigawatt-scale Prometheus data center and combine two ideas: Active Memory, which carries important context about a user across conversations and retrieves the details relevant to a task, and Active Focus, which keeps the model working toward a goal by trying alternative approaches, working through blockers and checking in before important actions. Meta reports state-of-the-art results across benchmarks for personal and professional agents, memory and coding, with a full model card linked from the post.

Context: Muse Wonder is available today through the Meta Model API and Muse Code, and Muse Wonder Full is available to Muse Code subscribers. Muse Wonder will soon power experiences in Muse, rolling out first to subscribers, and will also drive artifact generation and other processes that need more intelligence. Meta frames the release as the next step on the scaling ladder that began with Muse Spark and says the models carry its strongest safeguards yet against CBRN and cyber misuse.

Why it matters: Meta is making a direct frontier play for personal and professional agents, with reliable memory as the headline capability rather than raw benchmark scores. It also signals how seriously Meta is now treating agents that hold personal context, and why it says discretion with private information is part of the training target.

(Original source: Meta)

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