Alongside Spaces, Meta AI Research introduced specialized versions of its existing models for Muse and Meta AI on November 6, trained using learnings from Muse Wonder. The models bring in Active Memory, meant to retain relevant earlier information and distinguish temporary, permanent, current and stale information, and Active Focus, meant to keep work moving toward a goal when obstacles arise by trying harder, recovering or finding alternatives.

Meta's own figures: the current Muse model scores 47% on its Personal Superintelligence Index, up from 38% for the previous model, correctly used critical context in 90% of Active Memory tasks versus 76% before, and is 2.4 times less likely to forget critical information. Meta also reports a 67% improvement in completing everyday tasks when unexpected issues arise.

RuntimeWire notes the rollout reaches all users after Muse passed 10 million setups in North America. In Meta AI, the same changes are meant to break complex problems into steps, produce sharper follow-up questions and accommodate changes of direction mid-conversation. All performance figures are Meta's own claims.