Meta improves Muse and Meta AI with Active Memory and Active Focus
Meta AI Research rolled out updated versions of Muse and Meta AI on November 6, 2026, using specialized models trained with Muse Wonder. The current Muse model now scores 47% on Meta’s Personal Superintelligence Index, up from 38% for the previous version. These updates introduce Active Memory and Active Focus, features designed to improve context retention and task persistence in real-world…
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Remembers prior info and stays on task when issues arise.
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Meta Muse in the tool directory · 8 changes covered
Key points from the news
- Muse scores **47%** on Meta’s Personal Superintelligence Index, up from **38%** with the previous model
- **Active Memory** cuts forgetting critical info by **2.4x**, with **90%** of tasks now using context correctly
- **Active Focus** boosts task completion by **67%** when unexpected issues arise
Active Memory reduces forgetting critical information by 2.4x, with Meta reporting 90% of tasks now correctly apply relevant context—up from 76%. Active Focus improves task completion by 67% when unexpected issues arise, helping agents adapt to interruptions while maintaining progress. The changes apply to both Muse and Meta AI, aiming to make them better collaborators for users navigating complex or dynamic workflows.
Model pages: Muse → · Muse Wonder → · Muse Wonder Full →
The story so far
4 episodes →- Meta improves Muse and Meta AI with Active Memory and Active Focusthis story
Current Muse Scores 47% on Meta’s Personal Superintelligence Index
Unite.AI · 7 November 2026
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This text was published by Unite.AI and written by Jonas Reeve, Cognitive AI & AGI, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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