What is the Personal Superintelligence Index?

It is a benchmark that measures the performance of Muse models, where Muse's score rose from 38% to 47% after the update.

What new capabilities were added to Muse?

The update adds "Active Memory," which remembers past interactions and tells persistent from temporary information, and "Active Focus," which helps the model keep pursuing goals when unexpected problems arise.

Large Language ModelsAI Business & IndustryAI Watch (Impress)8m agoNov 9, 2026, 22:01 JST

Meta rolls out Muse Wonder models, Muse score rises to 47%

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3 Key Points

What happened
Meta introduced specialized models trained with its new "Muse Wonder" model for Muse and Meta AI, lifting Muse's Personal Superintelligence Index score from 38% to 47%.
Why it matters
The index gain suggests Meta is improving how well its Muse assistant can handle targeted tasks, a signal that its consumer AI offering is becoming more capable.

WHO IT HITSMeta's consumer AI users on Muse and Meta AI are the first to see the effects, with the models now being introduced to these products. The update may also matter to developers and businesses that build on Meta's AI ecosystem, as more capable models could change what they can offer.

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Context & Analysis

Meta's update pairs a new base model, "Muse Wonder," with specialized models for its Muse and Meta AI products. The company reports a jump in Muse's Personal Superintelligence Index score from 38% to 47%, a single headline number that it uses to frame the overall improvement. Beyond the index, Meta describes gains in tasks that depend on using important context, and in everyday task completion when the model encounters unexpected problems. These changes point to an effort to make the assistant more reliable over longer interactions and better at staying on task, which could affect how users experience Muse and Meta AI in practice. The announcement does not specify a timeline for when the rollout will reach all users.

FAQ

What is the Personal Superintelligence Index?: It is a benchmark that measures the performance of Muse models, where Muse's score rose from 38% to 47% after the update.
What new capabilities were added to Muse?: The update adds "Active Memory," which remembers past interactions and tells persistent from temporary information, and "Active Focus," which helps the model keep pursuing goals when unexpected problems arise.

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