Meta Brings Muse Wonder-Trained Models to Muse and Meta AI

2 reports 2 reporting sources Updated 1 hours ago

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Meta said Muse and Meta AI are starting to run on specialized models trained with Muse Wonder, adding Active Memory and Active Focus for complex tasks. Meta describes Active Memory as helping the models reason across time and remember what matters, while Active Focus helps Muse keep pursuing a goal when roadblocks arise. In Muse, Meta reports that the updated models reduce forgetting information critical to users’ goals by 2.4x and improve getting unstuck as constraints change by 67%. Meta says the models can also break problems into steps, ask sharper follow-up questions and adapt when users change direction.

Generated by AI from reports · Updated 47 minutes ago

Latest development11/7 02:45 (UTC+8)

Meta AI and Muse Will Run on New Models Trained Using Muse Wonder Alexandr Wang · X

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Muse Wonder#6 overall$4 input / $20 output per million tokens

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11/7

02:45
Alexandr Wang · XPicks
Meta AI and Muse Will Run on New Models Trained Using Muse Wonder
Starting today, Muse and Meta AI will run on new specialized models trained using Muse Wonder. The post describes Active Memory as enabling models to reason across time and remember what matters, and Active Focus as enabling Muse to keep working toward a goal despite roadblocks.
02:14
AI at Meta · XPicks
Meta Brings Muse Wonder Models to Muse and Meta AI
Meta says it is bringing specialized models trained using Muse Wonder to Muse and Meta AI, with Active Memory and Active Focus for complex tasks. In Muse, the improved models show a 2.4x reduction in forgetting information critical to users’ goals and a 67% improvement in getting unstuck as constraints evolve. Meta says the improvements help Meta AI break problems into steps, ask sharper follow-up questions and adapt when users change direction.

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