Meta puts Muse Wonder-trained models into Muse and Meta AI, and adds build-your-own spaces
What is it?
Meta has replaced the models behind the Muse app and Meta AI. The new ones are specialized versions of its existing models, retrained with help from Muse Wonder, the flagship it launched in October. They inherit two Muse Wonder features: Active Memory, which keeps track of what still matters in a long conversation, and Active Focus, which looks for another route when a task gets stuck. Muse also got spaces the same day. You describe something like a gift tracker or a trivia game, Muse builds it, and it keeps itself updated from the apps you connect.
Why does it matter?
Meta says the share of tasks that correctly use critical context rose from 76% to 90%Vendor claim, and its own Personal Superintelligence Index went from 38% to 47%Vendor claim. Instead of keeping those abilities in the flagship alone, Meta used it to retrain the models already running inside its consumer apps. Teams building agents can borrow the way it measures memory and recovery. Spaces fit a wider trend, alongside Claude artifacts and ChatGPT apps, where the output is a small app that sticks around and keeps itself current instead of a chat reply.
Maturity
GABoth the specialized models and spaces are live today wherever Muse is offered (US adults). Meta hasn't named the models or given their sizes, and every number comes from Meta's internal evaluations.
How to track it
- Independent checks: Look for model names or API access on the Meta research blog and in the Model API docs.
- Sharing: Meta says it is exploring sharing and collaboration for spaces. Watch the Newsroom for when that lands.
- Regions: Follow @AIatMeta for any expansion of Muse beyond the US.