- Active Memory helps Muse remember what matters from earlier conversations
- It tells temporary information from lasting facts and spots details that have gone stale
- On Meta's own test, Muse used critical context correctly in 90% of tasks, up from 76%
- Active Focus is about persistence when a task hits an unexpected problem
- The model is supposed to retry, recover or find another route instead of giving up
- Meta reports a 67% improvement in finishing everyday tasks where something goes wrong
- The new models are specialized versions of Meta's existing models, trained using Wonder
- Wonder itself, launched October 12, stays reserved for harder tasks by paying subscribers
- Free users get the Wonder-trained behavior; the frontier model stays behind the paywall
- The same model swap reaches Meta AI in WhatsApp, Instagram, Facebook and Messenger
- Meta says the assistant now breaks complex problems into clear steps and asks sharper questions
- All figures are Meta's own benchmarks, with no task counts or independent testing
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