Memory is recall plus a sense of what expired.
Meta is rolling out specialized versions of the Muse and Meta AI models, trained using Muse Wonder, with Active Memory and Active Focus. Active Memory sorts temporary information from permanent, reasons across time, and tells live context from stale. Active Focus keeps a task moving when constraints change.
In Muse: 90% of tasks correctly using critical context, up from 76%, a 2.4x reduction in forgetting information critical to your goals, and a 67% improvement on everyday tasks where unexpected issues come up.
Long threads get better when the model knows what aged out.
x.com/AIatMeta/statu…
Meta is rolling out specialized versions of the Muse and Meta AI models, trained using Muse Wonder, with Active Memory and Active Focus. Active Memory sorts temporary information from permanent, reasons across time, and tells live context from stale. Active Focus keeps a task moving when constraints change.
In Muse: 90% of tasks correctly using critical context, up from 76%, a 2.4x reduction in forgetting information critical to your goals, and a 67% improvement on everyday tasks where unexpected issues come up.
Long threads get better when the model knows what aged out.
x.com/AIatMeta/statu…
Today we're bringing specialized models trained using Muse Wonder to @Muse and Meta AI, giving users access to some of Muse Wonder's frontier capabilities for complex tasks at work and in everyday life.
These specialized models include Muse Wonder's Active Memory and Active Focus, helping them stay aligned with your goals as tasks unfold:
→ Active Memory helps recognize when earlier information matters and distinguish what's still relevant from what's become stale
→ Active Focus helps recover from setbacks or find alternatives when constraints change
In Muse, the improved models show a 2.4x reduction in forgetting information critical to your goals and a 67% improvement in getting unstuck as constraints evolve. That means less repeating yourself and fewer dead ends when plans change.
In Meta AI, these improvements help it break complex problems into steps, ask sharper follow-up questions and adapt when you change direction.
Read more on our research blog: go.meta.me/4kCPcHWView quoted post on X
