Active Focus
A model's ability to keep working on long tasks, proactively try different approaches, and confirm with the user before performing important operations.
Core Facts
Meta describes two model features: Active Memory carries relevant context across conversations, and Active Focus keeps trying different paths on difficult goals and confirms before critical actions.
Muse Wonder focuses on two major features: Active Memory and Active Focus.
Timeline (last 90 days)
Active Focus is the second named capability of Muse Wonder, describing task persistence, including persisting when a task becomes difficult, trying other paths, recovering from errors and finishing to the end, asking for clarification when needed, and confirming with the user before executing high-impact steps.
Active Focus gives the model the ability to stay engaged with a task when tools fail, automatically devise alternative routes, backtrack and adjust tool parameters, and request human confirmation at key safety checkpoints.
Active Memory refers to a model persisting user preferences, project context, and historical decisions across sessions and actively invoking them in subsequent conversations; Active Focus is a mechanism for maintaining multi-step execution around an established goal, switching strategies after failure, and continuing to push forward when encountering obstacles.
Muse Wonder has Active Focus capability, continuously trying to bypass obstacles and advance goals when a task is blocked.
According to the Meta research blog, Active Focus describes how Muse Wonder keeps pushing difficult goals forward: trying alternatives, handling blockers, adapting to new information, asking for clarification, and confirming before performing important actions.
Meta describes two model features: Active Memory carries relevant context across conversations, and Active Focus keeps trying different paths on difficult goals and confirms before critical actions.
Muse Wonder focuses on two major features: Active Memory and Active Focus.
All Facts (7)
Meta describes two model features: Active Memory carries relevant context across conversations, and Active Focus keeps trying different paths on difficult goals and confirms before critical actions.
65%Partially VerifiedMuse Wonder focuses on two major features: Active Memory and Active Focus.
65%UnverifiedActive Focus is the second named capability of Muse Wonder, describing task persistence, including persisting when a task becomes difficult, trying other paths, recovering from errors and finishing to the end, asking for clarification when needed, and confirming with the user before executing high-impact steps.
50%UnverifiedActive Focus gives the model the ability to stay engaged with a task when tools fail, automatically devise alternative routes, backtrack and adjust tool parameters, and request human confirmation at key safety checkpoints.
50%UnverifiedActive Memory refers to a model persisting user preferences, project context, and historical decisions across sessions and actively invoking them in subsequent conversations; Active Focus is a mechanism for maintaining multi-step execution around an established goal, switching strategies after failure, and continuing to push forward when encountering obstacles.
50%UnverifiedMuse Wonder has Active Focus capability, continuously trying to bypass obstacles and advance goals when a task is blocked.
50%UnverifiedAccording to the Meta research blog, Active Focus describes how Muse Wonder keeps pushing difficult goals forward: trying alternatives, handling blockers, adapting to new information, asking for clarification, and confirming before performing important actions.
50%