Meta’s Muse AI is becoming more personal by learning about the people, routines and relationships surrounding its users. That capability could make the assistant more useful, but it is also creating a new privacy question: how much of a person’s private life should an AI assistant remember?
Security researchers who examined Muse’s internal files found instructions suggesting that the AI can create detailed profiles of people connected to a user, including family members, friends, colleagues and other contacts.
The development comes as Meta continues pushing Muse as a more capable AI assistant. Unlike a conventional chatbot that simply responds to prompts, Muse is designed to retain context, understand a user’s preferences and eventually take actions on their behalf.
That makes the information it collects far more significant.
Muse Is Learning About the People in Your Life
The privacy concern around Muse goes beyond the information a user directly gives the AI. Researchers found evidence that the system can organize information about people in a user’s life and use those details to build a broader understanding of personal relationships.
WIRED reported that researchers extracted parts of Muse’s internal instructions and operating files. Those instructions indicate that Muse can create dedicated profiles for people connected to the user and update those profiles as it gathers additional information.
The profiles can cover family members, partners, friends, colleagues, collaborators and other people a user interacts with. The system can then use that context when responding to future requests.
For example, an AI assistant could potentially provide a more useful recommendation if it knows that a particular friend enjoys a certain hobby, has an upcoming birthday or recently mentioned a specific interest.
The convenience is obvious.
So is the privacy question.
Muse Can Build a Detailed Picture of Personal Relationships
The information reportedly associated with these profiles can extend beyond basic identifiers. Muse’s instructions describe collecting details such as where someone lives, what they do, important dates, recurring issues and information from previous experiences.
The system can also consider the nature of relationships between people.
That means Muse may not simply know that a particular person is a user’s friend. It can potentially develop a broader picture of why that relationship matters, what the two people have in common and other contextual details that could help the AI respond more effectively.
Individually, those pieces of information may seem harmless.
Together, they can become a surprisingly detailed map of someone’s personal life.
An AI that remembers a friend’s birthday is one thing. An AI that remembers the friend’s interests, personal problems, relationship with the user and previous conversations is something considerably more powerful.
Meta Says Users Can Manage Their Muse Data
Meta has pushed back against some of the privacy concerns by pointing to the controls built into Muse. The company says users can review the AI’s activity, remove memories and disconnect services connected to the assistant.
Meta also says each user receives a dedicated virtual machine where Muse stores its data and context. The company describes this environment as separated from other users and agents.
The company says Muse can also request confirmation before carrying out certain sensitive actions. An audit log allows users to see what the agent has done and what it plans to do.
Those controls are important because an AI agent has considerably more freedom than a traditional chatbot. If the system can access services and act for a user, users need a way to understand what happened behind the scenes.
Meta also says conversations and data stored in the Muse virtual machine are not shared with its advertising systems.
That does not mean advertising is completely disconnected from Muse activity.
Meta’s documentation says activity performed through Muse while browsing the web can influence the ads a user sees. The distinction is that Meta says the contents of the Muse virtual machine itself are not directly shared with its advertising systems.
The Bigger Issue Is How Much Data an AI Assistant Needs
Muse is part of a broader shift in the AI industry. Companies are moving away from assistants that simply answer questions and toward agents that can understand context, remember preferences and interact with other services.
That requires data.
The more an assistant knows about a person, the more useful it can potentially become. Knowing someone’s schedule can help with planning. Knowing their preferences can improve recommendations. Knowing their relationships can make responses more relevant.
But every additional piece of context also creates another privacy consideration.
AI governance researcher Miranda Bogen told WIRED that personal AI assistants could encourage people to connect increasingly large parts of their lives to a single system.
That changes the relationship between a user and an AI platform.
The assistant is no longer just processing individual prompts. It can begin to develop a persistent understanding of the person using it.
People Who Never Use Muse Can Still Appear in Its Data
One of the more complicated aspects of relationship-based AI is that the information does not necessarily belong only to the person using the service.
A Muse user could talk about a colleague, family member, friend or business contact. Those people may never use Muse themselves, yet information about them could still become part of the user’s AI context.
That creates a difficult question around consent.
Meta says Muse uses information from public sources and information users choose to share. The company’s instructions also tell the system to rely on available evidence rather than invent personal details.
But AI systems do not need someone to explicitly state every conclusion they make.
A system can potentially infer that two people are close based on repeated conversations, shared events or other signals. It can also draw conclusions about someone’s interests or circumstances from seemingly unrelated pieces of information. Those conclusions could be useful. They could also be wrong.
AI Memory Is Becoming a New Privacy Battleground
The debate around Muse reflects a larger change in how AI companies are building their products. Memory has become one of the most valuable features of an AI assistant because it allows the system to become more personalized over time. But memory also changes the privacy equation.
A chatbot that forgets previous conversations has limited knowledge of a user’s life. An AI assistant that remembers relationships, preferences, schedules and personal history can potentially build a much deeper profile. Meta appears to be moving firmly toward the second model with Muse.
The company says it is also developing a Muse Confidential VM, which is designed to create a stronger privacy boundary around user information. Meta says the technology is being tested and is planned for release later this year.
That could give users another layer of protection. Still, the central issue remains. The more personal an AI becomes, the more important it becomes to understand exactly what it remembers, why it remembers it and who can access that information.
Meta Wants Muse to Become a Personal AI Agent
Meta’s long-term vision for Muse goes well beyond answering questions. The company wants an AI assistant that understands its users, remembers relevant context and can take action across connected services.
That ambition explains why relationship information is becoming part of the product. For Meta, knowing more about a user can make Muse more useful. For users, however, the value of that personalization needs to be weighed against the amount of personal information being accumulated.
The issue is no longer simply whether AI can remember. It can. The bigger question is how much of our lives we are willing to let it remember.