Meta's Muse: A Data-Collecting AI That Thinks It's Helping

Introduction: An App with an Agenda

When I first saw Meta's latest AI offering, Muse, promoted on Instagram, my curiosity was piqued. The app claimed to be a personal assistant that would handle everyday tasks like booking reservations and managing my inbox—without the usual caveats about privacy. In fact, its initial pitch read: "Muse keeps working while you get on with your day." That sounded promising.

However, after spending a few days with Muse, I realized that it wasn't just helping me—it was watching me, collecting everything in the name of improving AI performance. What began as an experiment quickly turned into a lesson in how deeply embedded data collection has become in the fabric of AI tools.

The Promise and Reality of Personal AI

Muse's design reflects a new wave of AI agents, popularized by Silicon Valley companies like OpenClaw and Instinct. It's built to be a seamless part of your digital life—accessible through WhatsApp and Messenger, with a default avatar that looks like a friendly cross between an Ewok and a Labubu. But this charm masks an insatiable appetite for user data.

After downloading Muse, I found its web-surfing capabilities to be surprisingly effective. It ordered breakfast from a local bakery with minimal errors and even handled the checkout process using Stripe—a credit card connection that came with no small degree of scrutiny. The experience was almost like texting a friend who does everything for you, complete with thumbs-up acknowledgments.

Yet, beneath its polished interface lies a deeper pattern: every interaction was an opportunity to gather more information. Muse suggested connecting my bank accounts and email to enhance its capabilities. It even nudged me to upload photos of important documents for analysis. When I asked it to track my savings, it proposed linking financial data not just to generate reports but also to improve accuracy.

"Folks don't recognize that when you talk to an AI, you are talking to the company hosting the AI," says Rory Mir from the Electronic Frontier Foundation. "These chat windows—that we're used to being connections between us and another person—are really just us directly putting information into Meta servers about ourselves."

Data Collection on Demand

One of the most striking features of Muse is its relentless pursuit of personal details. Its idea section constantly offered new ways for me to provide more data—like scanning my inbox or uploading passport photos. These weren't just suggestions; they were subtle pressure tactics to increase engagement and data ingestion.

Meta's default settings automatically opt users into sharing their interactions for AI training purposes. While Meta claims this data is sanitized, the lack of clarity around how exactly this process works raises serious concerns. Even with a toggle available in the app settings to disable it, users must actively choose to protect themselves—a step that many will likely overlook.

Consumer advocates are not impressed by Meta's approach. Calli Schroeder from the Electronic Privacy Information Center noted: "This tells me they have not learned from past mistakes and undermines their argument that you should trust Muse with all your information even further."

Privacy in Practice

Muse is designed to store user preferences, habits, and long-term memory in a document accessible through the app's interface. While users can manually edit or delete this data, there's no way to completely disable the memory feature. This means that every interaction builds up a digital profile—often without explicit user awareness.

Meta's blog post defending its approach argues that collective usage improves performance across all users. However, this justification doesn't sit well with privacy advocates who see it as a form of coercion disguised as progress. As Tarek Sheasha from Meta Superintelligence Labs puts it, "We think this is a good default—every Muse user gets a better personal agent as we all collectively use the product and help the model understand the intricacies of human life."

The Ad-Space Implication

While Muse does not directly share your data with advertisers, its actions still influence what you see online. For example, if Muse makes a dinner reservation or purchases something on Facebook Marketplace, those interactions can indirectly shape ad targeting on Instagram. Meta's own safety blog notes that these activities might influence the ads you're exposed to, potentially creating a feedback loop that further personalizes your digital experience.

This raises deeper questions about the role of AI in shaping our online lives and the potential loss of autonomy. Margaret Mitchell from Hugging Face warns: "The design of AI agents is such that it disengages users... Users become more passive." The more reliant we become on AI tools, the less likely we are to engage critically with decisions.

The Risk of Cognitive Dependency

As these agents become smarter and more integrated into our daily routines, a concerning trend emerges: cognitive degradation. When humans delegate complex decision-making to AI, they risk losing the ability to make independent choices. Mitchell's research highlights how AI tools may start mirroring user speech patterns and behaviors—creating a psychological bond that makes people even more willing to share personal data.

What started as a tool for convenience can quickly evolve into an addiction-like dependency. Muse isn't just an assistant; it's a silent data collector, always listening, always learning, always ready to suggest the next step in your digital journey—often at the expense of your privacy.

Final Thoughts: The Cost of Convenience

In the end, I decided to uninstall Muse. It was too easy to get caught up in its constant requests for information and its seemingly innocuous prompts. While it was powerful and convenient, the trade-off felt too high.

The lesson from Muse is clear: when AI tools offer ease, they often demand more than we realize. As these technologies become mainstream, we must ask ourselves whether the convenience they promise is worth the price of our personal information and autonomy. For now, I'll stick to browsing the web myself—slowly, carefully, and with a healthy dose of skepticism.