Meta CEO Mark Zuckerberg is testing the company's new AI agent, Muse, for tasks ranging from planning baking projects with his daughter to analyzing MMA training footage. The AI is designed for long-term tasks and background work, requiring user trust for app access.
Meta's AI agent, Muse, is designed to perform complex, long-term tasks, reflecting a significant step in AI's integration into daily life. Its use by Meta's CEO for personal activities, alongside its broader business applications, highlights the potential and challenges of AI assistants requiring deep user trust and access to personal data.
Mark Zuckerberg is testing Meta's new personal AI agent, Muse, with tasks such as planning baking projects with his young daughter and analyzing footage from his MMA gym. Speaking on the "Sources" podcast, Zuckerberg described Muse as an AI designed to pursue longer-term assignments and operate in the background, retaining user preferences.
Zuckerberg shared that Muse has been tasked with selecting manageable baking projects for him and his 3-year-old daughter, though he noted that cake pops proved surprisingly difficult. He also uses the agent to track mountain-climbing permits for his older daughter and to create guides for video games, which he then suggests turning into history lessons.
In his MMA training, Zuckerberg uses Muse to review camera footage, receiving direct feedback on his performance. Meta plans to offer Muse with a substantial free allowance of approximately 100 million tokens weekly, with a paid subscription option also available. The company envisions Muse eventually assisting users with tasks like running small businesses and managing ad campaigns.
Despite the agent's capabilities, its use requires users to trust it with sensitive data and account access. Meta has implemented a confidential virtual-machine system and monitoring agents with approval prompts for actions like payments and sending emails to address these concerns. However, Zuckerberg's experience with baking suggests that AI assistants may still have limitations in understanding the practicalities of certain tasks.
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