Quoting John Gruber

Meta launches its first consumer-facing agent AI system, Muse. The system runs a separate Linux virtual machine for each user, offering powerful capabilities but also presenting potential risks.

Key points

Understand the technical architecture and depth of privileges involved in running independent virtual machines on Mac with Muse.
Be wary of consumers underestimating the security and privacy risks associated with powerful AI tools.
Evaluate the likelihood of data breaches when deploying such systems on personal devices.

What to do next

Read John Gruber's original article for an in-depth analysis of his views on the dangers of AI.
Check whether your current environment has already deployed agent AI systems similar to Meta Muse.

Captured article (Markdown)

25th September 2026

Muse is getting a lot of attention — including mine — because it’s both groundbreaking technically (each user gets their own entire persistent Linux VM running in Meta’s cloud) and because it’s packaged in an easy-to-install easy-to-use way. It’s literally presented as a cute mascot. It’s the first consumer-accessible agentic AI system, and Meta has truly done an amazing job with that. But it’s a genuinely open question whether consumers have any understanding what this means. If you buy a power saw that can cut your fingers off, you are almost certainly aware that you are buying a power saw that can sever your fingers. [...] I don’t think people realize how powerful — and thus dangerous — Muse is, especially if it’s running on your Mac.

— John Gruber, Muse Looks Cute, but Looks are Deceiving