Meta's Muse Exposes The Privacy Paradox In AI Assistants

The author's initial skepticism about Muse's viability rested on assuming users would reject privacy tradeoffs. The actual constraint is structural: frontier AI agents require deep service integration to function, forcing a choice between capability and control that most users will resolve by accepting rather than refusing. What matters isn't whether Meta's specific product succeeds, but that the entire category of useful AI agents is built on architectural foundations that systematically treat privacy as a negotiable feature rather than a constraint. This precedent will shift what downstream competitors consider acceptable.