Meta Muse leaks users' shared conversations to simple searches

Ars Technica reports that conversations shared from Meta's Muse assistant can be found in bulk, listed by title, with a single query. The exposed chats reportedly include personal and business secrets.

Why it matters: Shared-link features that become publicly indexable are a recurring AI privacy failure, and users rarely expect 'share' to mean 'searchable'. As assistants take on sensitive work and business data, default visibility and indexing settings become a real enterprise risk and a likely regulatory flashpoint.