A new digital tool called Muse has emerged, offering personalized recommendations by analyzing conversations and social media interactions. Unlike traditional recommendation systems, it adapts suggestions in real time based on user engagement across platforms. The technology aims to refine content delivery by learning from ongoing digital behavior rather than relying solely on past preferences. Early discussions highlight its potential to reshape how users discover tailored information online.
New ‘agent’ called Muse designed to make customised suggestions based on chats and social media activity
