Muse flips recommender systems: users specify what the feed should surface
alexandr_wang · x · 2026-09-11
Cristina Menghini praises Muse's Feed, which flips traditional recommender systems: instead of learning from indirect signals, users tell the system what to look for, reducing noise. Paired with personal-agent features, Scale AI CEO Alexandr Wang endorses it and invites users to try it.
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