DafinchiOpen source is important… but we’ve always basically said that we were going to do a mix of open and closed, and that continues to be true.
META2026 Q2Technology
1mo
Meta Platforms, Inc. 2026 Q2: LLMs embedded into Instagram/Facebook recommendation and content understanding
LLMs embedded into Instagram/Facebook recommendation and content understanding
- Management described integrating LLMs into recommendation systems to add first-principles understanding of content and deeper awareness of user goals and interests.
- They cited a milestone where every public Instagram Reels and Feed post is automatically processed through an LLM and analyzed across dimensions such as topics and tone.
- They said Q2 began using Muse family models for content understanding (e.g., video topic classification and summarization) with positive early results.
- Management discussed expanding LLM-based content understanding signals into downstream stacks for ranking, recommendations, and content policy enforcement.
- For engagement, they highlighted a 15 basis point increase in Instagram sessions from a large Reels/Feed ranking improvement release and early Feed results said to be comparable.