Meta created GenRecs Tokenization, a stable model vocabulary that encodes ads and user preferences, enabling generative recommender models to reason about content and improve ad matching.

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Meta created GenRecs Tokenization, a stable model vocabulary that encodes ads and user preferences, enabling generative recommender models to reason about content and improve ad matching.

Meta built a thinner orchestration layer for its AI agents that only routes work and enforces reliability checks, letting specialized agents handle domain reasoning, which improved efficiency and accuracy.

Meta built the Forum app by integrating an AI agent into its development workflow, enabling deeper conversation experiences in Facebook groups.

Meta scaled its Generative Ads Model (GEM), the largest recommendation‑system foundation model, by expanding compute and intelligence transfer with next‑generation hardware and extending the model across the entire ads ecosystem.
