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Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly, a novel approach we call Catching Just-in-Time Tests (JiTTests).
This post describes the next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval.
The 2026 Python Typing Survey received 1,794 responses. Type hint use changed little across three years, but checker selection changed sharply.
This latest deep dive into Meta’s Privacy Aware Infrastructure (PAI) takes a look at PrivacyLib. A privacy requirement must hold as data moves through Meta’s diverse data and processing systems.
At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster.
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