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Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.
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- F3 Lightning: How Meta Accelerates Ads ML Features to Production at ScaleMeta Engineering (AI) · researchFacebook Feature Framework (F3) is Meta s framework for authoring, compiling, and serving the machine learning features underlying ads ranking models, where a single request can require more than 20,000 features. We first presented F3 at AI @ Scale 2020. F3 reduced execution comp
- Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-DesignMeta Engineering (AI) · researchThis 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. In production, the system scores every eligible ad with near ranking-
- Python Typing Survey 2026: AI Tools and the Shifting Checker LandscapeMeta Engineering (AI) · researchThe 2026 Python Typing Survey received 1,794 responses. Type hint use changed little across three years, but checker selection changed sharply. Among respondents who reported which checkers they use, half selected more than one, and missing library type information was the most c
- Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI NetworksMeta Engineering (AI) · researchAt 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. Highlights IcePack IceCube: Meta s first liquid-cooled
- GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model VocabularyMeta Engineering (AI) · researchGenerative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to predict the best outcome for advertisers. Leveraging the world knowledge built into LLMs makes ad matching more intelligent a
- The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to DoMeta Engineering (AI) · researchSometimes, giving an AI agent all of the knowledge it needs is the wrong approach. At Meta, we ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks,
- How Meta Built Forum With AI-Native EngineeringMeta Engineering (AI) · researchMeta s newest app, Forum, is for anyone who wants to go deeper into the conversations in their Facebook groups. To build Forum, Meta engineers adopted a whole new way of working by bringing an AI agent into the development cycle. We re sharing insights into what it took to build
- Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AIMeta Engineering (AI) · researchLast year, we introduced GEM, the industry’s largest recommendation system (RecSys) foundation model. GEM established Meta s first LLM-inspired paradigm for ads recommendation, driving major performance gains. Building on this foundation, our next goal is to further scale both co
- OCP Summit 2026: Powering AI with Open Innovations in Scale-Up, Scale-Out, and Scale-Across NetworksMeta Engineering (AI) · researchAt the 2026 Open Compute Project Global Summit, Meta is sharing the next generation of open networking infrastructure, including: Our first liquid-cooled network rack (IcePack), and 102.4T switch platform (IceCube). Flattened Planar Fabric (FPF), a multiplane backend scale-out fa
- Turning Opportunistic AI Inference Capacity Into Better Ads RecommendationsMeta Engineering (AI) · researchAt Meta, we’ve built a system that enhances ads recommendations by leveraging idle inference capacity in our fleet. Two elasticity levers in the system allow ads recommendation work to expand across opportunistic capacity, without compromising baseline performance. This post desc
- Bringing Private Processing to Meta AI GlassesMeta Engineering (AI) · researchWe believe glasses are the best form factor for having AI help throughout your day. They can understand your personal context better than other kinds of devices and keep you present without picking up a mobile phone. Most of the time, glasses are helping you see well, protecting
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