Cuttlefish on Mac: Running Android's Virtual Device Framework Natively on Apple Silicon #Android #Virtualization #OpenSource
Intelligent Delivery: Making Every Unit of Compute Serve Better Ads #MachineLearning #ArtificialIntelligence #Tech
Your Algorithm: Giving People More Ways to Personalize Facebook Recommendations #MachineLearning #ArtificialIntelligence #Algorithms
How We Built TLX: A Hardware-Native GPU Compiler for Production ML at Scale #MachineLearning #OpenSource #Compiler
Extending LLDB to Debug Applications That Span CPUs and GPUs #SoftwareEngineering #ArtificialIntelligence #OpenSource
F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale #MachineLearning #Engineering #OpenSource
Catching Bugs Before They Land: JiTTesting's Human-on-the-Loop Approach at Full Scale #Security #ArtificialIntelligence #SoftwareEngineering
Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design #MachineLearning #Infrastructure #OpenSource
PrivacyLib: Privacy Controls at the Data Access Boundary #Security #Privacy #Engineering
Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape #Python #ArtificialIntelligence #DevInfra
Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks
GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary #MachineLearning #AdsTech #OpenSource
The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do #AI #MachineLearning #Systems
Inside Prometheus: Meta's Journey to a Gigawatt-Scale Supercluster #Infrastructure #DataCenter #OpenSource
How Meta Built Forum With AI-Native Engineering #AI #OpenSource #Engineering
2026 World Cup: Breaking Records, Spiky Charts and Reliability at Scale #Tech #Scale #Events
Sapienz Receives ISSTA 2026 Impact Paper Award #Engineering #OpenSource #Research
Meta's Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI #AI #MachineLearning #OpenSource
OCP Summit 2026: Powering AI with Open Innovations in Scale-Up, Scale-Out, and Scale-Across Networks #OpenSource #AI #Networking
Shipping Media Over QUIC at Meta Scale for Instagram Live Ingest #Networking #Video #OpenSource
Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations #AI #MachineLearning #AdsTech
NTS: Authenticated Time at Meta #Engineering #OpenSource #Networking
Bringing Private Processing to Meta AI Glasses #AI #Privacy #OpenSource
Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems #OpenSource #Algorithms #SoftwareEngineering
Inside Petal: Building the World's First Petabit-Class Transoceanic Subsea Cable
ZGateway: Learnings from Putting a Proxy in Front of ZippyDB #CoreInfra #DistributedSystems #Database
An Organizational Second Brain: Building an AI That Learns From Experts #AI #MachineLearning #OpenSource
MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet #AI #Networking #OpenSource
MTIA 300: Meta's First Training Chip with Built-in NICs and Communication-Offloading Engines #AI #Hardware #OpenSource
How We're Building Scam Alert on WhatsApp With End-to-End Encryption and Verifiability Guarantees #Security #Privacy #OpenSource
From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta's Ads Ranking #MachineLearning #DataScience #SystemDesign
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model #AI #MachineLearning #OpenSource
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization #AI #MachineLearning #AdsTech
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler #OpenSource #Kernel #AdsTech
Meta's AI Storage Blueprint at Scale #AI #Storage #DataInfrastructure
10 Years of Meta's Commitment to Python #Python #OpenSource #Engineering
Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study #AI #Privacy #Infrastructure
How Meta Engineered Ultra-Narrow Batteries for AI Glasses #AI #Hardware #Engineering