The Meta FAIR Chemistry team continues to make meaningful strides. 1️⃣ Today we’re announcing FastCSP, a workflow that generates stable crystal structures for organic molecules. This accelerates material discovery efforts and cuts down the time to design molecular crystals from months to days. Read the paper: The workflow will be available soon here:

We’re excited to introduce the Open Direct Air Capture 2025 dataset, the largest open dataset for discovering advanced materials that capture CO2 directly from the air. Developed by Meta FAIR, @GeorgiaTech, and @cusp_ai, this release enables rapid, accurate screening of carbon capture materials and can help accelerate climate solutions using AI. Explore the full dataset here:

Today Mark shared Meta’s vision for the future of personal superintelligence for everyone. Read his full letter here:

We're rapidly expanding our AI infrastructure and have adopted a novel approach of building weather-proof tents to house GPU clusters. This enables us to get new data centers online in months instead of years. 🚀 Read more in this @FastCompany article:

We’re thrilled to see our advanced ML models and EMG hardware — that transform neural signals controlling muscles at the wrist into commands that seamlessly drive computer interactions — appearing in the latest edition of @Nature. Read the story: Find more details on this work and the models on @github:

🚨 New open-source drop: The AI Alliance is now supporting Llama Stack, a modular AI application framework developed by Meta. Built for portability, developer choice, and real-world deployment. Details ⬇️ 🔗

Meta FAIR recently released the Seamless Interaction Dataset, the largest known high-quality video dataset of its kind, with: 4,000+ diverse participants 4,000+ hours of footage 65k+ interactions 5,000+ annotated samples This dataset of full-body, in-person, face-to-face interaction videos represents a crucial stepping stone to understanding and modeling how people communicate and behave when they’re together—advancing AI's ability to generate more natural conversations and human-like gestures. Download the dataset on @huggingface: Learn more about the dataset:

This week we shared an open source AI tool that will help accelerate the discovery of high-performance, low-carbon concrete. See the full story in the thread below. You can also find research artifacts for this project here: 1️⃣ Technical report with details of the model and optimization algorithm: 2️⃣ Open source SustainableConcrete repository with the associated data and code

Today Mark announced Meta's major AI compute investment. See his post:

🚀New from Meta FAIR: today we’re introducing Seamless Interaction, a research project dedicated to modeling interpersonal dynamics. The project features a family of audiovisual behavioral models, developed in collaboration with Meta’s Codec Avatars lab + Core AI lab, that render speech between two individuals into diverse, expressive full-body gestures and active listening behaviors, allowing the creation of fully embodied avatars in 2D and 3D. These models have potential to create more natural, interactive virtual agents that can engage in human-like social interactions across a variety of settings. Learn more: