Meta FAIR Announces New Research Artifacts 

Meta FAIR (The Fundamental AI Research) has unveiled new research artifacts, amidst major AI announcements from OpenAI and Google, according to their blog. It includes releases in language, embodied AI, new architectures, and more.

“It’s been a big year for AI, and today at NeurIPS I’m excited to share nine new open source releases from Meta FAIR to wrap up the year — all part of our continued mission to achieve advanced machine intelligence (AMI), and I am very excited for even more to come in 2025! ” said Joelle Pineau, VP of AI research, Meta, on Linkedin. 

AI for Advanced Behaviour, Intelligence, and Vision-Language Capabilities

Meta Motivo enables virtual humanoid agents to perform complex tasks with human-like behaviours by learning from motion datasets and adapting to environmental factors. Theory-of-Mind Data provides tools and datasets designed to train AI in understanding and predicting human thoughts and beliefs, significantly advancing research in social intelligence. Memory Layers and Large Concept Models (LCM) further enhance AI’s capabilities by improving its ability to store, retrieve, and process complex information, enabling better handling of diverse languages and hierarchical reasoning. Complementing these advancements, Meta CLIP 1.2 is a vision-language model that precisely aligns image and text data, supporting critical tasks such as retrieval, classification, and multi-modal embedding.

Content and Media Generation

Meta Video Seal enhances digital content security by embedding robust, invisible watermarks in videos, ensuring they remain resistant to editing and compression. Supporting this innovation, Omni Seal Bench introduces a leaderboard for evaluating neural watermarking techniques, with plans for a dedicated workshop in 2025 to further advance the field. Additionally, Flow Matching serves as an open-source framework that facilitates the creation of high-quality images, videos, audio, and 3D structures, empowering users to generate rich and dynamic media content efficiently.

On the whole, under Meta AI chief Yann LeCun‘s leadership, the company is advancing AI with systems like Layer Skip and V-JEPA to improve reasoning and interaction, alongside self-supervised learning to ultimately AMI.