Meta's FAIR (Facebook AI Research) team has released five new open-source AI tools aimed at advancing machine perception and intelligence. Among the key releases is the Perception Encoder, a large-scale vision model that performs across multiple vision tasks involving images and videos, trained with a contrastive vision-language objective. Another notable release is the Perception Language Model (PLM), an open and reproducible vision-language framework designed to address complex visual recognition challenges. Additional tools include Locate-3D, a self-supervised 3D perception model trained with Joint Embedding Predictive Architecture (JEPA), and BLT, a byte-level Transformer model. These developments are intended to enhance AI systems' capabilities in visual understanding, 3D perception, and collaborative reasoning, pushing toward more human-like or superior machine intelligence.