Multimodal, Video, Speech, Embodied, and Physical-AI Advances

Multimodal research continues to expose capability-reliability trade-offs, from RoboJEPA and Long-WAM to mixed-modality retrieval failures. AWS's open physical-AI stack adds a practical path spanning simulation, synthetic data, ROS 2, LeRobot/ONNX, edge deployment, and feedback loops, but vendor acceleration claims lack independent metrics; Perplexity embeddings and Qwen Image 2.1 Turbo likewise need broader validation.