Apple has released MLX, a machine learning framework, and MLX Data, a deep learning model library, both designed to run efficiently on Apple Silicon. These open-source tools are accessible via GitHub and PyPI and are inspired by frameworks like PyTorch, Jax, and ArrayFire. MLX features shared memory for tasks on supported devices without data movement. MLX Data, highlighted by Apple researcher Awni Hannun, is a flexible package for data loading compatible with MLX and other frameworks. This move signals Apple's increasing involvement in AI, despite its traditionally conservative approach and avoidance of the term 'AI' in keynotes.