Apple MLX 1.0 + MLX-LM: on-device LLM inference on Apple Silicon — privacy-preserving creators get a real framework

Apple MLX 1.0 framework GA + MLX-LM Python package for on-device LLM inference on Apple Silicon, with the unified memory model that lets MLX share GPU and CPU memory. MLX-LM provides a familiar transformers-style API for loading, quantizing, and running open-weight LLMs entirely on-device, with no cloud round-trip. Together they form an on-device inference stack that matters for creators with privacy-sensitive workflows (medical notes, legal drafts, personal journaling) and for offline-capable creators (mobile, field, air-gapped).