Traditionally, most AI labs and companies develop in batch mode, relying on pre-collected or synthetic datasets and launching model updates only a handful of times per year. Cursor flipped the script by integrating near real-time RL (Reinforcement Learning) feedback directly into a closed-loop lifecycle. With every developer keystroke, suggestion acceptance,

The GPT-5 launch has been, well, tumultuous, to say the least. For this article I'm going to mostly park the launch controversies and focus on the features that push the frontier of AI but aren't so big and sexy. These aren’t the kind of headline