AI trains AI: RL-training an agent that trains models with RL

Dan Austin built a pipeline where an agent is handed a training task, writes a full RL training job, and submits it to real GPUs. He then RL-trained the agent itself, rewarding it when the models it trained improved. Reward climbed from about 0 to 0.63 over 54 steps.