What is RLCD and how does it differ from RLHF and RLVR?

RHF is about a northstar: instruction following. DPO and all its descendants still pursue that same northstar. RLVR added a new direction: optimizing on benchmarks, tasks with programmatically verifiable outputs. RLCD is our new northstar: making models reliable for programmatic use. It is not about the algorithm. It is about the task. The task shapes everything. Each of those training directions has a distinct data shape, a distinct kind of behavior it surfaces. For us the task is calibrated decisions for software. That is what RLCD means.