What Is RLCD? The Secret Behind Jev

> The operational signal was always relative preference. The scalar merely hid it.

Is this another Claude-ism? "X was always Y. The Z merely hid it." Or am I overcalling it?

RLCD, not defined in the article, is Reinforcement Learning for Calibrated Decisions.

Yeah the calibration is really what makes it useful in practice for quick, small decisions. Asking a LLM to give scores to a problem will yield inconsistently scaled/anchored results that changes at a whim.

The blog is pretty heavy on statistics. I'll have to study it more when I have time. Is it essentially bootstrapping results to statistically normalize the answers?

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