Human effort as a proposed missing parameter in AI scaling laws

A user proposes adding “H”—the human effort and time used to produce learning signals—to AI scaling laws. They argue that recent gains owe more to scaling that effort than model size or data, pointing to instruction tuning, human feedback and demonstrations for coding and math tasks. They suggest self-improvement with true generalization could reduce AI’s dependence on human effort.