More human data and compute yield predictable, proportional gains in human simulation accuracy, mirroring LLM scaling laws.

Scaling laws are empirical relationships observed for particular architectures, objectives, and datasets, not laws of physics, meaning changing any one of those factors produces a different scaling curve.

“Scaling laws are not laws of physics. They're simply empirical relationships observed for particular architectures, objectives, data sets, etc. Change any one of those factors and you get a different scaling curve.”