Researchers at Apple present a new framework that directly models how benchmark accuracy scales with training budget for LLM systems. By moving beyond proxy loss metrics, the study shows a simple power‑law relationship that predicts downstream task performance across multiple benchmarks.
The Signal
This insight could streamline global AI research, enabling faster, more efficient model development worldwide.