Research
155d agoScaling Laws Directly Predict Downstream Accuracy
Apple’s new research shows that a simple power‑law relationship can predict how large language models perform on real‑world tasks, moving beyond proxy metrics. By tying training budgets directly to downstream accuracy, the study offers a clearer roadmap for scaling decisions worldwide.
The Signal
The findings could streamline resource allocation for AI labs, universities, and industry partners.