The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning

Henry Han, Xiyang Liu, Xiaodong Wang +2

Neural scaling laws provide a predictable recipe for AI advancement: reducing numerical precision should linearly improve computational efficiency and energy profile ($E \propto \m…