AI Benchmarks: Climbing the Wrong Hills

Published 21 October 2026

Benchmarks increasingly shape model training and evaluation, but poorly designed tests can encourage benchmaxxing instead of meaningful capability gains. Reliable evaluation requires measuring the progress AI systems are actually meant to make.