AI benchmarks are broken. Here’s what we need instead.

Traditional AI benchmarks that measure performance against human abilities are fundamentally flawed and no longer adequate for evaluating modern AI systems.

The article argues that the standard approach of comparing machines to individual humans on specific tasks fails to capture what truly matters about AI capabilities and real-world impact.

New evaluation frameworks are needed that better assess practical utility and performance in actual applications.