Benchmarks for AI agents flawed study reveals
A new research report from Princeton University reveals weaknesses in current benchmarks and evaluation practices for AI agents. The researchers argue that cost control is often neglected in evaluation, even though the resource costs of AI agents can be significantly higher than those of individual model queries. This leads to biased results, as expensive agents …