Benchmarking has become the industry norm for how AI companies validate their models’ capabilities and, when the metrics swing in their favor, stand out from competitors and advertise their superiority. In other words, good benchmarks pretty much always mean good PR.
Unfortunately, companies have also figured out how to outwit legacy benchmarking systems — many of which are older, and not built to measure the capabilities of modern models.