Comment by Dylan16807

Avoiding "benchmaxxing" helps keep benchmarks be a good quantitative way to compare models! It's hard to come up with new benchmarks, and it's a waste of everyone's time if we have to churn through them constantly. Effort to keep AI labs working on general skills and not "teaching to the test" is effort well spent.