Discussion
What is the role of benchmarks in artificial intelligence research?
Answer: A
A shared benchmark makes results comparable and progress measurable, which has driven much of the field's advance, but a method that tops a benchmark has been shown to do exactly that and no more. Overfitting to a benchmark through repeated use is a recognised hazard. Theoretical limits come from analysis rather than from measurement. A measure that becomes a target ceases to be a good measure, and the field has learned that lesson repeatedly.
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