In more detail
A benchmark is a standardized exam for AI — a fixed set of questions in math, coding, reasoning or general knowledge that every model can be scored on, so rivals can be compared fairly. New model launches always arrive brandishing benchmark results.
It matters, with one caveat: benchmarks are the closest thing AI has to objective measurement, but models can effectively cram for well-known tests — sometimes the questions even leak into training data. Treat headline scores like school grades: a real signal, never the whole student.
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