As Benchmarks Saturate, Measure Real-World Impact Like Diseases Cured
c_valenzuelab · x · 2026-08-03
As existing AI benchmarks trend toward saturation, a new perspective suggests we should create benchmarks that measure real-world impact.
When releasing a new model, it should come with metrics detailing its actual contributions, such as the number of diseases cured, new math problems solved, scientific discoveries made, new materials invented, and Nobel prize nominations.
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