The article proposes a new evaluation framework for generative AI that incorporates diverse human perspectives, moving away from traditional monolithic benchmarks. It highlights the need for dynamic regulatory mechanisms to maintain evaluative consistency over time, suggesting a shift towards more adaptive AI assessment methods.