AI Measurement: Can We Trust AI's Own Scores?

Discover the critical challenge of AI measurement when labs grade their own models. Zihan Wang's initiative builds open, reproducible benchmarks to ensure trust and accountability in AI development, offering a neutral ruler for true progress.