Benchmarking AI systems has become a high-stakes exercise. Teams need comparable scores, but methodology often varies in ways that are hard to see from a leaderboard alone.
This feature explores how a more scientific approach—clear datasets, documented prompts, and open evaluation pipelines—could make progress easier to trust.