Why AI's Next Breakthrough Depends On Measurement, Not Just Scale

Zihan Wang highlights that enterprise AI's biggest challenge is not model scale but effective measurement of trustworthiness, accuracy on specific data, and refusal to answer when uncertain. Current benchmarks like MMLU and GPQA fail to capture these real-world risks, with commercial LLMs hallucinating up to 52%, causing significant financial losses. Reliable evaluation metrics tailored to business needs are essential for safer AI deployment.