Research
119d agoEvaluation Bottlenecks Slow AI Development
High-quality evaluation data now limits model iteration faster than GPU availability. Hugging Face argues that static benchmarks fail to capture emergent capabilities, forcing researchers to rely on expensive, slow human review. This shift demands a new infrastructure for dynamic evals.
The Signal
Practitioners must prioritize scalable testing frameworks to avoid development stalls.