Research
120d agoEvaluation Bottlenecks Slow AI Development
Evaluating large models now requires more resources than the training itself. Hugging Face notes that static benchmarks fail as models memorize test sets. This creates a critical gap in measuring true intelligence.
The Signal
Researchers must now build dynamic, costly evaluation pipelines to prevent model collapse and ensure reliable performance gains for practitioners.