Atlas · GenAI 2026
Benchmark Analysis
Critical analysis of benchmarks
conceptPeak: 2024BenchmarkingAI consensus: 1/3
Prerequisites
- hardModel Evaluation
You cannot critically assess whether MMLU or HumanEval scores are meaningful without understanding what precision, recall, and statistical significance mean
Recommended reference
Liao, T. et al. (2021) 'Are We Learning Yet? A Meta-Review of Evaluation Failures Across Machine Learning' — NeurIPS; essential reading on benchmark pitfalls
Notes from AI deep research
Anthropic Opus
MMLU, HumanEval, GPQA — kazdy ma ograniczenia. Czytanie miedzy wierszami benchmarkow ratuje od zlych decyzji
OpenAI Deep Research
Odróżnianie metryk proxy od realnej wartości produktu [OA#9]