Researchers introduced ArchitectureIQ, a benchmark to measure the intuition of large language models (LLMs) and humans in model training. They found that LLMs have good but imperfect intuition, which is empirical, not structured, and can be compressed into a knowledge base. This study highlights the importance of understanding model training and data properties in AI development.