Five LLMs Fail Monty Hall Variants

Researchers tested five large language models across six versions of the Monty Hall puzzle, finding that models consistently failed when the host's rule changed. While models answered correctly 81% to 100% of the time for the classic version, accuracy dropped to 0.0% for the 3B model on variants where switching loses every single time.