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Change One Monty Hall Rule and Five LLMs Still Say Switch

Five large language models tested on a modified Monty Hall problem answered correctly only about 33% of the time, even when prompted with step-by-step reasoning, according to a Towards Data Science report. One model quoted the host's rule correctly and then ignored it in its answer. The results indicate that changing a single rule of the classic probability puzzle still leaves the models saying switch.

read1 min views3 publishedNov 8, 2026
Change One Monty Hall Rule and Five LLMs Still Say Switch
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Even with step-by-step reasoning, the models landed near 33% accuracy, and one quoted the host's rule correctly before ignoring it. The post Change One Monty Hall Rule and Five LLMs Still Say Switch appeared first on Towards Data Science.

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