AI Reasoning May Be Right for Wrong Reasons

A new study suggests large language models often arrive at correct answers through flawed reasoning, not genuine logic. Researchers tested models on puzzles and found they rely on pattern matching rather than causal understanding. The findings raise questions about the reliability of AI in critical applications.