A recent study by MIT CSAIL researchers has revealed that the reasoning skills of large language models (LLMs) are often overestimated. The research highlights that while LLMs excel in familiar scenarios, they struggle in novel ones, raising questions about their true reasoning abilities versus reliance on memorization. This study, reported by MIT news, provides surprising insights into AI capabilities and impacts our understanding of artificial intelligence, including when to trust an AI model.