A recent study tested seven large language models, including those behind ChatGPT, on cognitive psychology tests to gauge their reasoning capacity. The results showed that despite their advanced capabilities, these AI systems struggled with consistent reasoning and made simple errors. They provided varying responses to the same question, made basic mistakes like addition errors, and mistook consonants for vowels. The study highlighted the importance of understanding how these models think before entrusting them with decision-making tasks, and raised questions about whether their limitations and biases could lead to potential pitfalls.