The Turing Test proposed by Alan Turing in 1950 aims to evaluate machine intelligence by making it difficult for humans to distinguish between machines and humans through textual communication. Recently, scientists at the University of California, San Diego, explored the ability of AI and humans to differentiate each other when reading conversation logs rather than engaging in direct communication. They designed the Inverted Turing Test and the Shifted Turing Test. The results showed that the accuracy of AI judges was lower than that of humans who participated in direct communication, and in some cases, the AI even mistakenly identified another AI as a human. This indicates that in the absence of direct communication...