Can Machines Think? Revisiting Turing's Imitation Game in the Age of GPT

This paper revisits Alan Turing’s seminal question, “Can machines think?”, within the context of contemporary large language models such as GPT. It examines the philosophical and computational implications of Turing’s Imitation Game, exploring how generative AI reshapes the boundaries of intelligence, understanding, and creativity. By bridging Turing’s 1950 framework with 21st-century machine learning architectures, the study evaluates whether modern AI exhibits genuine cognition or advanced linguistic simulation.