Artificial Psychology
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The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition. To explore this potential, the book develops a thought experiment called the Prediction Room, a reference to John Searle’s influential Chinese Room argument, in which a human agent processes language by following a
Our Review
This timely exploration of predictive large language models moves beyond the typical debates about their practical applications to examine what these AI systems reveal about the nature of human thought itself. Clayton Lewis constructs a compelling thought experiment called the Prediction Room, directly engaging with philosophical arguments about consciousness and intelligence while analyzing what GPT-3 and ChatGPT actually demonstrate about cognition. The book effectively bridges computer science and psychology, offering readers a framework to understand why these language models matter beyond their immediate utility.
What sets this work apart is its refusal to settle for either uncritical enthusiasm or dismissive skepticism about artificial intelligence, instead providing the conceptual tools to think more deeply about what intelligence means. Readers interested in the philosophy of mind, cognitive science, and the future of AI will find particularly valuable insights in how Lewis recontextualizes classic thought experiments for the age of machine learning. The result is a thought-provoking contribution that challenges both AI researchers and psychology enthusiasts to reconsider the boundaries between human and artificial cognition.
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