This commentary discusses the nature of reversible and irreversible questions, using these distinctions to analyze GPT-3, a third-generation autoregressive language model. The authors introduce GPT-3 and present three tests—mathematical, semantic, and ethical—to demonstrate that GPT-3 is not designed to pass any of them. They argue that GPT-3 does not exhibit the characteristics of general artificial intelligence and that interpretations of it as such are unfounded. The commentary concludes by outlining the significant consequences of the industrialization of automatic and cheap production of semantic artifacts, including the potential for mass production of high-quality texts and the challenges this poses for various industries and society. The authors emphasize the need for critical thinking and responsible use of AI to address these challenges.This commentary discusses the nature of reversible and irreversible questions, using these distinctions to analyze GPT-3, a third-generation autoregressive language model. The authors introduce GPT-3 and present three tests—mathematical, semantic, and ethical—to demonstrate that GPT-3 is not designed to pass any of them. They argue that GPT-3 does not exhibit the characteristics of general artificial intelligence and that interpretations of it as such are unfounded. The commentary concludes by outlining the significant consequences of the industrialization of automatic and cheap production of semantic artifacts, including the potential for mass production of high-quality texts and the challenges this poses for various industries and society. The authors emphasize the need for critical thinking and responsible use of AI to address these challenges.