This commentary discusses the nature of reversible and irreversible questions and analyzes GPT-3, a third-generation language model that uses deep learning to generate human-like text. The authors argue that GPT-3 is not designed to pass the Turing Test or other tests involving mathematical, semantic, or ethical reasoning. They emphasize that GPT-3 does not possess true intelligence, consciousness, or understanding, and that its ability to produce human-like text does not equate to general artificial intelligence. The authors also highlight the significant consequences of the increasing automation of semantic artifact production, including the potential for confusion in distinguishing human and artificial sources, the rise of semantic garbage, and the impact on journalism, advertising, and fake news. They conclude that while GPT-3 is an impressive technological achievement, it lacks the intelligence and awareness of a human, and that the development of AI requires careful consideration of its ethical and societal implications. The authors call for a more critical and intelligent approach to AI, emphasizing the need for responsible use and regulation of AI technologies.This commentary discusses the nature of reversible and irreversible questions and analyzes GPT-3, a third-generation language model that uses deep learning to generate human-like text. The authors argue that GPT-3 is not designed to pass the Turing Test or other tests involving mathematical, semantic, or ethical reasoning. They emphasize that GPT-3 does not possess true intelligence, consciousness, or understanding, and that its ability to produce human-like text does not equate to general artificial intelligence. The authors also highlight the significant consequences of the increasing automation of semantic artifact production, including the potential for confusion in distinguishing human and artificial sources, the rise of semantic garbage, and the impact on journalism, advertising, and fake news. They conclude that while GPT-3 is an impressive technological achievement, it lacks the intelligence and awareness of a human, and that the development of AI requires careful consideration of its ethical and societal implications. The authors call for a more critical and intelligent approach to AI, emphasizing the need for responsible use and regulation of AI technologies.