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The source explores the current limitations and future possibilities of artificial intelligence, particularly large language models. The article discusses the rapid growth in the number of parameters used to train these models, noting that while this growth has led to impressive advancements, it is reaching a plateau where adding more parameters does not guarantee better performance. The author suggests that future progress will come from increasing the efficiency and specialization of these models. He then distinguishes between the current capabilities of AI models and the concept of Artificial General Intelligence (AGI), emphasizing the significant difference between performing specific tasks well and possessing true human-like intelligence.