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The article discusses the current state of AI development and points out the potential slowdown in progress. In recent years, artificial intelligence has gained prominence, yet the complexity of the problems it aims to solve presents certain limitations. The author highlights that despite the rapid evolution of algorithms, there are fundamental technical challenges that may hinder further advancements. Specifically, adapting models to various applications can require significant time and resources. Furthermore, increasingly stringent regulations and standards regarding data protection may also impact the pace of innovation within the AI field. The article also mentions the need for exploring new methods of analysis and computation that could expedite progress in this area.