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The article on scaling ChatGPT delves into how technological changes have impacted the performance and capabilities of this model. The author discusses key elements contributing to the development of ChatGPT, including the use of larger data sets and advanced machine learning algorithms. It emphasizes the importance of the model's architecture, which allows for better context understanding and more accurate response generation. Furthermore, the text points out the challenges associated with scaling such a large system, including issues related to developing sustainable infrastructure solutions and monitoring performance. In conclusion, the author highlights the future of ChatGPT, predicting further advancements in this technology and possible new applications across various fields. As we can see, the topic of scaling artificial intelligence is becoming increasingly relevant, especially given the growing demand for smart systems and applications that can simplify our lives.