The article discusses the carbon costs associated with training large language models in machine learning, such as Llama 1 and GPT-3. It highlights that while AI is revolutionizing various industries, it comes at a significant environmental cost due to high energy consumption during model training. The author also compares the carbon footprint of generative models like ChatGPT with other forms of entertainment, suggesting that their popularity might justify their energy usage. Furthermore, the article emphasizes the need for transparency from AI companies regarding their environmental impact and calls for collaborative efforts to minimize these costs.