The document provides a factual overview of the sizes and training data of various large language models (LLMs) from GPT-2 to Llama-4, emphasizing the evolution of model parameters and the challenges associated with training these models. It highlights the shift from purely text continuation engines to models designed for specific roles, such as AI chatbots, and discusses the implications of this trend on the intelligence and capabilities of LLMs. Additionally, it notes the increasing complexity and ethical concerns surrounding the datasets used for training these models.