Five Years of LLM Progress

This article likely discusses the advancements made in Large Language Models (LLMs) over the past five years. It would probably cover improvements in model size, performance on various tasks (e.g., text generation, translation, question answering), and the evolution of architectures and training techniques. The source, Hacker News, suggests a technical and potentially critical perspective, focusing on the practical implications and challenges of LLM development.