Notes on long-running LLM tasks

This blog post discusses the author's perspective on long-running tasks in LLMs (Large Language Models), contrasting the efficiency of such tasks with the benefits of incremental development. The author shares insights on how smaller, more manageable chunks can lead to better results in software development, especially when dealing with complex projects with many requirements. They argue that long-running tasks may not always be the most effective approach and highlight their preference for incremental work, emphasizing the importance of adaptability in high-stakes environments. The post concludes by reassuring readers that if they find shorter work intervals more productive, they are not alone.