The post discusses research on the evolutionary relationships and performance characteristics of large language models (LLMs). It highlights that, while the phylogenetic trees constructed display intuitive relationships among models, they do not necessarily correlate with performance outcomes. This raises questions about the effectiveness of AI detectors, which often fail to accurately assess the capabilities and outputs of these models. User comments suggest a mix of recognition of the effort involved in the research, and skepticism regarding the distinction between model evolution and practical applicability.