The article recounts a bug encountered while using PyTorch, where a GPU kernel issue on Apple Silicon caused a training loss to plateau unexpectedly. The author details the investigative process of identifying the bug, which involved understanding PyTorch internals and debugging steps that illuminate the framework's complexity. This experience ultimately provided a deeper understanding of PyTorch than years of regular use.