The article discusses a challenging bug encountered while using PyTorch, which caused training loss to plateau due to a GPU kernel issue on the Apple Silicon MPS backend. After extensive debugging and investigation, the author uncovered the underlying problem related to non-contiguous memory layouts, ultimately leading to insights about PyTorch internals and the importance of understanding framework details in troubleshooting. The article serves as a guide for others who may face similar issues, offering a thorough walkthrough of the debugging process.