A developer's project to build a vintage large language model from scratch sparked debate after they admitted to using AI tools to write portions of the code. While critics argued this undermined the DIY premise, the author defended the work by emphasizing the extensive manual effort required for data preprocessing and cleaning messy, multilingual datasets. The discussion highlights the shifting boundaries of modern software development, as programmers increasingly rely on AI assistants for boilerplate code while focusing their personal efforts on data curation and high-level architecture.