A lively debate has ignited online regarding the nature of AI errors: are they genuine mistakes or simply reflections of their programmed design? A Reddit post (linked here: [https://old.reddit.com/r/artificial/comments/1p0ycjg/the_tokenization_of_automation/]) sparked the discussion, with the author questioning whether observed limitations and perceived errors in AI models are inherently part of their architecture or deliberately engineered constraints. The conversation centers on whether AI can truly ‘err’ in a way analogous to human error, or if all deviations from expected behavior are traceable back to design choices and data inputs.