In the 1960s, George Fuechsel's "garbage in, garbage out" emphasised computers' need on correct data. Despite progress, data scientists frequently struggle with real-world data unpredictability. Large language models now provide approximate guesses rather than predictable replies, which presents difficulties in reasoning and software development. The constraints of these paradigms may result in fragmented, customised software systems.