Revisiting a 1978 critique of natural language programming, a recent discussion debates whether AI models function as modern compilers or simply replace human software developers. Critics argue that unlike traditional compilers that precisely preserve formal semantics, AI translation of natural language is inherently ambiguous and can yield multiple interpretations. Ultimately, the thread highlights that both human engineers and AI require highly detailed, iterative communication to accurately transform vague specifications into functional code.