The Lisp Paradox: Why AI Models Struggle with Symbolic Programming

Modern AI assistants excel at writing Python but struggle with Lisp, exposing critical limitations rooted in training data biases. This language disparity reveals how non-mainstream programming languages may become marginalized as AI-assisted development proliferates. As AI-driven coding becomes standard practice, it raises urgent questions about ecosystem consolidation and the long-term viability of niche languages.