;; Example: AI-generated recursive Fibonacci function in Common Lisp (defun fibonacci (n) (if (< n 2) n (+ (fibonacci (- n 1)) (fibonacci (- n 2))))) Use code with caution. 1. Conquering the Parentheses Barrier
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compared to Python or JavaScript means LLMs have less Lisp exposure. However, the existing training data tends to be higher quality, partially compensating. Can’t copy the link right now
(defmethod initialize-instance :after ((agent agent) &key) (setf (goals agent) (list 'goal1 'goal2))) However, the existing training data tends to be
Because Lisp treats programs as data trees (ASTs), it is easier for an AI to reason about, modify, and structurally evolve Lisp code than almost any other language. When a generative AI model outputs Lisp, it is creating a script that is inherently designed to morph, optimize, and evaluate itself.
While Python dominates machine learning (ML) and neural networks, Lisp remains relevant in symbolic AI and in modern code-generation contexts, often within the Lisp family of languages (like Common Lisp or Clojure). Symbolic AI (Symbolic AI Generators)