Writing Lisp Is AI Resistant and I'm Sad
The article discusses the author's disappointment that Lisp, a programming language known for its flexibility and expressiveness, is not well-suited for modern AI and machine learning tasks.
Why it matters
This article highlights the challenges of adapting older, more expressive programming languages to the demands of modern AI development.
Key Points
- 1Lisp is a powerful programming language that is highly expressive and flexible
- 2However, Lisp is not well-suited for modern AI and machine learning tasks
- 3The author is saddened by the lack of progress in making Lisp more accessible for AI development
Details
The author, a long-time Lisp programmer, expresses disappointment that the language is not more widely adopted for AI and machine learning tasks. Lisp is known for its powerful macro system, which allows for the creation of domain-specific languages and the ability to extend the language itself. This flexibility and expressiveness was once seen as a key advantage for AI development. However, the author notes that modern AI and machine learning techniques, such as deep learning, have gravitated towards other languages like Python and TensorFlow, which are better suited for the numerical and matrix-based computations required. The author laments the lack of progress in making Lisp more accessible and attractive for AI researchers and practitioners.
No comments yet
Be the first to comment