Can chatbots craft correct code?

The article argues that while AI language models (LLMs, systems trained on large amounts of text to generate responses) and traditional programming languages both increase abstraction, they differ fundamentally in a critical way: compilers are deterministic (they reliably produce the same output every time), while LLMs are nondeterministic (they produce different outputs for the same input). This matters for software security and correctness because compilers preserve the programmer's intended meaning through the translation process, but LLMs cannot guarantee they will generate code that does what you actually need.