You might be right. I was surprised LLMs where not phased by the white-space programming, which, I vaguely recall, melted my mind a little when first I encounte

You might be right. I was surprised LLMs where not phased by the white-space programming, which, I vaguely recall, melted my mind a little when first I encountered it. On the other hand, LLMs don't really see the white space. They don't see or speak natural language, either. They only see and speak in tokens. A list of numbers. A tokenizer model then converts those numbers to text. I also assume that assembly would not be strongly represented in the data sets used for training, so that test wouldn't prove much. Interesting to think about, anyway.