Comment by kylecazar

I can see a future generation of models. For now, LLM's train on human artifacts and they handle Python/TS well because of the overwhelming amount of code they've seen, combined with the semantic labels high level languages use that they rely on for reasoning.

Also, consider token efficiency. Imagine how many tokens would be torched just translating an import statement of a popular library to its binary equivalent, let alone a big complex program