[wizzwizz4]

Marcus Müller gives a good explanation in a comment (CC BY-SA 4.0) on Stack Exchange: https://dsp.stackexchange.com/posts/comments/204371

> [The] problem is that the sole medium of transport here for the intent of what the user wanted the language model to write and what we see is the output of the language model. And that in itself is a bit of a problem: had we hand-written code, we could look at what it tries to do; it would have suggestive names, maybe even comments, stemming from the user's original intent, and not from an LLM's interpretation of what the user told it was their intent. Basically, LLMs are intent-obfuscating machines for engineering problems :)