[8eye]

The misunderstanding the user comes down to understanding how the user prompts and what type of responses the user gets in return. I’m wondering if for anything code the llm could have an interrupter that it would first read what the user wrote and translate it to proper sentence structure and the return a truer value. I think the llm is having an understanding issue because everyone has a unique signature in how they explain something. That signature operates like a personal language of the user as to which most of us will run through different scenarios to come up with a conclusion from our personal signature/language in which we conduct ourselves. And since llms are gamed to get to the answer faster using less tokens it probably picks the average high level signature that can be used for multiple users.