In the end there was still just too much cultural and historical context missing

This was my first thought when seeing the project. How well do we expect LLMs to work for text where words often don't have their normal meaning, half the things shouldn't be taken literally, and we have lots of contradictions? This feels like it should have way more warnings than ChatGPT itself.