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    1. Large language models are trained unevenly across languages

      This was an item that came up in a class discussion. While working on a project with the explicit goal of testing AI's independent research capabilities regarding NP-Complete problems in Computer Science, the model had found a useful paper in Japanese. However, while the group had verified that the original paper was accurate and useful, the AI had mistranslated an algorithm utilized in the paper, which was a critical error in the context of the project.

    1. Informative headings: use descriptive, specific phrasing that summarizes the section (“Cooling System Operating Requirements” rather than a generic label like “Section 3”). These are sometimes referred to as descriptive headings. Functional headings, in contrast, are things like “Introduction.”

      The area were I am continually shocked that this advice is not used is legal documents. I honestly cannot say that I have seen a legal document use any form of descriptive header in its body text. While I understand that there are historical conventions at play, it still feels dated.

    1. It’s not X; it’s Y

      Now that some time has passed after initially reading this chapter, this is the point I keep thinking back to. I see this pattern EVERYWHERE. This was even the clue that gave away that a new "textbook" my professor has been using and collecting feedback on was very likely AI-generated.

      I have to wonder why AI is insistent on including this pattern, when it conveys so little information.