Most of the prompt engineering advice on LinkedIn and Twitter is counterproductive?

Just read this medium piece by Aakash Gupta, he goes through 1,500 academic papers on prompt engineering and makes a pretty strong case that a lot of the stuff we see on linkedin and twitter about it is totally off base, especially when u look at companies actually scaling to $50M+ ARR. the core idea is that most prompt advice comes from old, less capable models or just gut feelings, while academic research is way rigorous. Gupta breaks down six myths that stuck out to me: Myth 1: Longer, Detailed Prompts = Better Results. This is the big one.