"AI Prompt Engineering" is just learning how to use a model, and it will be a thing until AIs learn to literally learn our mind. Even if the system adds a laye

"AI Prompt Engineering" is just learning how to use a model, and it will be a thing until AIs learn to literally learn our mind. Even if the system adds a layer with "autotuned prompts" as the article calls them, some prompts will inevitably work better than others, and some models will have to be "spoken to" in a certain way or use certain keywords to make it work in a specific way, but that knowledge may not work with all models. For example, recently I've discovered that adding "no yappin" at the end of the prompt makes ChatGPT 4 go directly to the interesting part, but if I use it on another model it could do nothing, or maybe it gets confused and starts spouting garbage, or it may get pissy and scold me for being rude. This might come off as a joke, but I don't doubt at all that it will soon be reality, as different models will have different "personalities". This term is not to be taken literally, but it gets close enough to the idea of representing the internal workings of a LLM. Little tricks and hacks, like going as far as bribing or threatening the LLM to get a better or specific kind of output, mostly model-specific. The future will be interesting for sure.