here are the main pet peeves I have with OpenAI’s chatgpt:
- no reference list. You need chatgpt to give annotated references for books/magazines/etc for the sources that resemble the question that has been asked
- no empirical/skeptical mindset. You need to build in a scientific mindset to chatgpt, with the ability for it to cross-check references on the answers that it gives, and build in - at a very low level - the scientific method into the way that it views the world.
- you need to use mathematical and scientific software to generate thousands of datapoints for questions that are directly related to how the world functions to better tune its scientific understanding.
- you need to be able to turn chatgpt around, so that a teacher/professor can give it questions and its goal is to be an interface that asks students followup questions to record their understanding of the material.
#1 and #2 and #3 are crucial for reliability of the answers given and ground the results that chatgpt gives back to reality, and #4 is necessary to prevent it from being used as tool to spread ignorance by widespread plagiarism. In essence, it turns the plagiarism issue on its head, providing educators a way to use AI as a tool to foster new knowledge rather than as a tool for students to game the system.