How an artificial intelligence (as in large language model based generative AI) could be better for information access and retrieval than an encyclopedia with a clean classification model and a search engine?
If we add a step of processing – where a genAI “digests” perfectly structured data and tries, as bad as it can, to regurgitate things it doesn’t understand – aren’t we just adding noise?
I’m talking about the specific use-case of “draw me a picture explaining how a pressure regulator works”, or “can you explain to me how to code a recursive pattern matching algorithm, please”.
I also understand how it can help people who do not want or cannot make the effort to learn an encyclopedia’s classification plan, or how a search engine’s syntax work.
But on a fundamental level, aren’t we just adding an incontrolable step of noise injection in a decent time-tested information flow?
If it actually worked reliably enough, it would be like having a dedicated, knowledgeable, and infinitely patient tutor that you can ask questions to and interactively explore a subject with who can adapt their explanations specifically to your way of thinking. i.e. it would understand not just the subject matter but also you. That would help facilitate knowledge transfer and could reduce the tedium of trying to make sense of something that’s not explained well enough for you to understand (as written) with your current background knowledge but which you are capable of understanding.