AI Relies on Human-Expertise and Instructions
Over the weekend, I was listening to the Lex Fridman podcast, where he interviews Demis Hassabis. One of the things that resonated with me is when Demis says that (and I am paraphrasing),
“[AI] is very good [at a certain task] if you give them a very specific instruction, but if you give them a very vague and high-level instruction that wouldn’t work currently…”
Demis further explains how it is important to be hyper-specific in your instruction and what you want from your AI. For instance, if you instruct or prompt the AI to create a game like, let’s say, “Call of Duty” or “Go”, it wouldn’t be able to understand your goal. Meaning, it wouldn’t know how to narrow down the instructions, because there are so many dimensions or features that these two games have. Eventually, the AI will create a subpar version of your game.
Similarly, when creating products, it is essential to be extremely specific about your requirements. This authority or hyperspecific instruction will only come if you conduct qualitative research, study, and understand the subject and goal thoroughly.
