I am seeing AI used in _ways_ that it shouldn't be. More specifically, ways that I believe decrease efficiency and quality rather than improve them. So many pe

I am seeing AI used in _ways_ that it shouldn't be. More specifically, ways that I believe decrease efficiency and quality rather than improve them. So many people seem to want to be able to want to contort themselves with prompt "optimizations" to try to get models to do exactly what they want. They think if they can just throw a good-enough prompt into this black box it'll miraculously write entire applications for them or do whatever else they want. I believe this is a misguided overcorrection. Instead, I think we should strive to use AI to _extend_ (and eventually even build) our non-AI tooling rather than replace it. GPT-4 is not a reliable magic box that will solve all your problems - but it is a powerful way to enhance your existing brain power _and_ other tools. We can likewise build tooling that will help us offload more work to AI (e.g., develop systems that analyze AI output and reflect on themselves). We can build systems that clarify and break instructions down into smaller steps (some of which may involve AI queries and others not). But to spend hours trying to tweak the perfect prompt to get just the right kind of usable output from GPT-4, just so you don't have to open a spreadsheet or write your own code? We're wasting time insetad of saving it.