It’s disturbing if professionals and students are trying to use AI to avoid hard thinking, as this duo of articles suggests. Ideally, at least in the near to medium term, we need to be doing the opposite. Using AI to perform mundane, repetitive, or just plain frustrating tasks that take up a lot of our time but don’t require deep thinking. Figure out coding syntax is an example, or which of the 99 drop down windows and dialog boxes in Microsoft Word will fix the frustrating formatting problem. (Actually, these last two things are kind of the same as you think about it, just two different ways of accessing a complicated menu of options and trying to communicate with a computer in its version of logic.) If AI can free us from these time wasters, we can have more time for deep thinking and creative thinking. I’m not saying this is the general trend, but this is my personal goal for how I am using AI. For now, I want it to help me do something I could have done myself faster or better. Asking it to think for me would be like asking another person to eat, exercise, or poop for me – I won’t gain any benefits from that.

I’ve been trying to use CoPilot to help me debug a simple stock and flow model. It can’t. It gives me sophisticated-sounding answers that do not even come close to working in the software I am playing with (Vensim PLE in this case).