Optimizing for Human Wisdom

I’ve been thinking about this thread a lot, specifically this bit: As far as I can tell the answer is something like LLMs are smart but not wise; they don’t induce that many of those “Aha!” moments that seem to be best mined through other means (or often, just doing nothing and pondering stuff on walks) These days, most of my “coding” work happens by me steering agents, and these agents are generally very good at making progress once I’ve framed the problem. But (as I’ve written about in the past) delegating the implementation work means I no longer get the automatic, prolonged immersion that used to create opportunities for the kind of aha moment described in the thread. Moments where you realized: I’ve been trying to solve the wrong problem our customers don’t actually care about this we tried something similar a few years ago and never encoded that understanding into the codebase and so on… In other words, agentic coding isn’t especially good at producing these moments, but they’re…