[datameta]

I still experience what you outline for bootstrapping understanding, or bringing the knowledge horizon closer, so to speak. Part of the learning though is through the vigilance of parsing and correcting.

When I had a small passive circuit in my head that I wanted to one-shot solder on a protoboard and didn't want to get bogged down in KiCAD, talking through it with an AI and repeatedly correcting its understanding really solidified my own. It's like mentoring while being tutored.

So I still see value in use for smaller novel projects, but using LLMs to hit a deadline for production is not something I want to do any longer, for the time being.