> We do this to give contributors a chance to learn in a low-stakes scenario that nevertheless has real impact they can be proud of, where we can help shepherd them along the process. This educational and community-building effort is wasted on ephemeral AI agents.

I really like that stance. I’m a big advocate of “Train by do.” It’s basically the story of my career.

And in the next paragraph, they mention a problem that I often need to manually mitigate, when using LLM-supplied software: it was sort of a “quick fix,” that may not have aged well.

The Ars Technica thing is probably going to cause them a lot of damage, and make big ripples. That’s pretty shocking, to me.