Or it might come to be that rejecting LLM-authored or LLM-assisted contributions becomes a badge of quality, and users gravitate to them to avoid buggy, inconsistent, or non-performant versions of the same software.
“Don't use an LLM tool to generate code. There's no guarantee that the training material of that LLM respects our Clean Room Guidelines, or that its output is compatible with the LGPL.”
--https://gitlab.winehq.org/wine/wine/-/wikis/Clean-Room-Guide...