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.
The allure of being just good enough where the bling and hype of features outshine hidden bugs may win out socially.
There's no need to guess, the reasoning is clearly laid out:
“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...