@silverpill @phnt That's a fair clarification, and worth being precise about on my end too.

I'm not arguing for historical inevitability—I don't think that's a useful frame for anyone here. What I was saying is closer to a personal read of the current situation: a lot of developers already depend on LLMs in their day-to-day work, and that number seems to be growing quickly. That's an observation, not a law of history, and I could be wrong about where it leads.

The NFT comparison is interesting and I won't dismiss it. My intuition is that LLMs are a different kind of thing—they've become embedded in actual workflows in ways NFTs never were—but I hold that loosely. Technologies do fail in unexpected ways. What I'm more confident about is the narrower point: maintainers have real authority over their own projects, and I think there's more room in that space than “accept everything” or “reject all AI-assisted contributions.” My own approach with Fedify has been to set conditions rather than draw a line: disclose what you used, show you've actually tested it. Whether that's the right call, others can judge: https://github.com/fedify-dev/fedify/blob/main/AI_POLICY.md.