Post by @stefano
Another step closer to release!
The official website is now live at https://littlefedi.org/ with documentation and project details.
Take a look and let me know what you think!
@adam@toots.adamu.jp the about page says:
In a period where it is fashionable to boast about the dozens of AI agents doing things on your behalf, we are the Little Computer People.
We are people who love doing things with our computer, who treat it as an instrument of creativity, of expression, of life. Of friendship, of play, of letting off steam, of sharing.
This is the message the team wants to send to the world. And I think it's self explanatory.
@stefano I did read that, but I don't think it's explicit, hence the FAQ suggestion. I know it seems obvious, but better to state it in the clear. My ¥2 anyway 🙃
@adam@toots.adamu.jp thanks for the suggestion! The team was more oriented towards a positive approach, which is the same I usually have at BSD Cafe. Pro, not against. So saying they’re enjoying programming is a positive message. Saying “no AI here” is something different, even if the message itself is clearer. I’ll try to talk to them.
@stefano well, I've asked the question in a roundabout way. See if you get asked it often enough for it to become frequent 😆
@adam@toots.adamu.jp Of course! Your question is completely valid and makes total sense. Since I'm not the only person involved, I have the thankless task of having to explain and convince the decision-makers, whether I agree or not.
@stefano
I've received quite a few questions about the use of AI in and around #littleFedi.
So, after discussing it within the team, we've decided to update the FAQ and make our position clear.
It probably won't come as much of a surprise to those who already know me and the projects I work on. But littleFedi is reaching people who don't know me, or us, and I think it's fair to explain where we stand rather than assume they already know.
The short version: littleFedi doesn't use AI. No ranking models, no recommendation engines, no language models deciding what you see.
The longer answer, including how I approach LLMs and code contributions, is now in the FAQ: