FWIW I do have my own page on FLOSS AI, cf https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence so I do believe it’s at least interesting, even important, to understand what it is.
Still, AFAIK both the electricity https://www.bloomberg.com/graphics/2024-ai-data-centers-power-grids/ and even the potential for correction https://arxiv.org/abs/2404.04125 from intrinsic properties of the dataset and learning but also as its marketed https://link.springer.com/article/10.1007/s10676-024-09775-5 today make me reiterate, AI FLOSS doesn’t not automatically solve all problems of closed source or proprietary AI.
Edit: I know of Petals, I even discussed with some people working on it, and I learned about federated AI or federated learning back then, since at least 2019 (proof) so this isn’t new to me.
Well that’s one position, another is to say AI, being developed currently, is :
and other problems and is thus in most cases (say outside of e.g numerical optimization as already done at e.g DoE, so in the “traditional” sense of AI, not the LLM craze) better be entirely ignored.
Edit : what I mean is that the argument of inevitability itself is dangerous, often abused.