Unfortunately AI as it stands strongly favors those with large resources, ML training is not something that works to distribute well because it benefits greatly from low latency. AI isn't a map-reduce problem or any other problem type which works well to split up into discrete parts to distribute for computation. MLC@Home if I understand correctly was training small single models on each machine/work unit, not training models in a distributed fashion.