The decentralized training landscape is getting more interesting. A closer look at how the space is evolving reveals some notable players driving this shift. Nous, Prime Intellect, Pluralis, and Templar have emerged as key contributors, each bringing unique approaches to distributed model training. What's particularly worth noting is how these projects are leveraging the TAO ecosystem to create new possibilities for collaborative AI development. The architectural innovation here suggests we're seeing real progress toward more open and distributed approaches to training infrastructure.