
The world has an enormous amount of unused AI resources—compute, data, and model proposals—but only major labs can train frontier-scale models today. Decentralised AI promises SETI@Home-style training, but it comes with its own challenges. Our method, F-TIS, addresses a crucial problem in decentralised post-training. F-TIS allows different models on different devices all over the world to train together in swarms, without undergoing the policy collapse that would normally render their efforts wasted. blog.gensyn.ai/f-tis-heteroge…






