AI development today faces a dual challenge: models are growing ever more complex, yet aligning them with human needs requires extensive oversight and feedback. Fission’s DeSAi framework (Decentralized Science + AI) addresses this by combining advanced model optimization techniques with large-scale human feedback loops (e.g., Reinforcement Learning from Human Feedback, RLHF) and community-driven governance. The central question, however, is how to incentivize and coordinate these decentralized f
