According to @godofprompt, Mixture of Experts (MoE) architectures in AI go beyond compute savings by enabling transformative training strategies. MoE allows researchers to dynamically add new expert models during training to introduce novel capabilities, replace underperforming experts without retraining the entire model, and fine-tune individual experts with specialized datasets. This modular approach to AI design, referred to as compositional intelligence, presents significant business opportunities for scalable, adaptable AI systems across industries. Companies can leverage MoE for efficient resource allocation, rapid iteration, and targeted model improvements, supporting demands for flexible, domain-specific AI solutions (source: @godofprompt, Jan 3, 2026).