According to God of Prompt (@godofprompt), the Mixture of Experts (MoE) technique, first introduced in 1991, is now driving the development of trillion-parameter AI models while only activating a fraction of their parameters during inference. This architecture allows organizations to train and deploy extremely large-scale open-source language models with significantly reduced computational costs. MoE's selective activation of expert subnetworks enables faster and cheaper inference, making it a key strategy for next-generation large language models (LLMs). As a result, MoE is rapidly becoming essential for businesses seeking scalable, cost-effective AI solutions, and is poised to disrupt the future of both open-source and commercial LLM offerings. (Source: God of Prompt, Twitter)