According to @godofprompt, a technique from 1991 known as Mixture of Experts (MoE) is now enabling the development of trillion-parameter AI models by activating only a fraction of those parameters during inference, resulting in significant efficiency gains (source: @godofprompt via X, Jan 3, 2026). MoE architectures are currently driving a new wave of high-performance, cost-effective open-source large language models (LLMs), making traditional dense LLMs increasingly obsolete in both research and enterprise applications. This resurgence is creating major business opportunities for AI companies seeking to deploy advanced models with reduced computational costs and improved scalability. MoE's ability to optimize resource usage is expected to accelerate AI adoption in industries requiring large-scale natural language processing while lowering operational expenses.