Machine Learning Analysis

Mixture-of-Experts Explained: Routing, Load Balancing, and Why Frontier Models Use Them

How mixture-of-experts models route tokens, why load balancing is the hard part, and the compute and memory trade-offs behind sparse frontier architectures.

By Institute for Joint Cognition & AI · 6 min · 27 October 2026

The beat, in 6 parts

01 Machine Learning Mixture-of-Experts Explained: Routing, Load Balancing, and Why Frontier Models Use Them 5 pieces 02 AI Research NeurIPS 2026 Splits Across Sydney, Atlanta, and Paris: What a Three-City Conference Means for Research Access 6 pieces 03 Language Models Streaming Memory for Speech Models: What VoiceMem's Dual-Brain Architecture Attempts to Solve 6 pieces 04 Computer Vision Open-Vocabulary Vision Models as Agentic Infrastructure: What Breaks When Grounding Fails 3 pieces 05 AI Systems Model Context Protocol Goes to Production: What the 2026-07-28 Spec Change Actually Fixes 7 pieces 06 AI Policy The GPAI Code of Practice Enforcement Window Opens: What August 2026 Actually Changes for Model Providers 4 pieces