Mixture of Experts

A Mixture of Experts (MoE) architecture combines multiple specialized neural network sub-models (experts), with a gating mechanism routing input data to the most relevant experts. This enables efficient scaling of model capacity without linear computational cost increases.

Recent Developments

• IBM Panel Discussion (2026-04-14):
  • Host: Tim Hwang
  • Panelists:
    • Gabe Goodhart (Chief Architect, AI Open Innovation)
    • Abraham Daniels (Sr. Technical Product Manager, Granite)
    • Aaron Baughman (IBM Fellow, Master Inventor)
  • Key Topics:
    • “Fun-cember”: Sudden influx of major model releases at year-end
    • Validity debate of scaling-laws
    • agent-wars implications in AI competition
    • amazon blocking chatgpt and market dynamics
  • Video: IBM Panel Discussion

2026 04 14 Ibm panel

Source Notes

• 2026-04-07: Benchmarking SLMs Identifying 4GB General Problem Solving Champions · ▶ source
• 2026-04-10: DeepSeek Engram Solving LLM Inefficiency Through Context Aware · ▶ source
• 2026-04-13: MiniMax M27 Open Source LLM Rivaling Opus 46 with Agent Capabilities · ▶ source
• 2026-04-19: Qwen 36 35B Full Precision vs Ollama Quantized Performance Memory Trad · ▶ source