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

• 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]