EMO: Pretraining mixture of experts for emergent modularity

# EMO: Making AI Systems More Efficient and Flexible Researchers have developed a new way to train AI models that breaks them into specialized "expert" parts, kind of like how a hospital has different doctors for different problems instead of one generalist trying to do everything. This approach makes the AI more efficient because each expert only activates when needed, reducing computational costs and allowing the model to handle more complex tasks without requiring a massive single system. The technique could make AI tools faster and cheaper to run in real-world applications.