Fabio Pasqualetti

Multi-agent generative models can now provably satisfy complex, coupled hard constraints without centralized runtime coordination—even zero-shot scaling to agent counts never seen during training.

Kuramoto synchronization enables a low-energy attention mechanism that outperforms traditional softmax in key NLP tasks while ensuring unique and stable outputs.

Guarantee 100% constraint satisfaction from your generative model without retraining by steering its outputs with a novel control barrier function.