Qing-Ni Wang

Frontier models can be used sparingly for long-horizon tasks by a weak agent that learns to predict when it needs help, then keeps the strong model on a leash.

Optimizing soft memory directly for user behavior, not text reconstruction, unlocks state-of-the-art long-context personalization.