Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics

Researchers propose Knob, a new framework that applies control theory principles to neural networks by mapping gating dynamics to mechanical systems. The approach enables real-time human adjustment of AI model behavior through intuitive physical parameters like damping and frequency, offering both static and continuous processing modes.