Who would you pick to win in a head-to-head competition — a state-of-the-art AI agent or a mouse? This unexpected question serves as the starting point for an innovative study conducted by Isaac Kauvar, a Wu Tsai Neurosciences Institute postdoctoral scholar, and Chris Doyle, a machine learning researcher at Stanford. In a twist of outcomes, their research led to the development of a new AI training method, paving the path for more adaptive and flexible technologies in the future.
Exploring the Unexpected
To compare an AI agent and a mouse might seem like comparing apples and
