Learning Capabilities in Models

Ben discusses the potential for agents in models to have learning capabilities, such as remembering past interactions and adapting behavior based on experiences. He explores the idea of using Slim to support learning at the instinctual level through neural networks or gaussian process mechanisms, allowing for evolutionary learning within populations.