Learning Sparse Concepts

Connor and Tim discuss the challenges of learning sparse concepts and propose starting with dense connections that gradually prune down. They question the feasibility of learning Benjo's proposed model due to its discrete, sparse, and independent attributes. Yannic suggests a co-evolution between dense and sparse representations in complex environments.