Jean-Rémi King, research scientist and team leader at Meta AI, discusses deep learning algorithms, natural language processing, and the brain. They explore the similarities between brain responses and deep net activations, factors for algorithm similarity to the brain, and the need for nonlinear composition in language processing. They also delve into the size of predicted chunks, the functional similarity between deep neural networks and brain voxels, and the importance of choosing the right model architecture and parameters for predicting brain activity.