Part 6/11:
He points out that traditional training methodologies, such as those based on reconstructing images from corrupted versions, often miss the mark when attempting to create abstract representations of reality. Instead, he argues that a new paradigm that centers on joint embedding predictive architectures (JEPAs) is required to create systems that are more adept at processing information in high-dimensional, continuous formats.