Distorted Similarity Learning

Zak discusses the nuances of similarity in contrastive learning, emphasizing the importance of encoding augmentations meaningfully. Tim questions the anthropocentric nature of augmentations, while the conversation delves into the complexity of automated data generation and the search for fundamental building blocks in AI algorithms.