This week's reads from the Comet team delve into interactive articles, the current state of machine learning, trustworthy AI, and the implications of large language models. Alan Kay and Douglas Engelbart's foundational work on digital cognition is being applied to create engaging interactive articles that enhance learning. Mark Saroufim humorously critiques the stagnation in machine learning, highlighting prevalent issues and the hype cycle affecting researchers and students. Trustworthy AI emphasizes the necessity of trust for realizing AI's full potential in societal and economic contexts. A critical examination of large language models questions the risks of their size and the methodologies for mitigating these risks. The Comet team continues to showcase insightful contributions from their community, encouraging further exploration through the #CometSpotlight on social media.