The Comet Newsletter issue #3 explores significant developments in AI and machine learning, highlighting Facebook AI Research's (FAIR) breakthrough in unsupervised speech recognition, which utilizes the wav2vec model to achieve impressive accuracy without annotated data, potentially democratizing access across languages. It also delves into Stanford researchers' investigation of GPT-3's in-context learning, where the model responds to new tasks by producing outputs that mirror input descriptions without explicit training, showcasing the potential for learning during inference. Additionally, the newsletter discusses the integration of Sweetviz with Comet for enhanced Exploratory Data Analysis (EDA) and addresses issues of academic fraud within the AI community, as presented by Jacob Buckman, who highlights the pervasive yet often overlooked subtle fraud in machine learning research, urging for greater awareness and accountability.