Issue #3 of The Comet Newsletter discusses several significant developments in artificial intelligence, including Facebook AI Research's new unsupervised learning method for speech recognition, which uses the wav2vec model to perform phoneme mapping with adversarial training, achieving impressive accuracy without annotated data. The newsletter also explores "In-context learning" in GPT-3, where the model demonstrates learning capabilities through context-driven prompts, showing improved accuracy with more examples. Additionally, it highlights the integration of Sweetviz and Comet for enhanced exploratory data analysis, allowing efficient tracking and visualization of dataset experiments. The newsletter further addresses academic fraud within the AI community, as Jacob Buckman critiques the prevalence of subtle unethical practices and suggests that blatant fraud might force the community to confront its issues.