Comet's Community Spotlight series aims to keep readers informed about the latest developments in Machine Learning by featuring insightful reads from community members each week. The current highlights include a deeper exploration of Bongard problems, which pertains to recognizing abstract patterns as discussed in Hofstadter’s "Gödel, Escher, Bach," and a NeurIPS 2017 paper on counterfactual fairness, addressing fairness and bias in Machine Learning outcomes by considering alternative demographic scenarios. Additionally, the series notes the increasing importance of AI and automation for post-pandemic business success, emphasizing the need for organizations to demonstrate the value and ROI of AI investments. Other featured content includes a detailed analysis of the BioNTech/Pfizer mRNA vaccine source code, appealing to those interested in healthcare and bioinformatics. Comet encourages readers to follow the #CometSpotlight hashtag on social media for more recommendations from the data science community.