The Comet Newsletter's issue #7 discusses various advancements and challenges in artificial intelligence and machine learning, particularly focusing on Tesla's decision to shift from radar sensors to a vision-only approach for autonomous vehicles, as explained by Andrej Karpathy in his CVPR 2021 talk. This strategy aims to leverage camera data over radar due to sensor fusion complexities, although it poses risks and uncertainties. The newsletter also delves into multi-task learning (MTL), highlighting its potential benefits and complexities in machine learning models, and introduces new tools like TensorBoardX and Facebook's Kats for time series analysis. Additionally, it covers the evolving landscape of machine learning job interviews through Chip Huyen's e-book, which provides insights into the interview process and common misconceptions. The issue also addresses the biases in AI-based job matching systems, specifically citing LinkedIn's algorithm, which may inadvertently introduce gender biases in job recommendations by interpreting user behaviors differently.