The Comet Newsletter's second issue highlights significant developments in machine learning (ML) from Google I/O, such as the introduction of LaMDA, a conversation model trained on dialogue data, and updates to Google's imaging technology for better inclusivity of skin tones. The newsletter also discusses Google's enhanced privacy-preserving ML tools for Android and the launch of the Vertex AI Cloud ML Platform for streamlined machine learning operations. Additionally, it covers Twitter's decision to discontinue its image cropping algorithm due to bias issues, emphasizing the importance of assessing ML models for potential impacts. The issue features a Talk Python podcast episode about CodeCarbon, a Python library for tracking ML code's carbon footprint, underlining the need for environmentally conscious ML practices. Moreover, Upol Ehsan's insights on Explainable AI Systems stress the importance of understanding the human element in developing AI systems.