Statsig has launched a new virtual event series called Learning Labs, which offers users the chance to explore niche topics and integrate specific workflows into their testing programs, including the application of machine learning to feature flag infrastructure. Led by Statsig software engineer Tyler VanHaren, participants can learn how to enhance feature flags using machine learning to improve testing programs and enrich ML models. The series also covers topics like CUPED, a method for running experiments more efficiently and with less bias, and includes insights from experts Ronny Kohavi and Allon Korem on fostering a robust experimentation culture. Additionally, the text reflects on the evolution of A/B testing and experimentation platforms like Optimizely and discusses how causal evidence and A/B testing have influenced product strategies at Facebook. The author shares personal experiences from the initial months at Statsig, highlighting the company's unique culture marked by innovation and collaboration.