This blog post discusses the evaluation of AI-generated images through the lens of blackbox optimization. It delves into the methodologies and algorithms utilized in assessing the quality of images produced by generative AI models, highlighting both their advantages and limitations. The author shares insights on their personal experience with these technologies, aiming to educate developers on optimizing the image generation process. It is a technical exploration suited for those interested in AI and machine learning.