Anastasis discusses the current state of image and video generation models, emphasizing the importance of aligning outputs with text prompts. He highlights the role of both quantitative metrics and qualitative feedback in improving model performance, noting that human inspection remains crucial for addressing quality shortcomings. The conversation also touches on the potential of reinforcement learning from human feedback as a method for refining these models.
