Richard discusses the complexities of data attribution and the potential for incentivizing users to opt into data-sharing systems. He highlights the significant challenge of allowing individuals to remove their data from pre-trained models without requiring a complete retrain, emphasizing the need for scalable solutions that respect user privacy and autonomy.
