Balancing Synthetic and Human Data in RL

The speaker discusses the challenges of solving data problems in RL, where fixing one problem often leads to new issues. They express interest in automating and optimizing the model but feel that it is years away. They highlight the debate between synthetic and human data, suggesting that both will coexist for a while. Additionally, they note the growing ambition in the field to start companies, referencing individuals who are venturing into entrepreneurial endeavors.