The discussion centers on the use of an AI co-scientist tool in biomedical research, particularly its efficacy in predicting drug repurposing opportunities and generating novel scientific hypotheses. Some commenters express skepticism about the AI’s role in creating breakthroughs, emphasizing a difference in research methodologies between fields. They argue that while AI may enhance productivity in generating ideas, it does not replace the rigorous testing that is the bottleneck in many scientific fields like biology. Additionally, there are concerns about decreased job satisfaction among scientists using AI, despite increased productivity. Overall, the conversation highlights both potential benefits of AI in accelerating biomedical discovery and critical views on its real-world applicability, particularly the challenges of hypothesis testing and the nuances of scientific inquiry across disciplines.