Mikhail Krinitskiy, head of the MIPT Laboratory of Machine Learning in Earth Sciences, invited the audience to consider how agentic automation is changing the research cycle, the role of researchers, and the reproduction of scientific expertise. The discussion focused on the boundary between computationally checkable tasks and work in the physical world, learning through one’s own errors, AI’s influence on scientific reputation and resource allocation, and human responsibility for asking questions and validating results.