What happens to the scientific method when AI can explore a hundred research paths at once? At SCSP's AI+ Discovery Summit, Dr. Nathan Frey, who leads drug discovery and development research at Anthropic, sits down with MIT Technology Review's Amy Nordrum to talk about how frontier AI models are changing the way science gets done. In this conversation, Frey explains why he believes AI's biggest near-term impact is cutting "research toil," letting scientists pursue more ideas in parallel and kill dead ends faster. He pushes back on the claim that biology is too messy for AI, arguing that models are no longer limited to existing data because designing experiments and building new datasets on the fly is now part of the workflow. He also breaks down Claude for Science, Anthropic's new product for researchers, including its reviewer agents that check work in the background and flag errors automatically. Topics covered: Why problem selection is the hardest skill in science, and how AI he...