John Herbert, professor of chemistry and biochemistry, discusses his work in computational molecular quantum mechanics and quantum chemistry with host David Staley. Herbert describes machine learning, cost-effective training data for AI models and the need for low-cost computational methods, which he calls “computing for the proletariat”. Professor Herbert also shares his insights on the culture of academic science, advocating for a reevaluation of the current “great man approach” towards research and innovation.