“Highly engaging” - David Wallis, New Venture Incubation at Google DeepMind “This book is bold!” - Andrea G. Aguilar, Editor in Chief at Stanford Social Innovation Review en Español “A strongly recommended read” - Dr. J. Krishnan, Applied Data Scientist at Siemens As the power and scope of AI continues to explode, so too have questions about its impact on science. Once a technology used by few scientists, AI has recently become a key enabler of groundbreaking scientific discoveries—some of which have been recognised with the Nobel Prize. Maverick scientists are working with AI to understand the mysteries of the human body, design new drugs and carbon-capturing materials, predict the weather with unprecedented accuracy, and unravel the secrets of the molecular world. And they have only begun to scratch the surface of what's possible. Method to the Madness offers the general reader a way into this vital and complex technology. Cutting through the hype, it explains what AI can offer us, defines the difference between intelligent and creative machines, explores the huge potential of AI agents and semi-autonomous AI scientists, and looks to the future of AI—its likely evolution and how it might spearhead innovation in the years to come. "Method to the Madness explains AI and its potential within science in a way which is both clear and highly engaging - it would be hard to read the book and not feel inspired" - David Wallis, New Venture Incubation at Google DeepMind "This book is bold! Sebastian shares amazing stories about AI's past -how it evolved, succeeded, and failed-and about the future -how it will become an essential tool for scientists, innovators, and even simple mortals like most of us. Prepare to feel overly excited with one of the main characters of our times, one that we love and hate at the same time." - Andrea González Aguilar, Editor in Chief, Stanford Social Innovation Review en Español "This insightful book on AI presents a balanced view of this revolutionary technology. It neither exaggerates the threat of AI replacing us nor underestimates its potential. Sebastian compellingly argues that AI will become our greatest ally, providing diverse examples from generative biology to material sciences. A strongly recommended read!" - Dr. Jeyashree Krishnan, Applied Data Scientist at Siemens, Researcher at the Center for Computational Sciences, Ultramarathoner As the power and scope of AI continues to explode, so too have questions about its impact on science. Once a technology used by few scientists, AI has recently become a key enabler of groundbreaking scientific discoveries—some of which have been recognised with the Nobel Prize. Maverick scientists are working with AI to understand the mysteries of the human body, design new drugs and carbon-capturing materials, predict the weather with unprecedented accuracy, and unravel the secrets of the molecular world. And they have only begun to scratch the surface of what's possible. Method to the Madness offers the general reader a way into this vital and complex technology. Cutting through the hype, it explains what AI can offer us, defines the difference between intelligent and creative machines, explores the huge potential of AI agents and semi-autonomous AI scientists, and looks to the future of AI—its likely evolution and how it might spearhead innovation in the years to come. Sebastian Uribe is the Senior AI Product Manager at HelloBetter, the leading provider of digital therapeutics for mental health in Europe. A former mentor for AI and climate projects at Yale's OpenLab, he has presented on AI and emergent technologies at conferences organised by the United Nations, the Government of Chile, and the German Ministry of the Environment, among others. He lives in Berlin.