Then it started playing something more serious, aiming its deep learning algorithms at one of the most difficult problems in modern science: protein folding. To understand what the next five years holds for AlphaFold, WIRED spoke with Pushmeet Kohli, vice president of research at DeepMind and architect of its AI ​​for Science division. WIRED: Dr. Kohli, the arrival of AlphaFold 2 five years ago has been called "the iPhone moment" for biology. Pushmeet Kohli: Science has been central to our mission from day one. How has this philosophy evolved from AlphaFold 2 to AlphaFold 3, specifically now that you are using diffusion models which are inherently more “imaginative” and prone to hallucination?