In 2025, Stanford University PhD student Samuel King used a generative AI model to create genetic blueprints for microscopic viruses, marking a step toward AI-designed life forms. King’s work, which is not yet fully AI-generated life, gained recognition when he was named one of MIT Technology Review's Innovators Under 35, according to technologyreview.com.
King’s approach involved training generative AI on biological data to propose novel virus designs. His research explores how AI can assist in understanding and creating new biological entities. The project is part of a broader effort to merge AI with bioengineering, aiming to expand the capabilities of synthetic biology. King discussed his work and its implications in a conversation hosted by senior AI reporter James O'Donnell.
This development highlights the growing intersection of artificial intelligence and biology, where AI tools are increasingly used to model and design complex biological systems. While AI-designed viruses are still in preliminary stages, the research opens up possibilities for future applications in medicine, bioengineering, and synthetic biology. King’s recognition by MIT Technology Review underscores the significance of AI’s role in advancing biological sciences.
The conversation with Samuel King will be broadcast live on October 16th at 18:30 BST / 1:30pm EDT / 10:30am PDT, providing deeper insights into the potential and challenges of AI-designed viruses, as detailed by technologyreview.com.