In 2025, Samuel King, a PhD candidate at Stanford University and the Arc Institute, reached a preliminary milestone in the fusion of biology and machine intelligence. By employing a generative AI model, King proposed genetic blueprints for microscopic viruses. While not yet classified as fully AI-generated life, the achievement signals a potential shift toward that reality.
From Blueprints to Biological Action
King’s work has already demonstrated practical results: these AI-designed viruses are currently functional and capable of killing bacteria. This breakthrough earned him a spot on MIT Technology Review’s prestigious Innovators Under 35 list, highlighting his role in pioneering new methodologies for biological engineering.
Limits and Possibilities
Despite the success of these viral designs, the broader context of AI in research remains a subject of scrutiny. Current assessments suggest that while AI can assist in genetic mapping, Large Language Models (LLMs) still lack the core reasoning machinery seen in specialized systems like AlphaGo. Furthermore, AI agents are not yet deemed creative enough to conduct genuinely innovative, open-ended research without human guidance.
An upcoming conversation between King and senior AI reporter James O’Donnell will explore these nuances, examining how AI is reshaping our understanding of biological structures and the ethical boundaries of designing microscopic entities.
