Stanford PhD uses generative AI to draft genetic blueprints for microscopic viruses
Samuel King, a bioengineering PhD candidate at Stanford University and the Arc Institute, demonstrated a proof‑of‑concept in 2025 where a generative AI model suggested genetic sequences for tiny viruses. In a subscriber‑only roundtable recorded on October 16, 2026, MIT Technology Review AI reporter James O'Donnell discussed King’s work, his inclusion in the Innovators Under 35 list, and the…
Key points
- Samuel King used a generative AI model to propose genetic blueprints for microscopic viruses in 2025
- The AI‑generated designs are not yet living organisms, according to King
- The roundtable interview was recorded on October 16, 2026 and is subscriber‑only
The conversation highlights both the promise and the caution needed as AI moves into synthetic biology. While the approach could speed discovery of vaccines or therapeutics, it also raises biosecurity concerns about creating novel pathogens. The MIT Technology Review piece situates the work within ongoing debates about AI safety, regulation, and the responsibility of researchers handling powerful generative models.
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