🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
· Source: Latent Space
The recent dispute between OpenAI and Hugging Face has highlighted the need to broaden oversight beyond cybersecurity, pointing to biology as a new risk frontier. According to Clem Delangue, defense against cyberwar must rely on open models that evolve at the same pace as the offensive capabilities of next‑generation AI systems. In an interview, Eric Nguyen, co‑founder of Radical Numerics, explained that the same algorithms driving biological research can also be used to keep defense up to date. While at Stanford, Nguyen worked on genomic language models (GLM) that were initially met with skepticism by the biology community. After persistence, he helped develop Evo and Evo‑2 at the Arc Institute, tools that later enabled a Stanford team to generate complete bacteriophage genomes, which were synthesized into functional viruses. Nguyen stresses that AI’s ability to handle long contexts is crucial for deciphering and designing DNA sequences, opening both scientific opportunities and potential threats.
This story matters because it illustrates how openness and access to advanced models can be a double‑edged sword: they accelerate medical discoveries but could also be exploited to create dangerous biological agents, forcing governments and organizations to rethink their biosafety strategies.
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