Bio-security Is an AI Arms Race: Radical Numerics CEO Eric Nguyen on Genomic Language Models
Summary
Radical Numerics co-founder Eric Nguyen discusses genomic language models and biosecurity. He helped develop Evo and Evo 2; a separate Arc/Stanford team later used those models to generate and synthesize functional bacteriophage genomes. The interview distinguishes three sequence scales: an average human gene is about 60K, long genes can reach 2.3M, and the whole human genome is around 3B. Nguyen argues that models which increase biological capability can also help defense keep pace. The 2.3M figure describes a long gene, not the whole genome.
Evidence & checks
- Discovery channel
- Latent Space
- Original material
- www.latent.space
- Material type
- Source page; material type not verified
- Material basis
- Source excerpt
- Review status
- No human-review record
Source check corrected the gene/genome quantity attribution and removed embedded tweet metadata. This assistant check is not human scientific review.
- Checked source ↗
60K for an average human gene; long being up to 2.3M; the whole human genome around 3B.