🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Radical Numerics' CEO describes how advanced Genomic Language Models create a bio-security arms race, requiring open-source defensive tools to counter offensive capabilities.
Eric Nguyen, CEO of Radical Numerics, discusses the dual-use nature of Genomic Language Models in a bio-security arms race. He notes that earlier models like Evo 2 enabled the generation of functional viruses, while current GLMs use long-context and chain-of-thought to perform advanced biological reasoning. The company argues that pushing the frontier of these models is necessary for defensive capabilities to keep pace with offensive threats.
- Startup Radical Numerics is scaling Genomic Language Models for bio-security.
- Earlier GLMs like Evo 2 were used to generate entire bacteriophage genomes.
- Long-context and chain-of-thought techniques enable sophisticated biological reasoning.
- Founder argues defense is losing the bio-security arms race.
- The field is shifting from DNA generation to multi-modal biological intelligence.
From the original article
4 min read at latent.space
Radical Numerics is using biological chain-of-thought and multimodal perception to keep up with the bio-defense arms race, design new genomes and gain insights into biology itself.
By RJ Honicky · latent.space
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