Bio-Security as an AI Arms Race: Genome Design and AI-Powered Biodefense
Eric Nguyen, CEO of Radical Numerics, outlined how his company leverages biological chain-of-thought reasoning and multimodal perception AI to design new genomes and defend against biological threats. As generative AI accelerates synthetic biology capabilities, biosecurity is transforming into a high-stakes arms race where defensive AI systems must keep pace with biological design capabilities. Radical Numerics applies chain-of-thought reasoning and multimodal models across biological data formats to gain insights into complex biology and engineer custom genomic sequences.
## BACKGROUND
Chain-of-thought (CoT) reasoning is an AI technique that breaks complex problem-solving into explicit sequential steps, improving accuracy on intricate tasks. In computational biology, combining CoT with multimodal perception enables AI models to integrate molecular structures, genomic sequences, and cellular data to model life systems more effectively.