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The article centers on the critical intersection of AI and bio-security, specifically detailing how large language models are being leveraged to design genomes and defend against biological threats. It highlights Radical Numerics' use of open-source models like GLM5.2 to accelerate defensive capabilities in an adversarial environment where speed and transparency are paramount. This demonstrates a clear shift from theoretical genomic modeling to practical AI-driven defense mechanisms in the life sciences.

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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

Latent SpaceSeptember 23, 20265 min read

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.

The OpenAI → Hugging Face attack has people asking “what else do we need to worry about?” and Anthropic’s filters flag two things: cyber-security and biology. The natural question is: what about bio-security, then? So proud of our security team! They caught, contained & publicly disclosed an attack unlike anything we've seen before, and did it at record speed. Also massively grateful to @Zai_org: they shared GLM5.2 as open weights (for free!) with the world and it became a key part of our… Hardest IR of my career: one narrow objective, endless parallel paths,…

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