Tag: AI Biosafety
Biosecurity governance for AI, watermarking bio models, open vs closed source safety tradeoffs, CBRN evaluation
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AI-Assisted Zoonotic Disease Detection: From SARS to H5N1
H5N1 in US dairy cattle is the live test of AI-assisted zoonotic detection. NGS with AI flags novel pathogens before specific assays exist. What AI surveillance can and…
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One Health and Machine Learning: How AI Bridges Human and Animal Disease Surveillance
Machine learning now integrates electronic health records, social media, wearable sensors, and environmental data to detect outbreaks earlier than traditional systems. The AI4MPOX-SN initiative in Senegal and the…
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RFdiffusion and ProteinMPNN: How AI Now Designs Proteins From Scratch
RFdiffusion generates protein backbones. ProteinMPNN designs the sequences that fold into them. Together they achieved sub-Angstrom accuracy at influenza binding interfaces. How the two-step pipeline works, why AI-generative…
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What ASL-3 Actually Means: Anthropic’s Biorisk Threshold Explained
ASL-3 is Anthropic’s threshold where models could provide serious uplift on bioweapons with mass casualty potential. What the Virology Capabilities Test actually evaluates, how the 4x novice uplift…
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DNA Synthesis Screening Cannot Keep Up With AI-Designed Sequences
The IGSC DNA synthesis screening standard was built on sequence homology to known pathogens. AI-designed sequences achieve dangerous functions through novel sequences that homology checks cannot recognize. What…
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Evo 2: The Genomic Foundation Model Trained on 9.3 Trillion DNA Bases
Evo 2 from Arc Institute is a 40B-parameter genomic foundation model trained on 9.3 trillion DNA bases spanning all domains of life. How the 128K context architecture works,…
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How Protein Language Models Learned to Design Dangerous Proteins
Researchers used three open-source protein design models to bypass DNA synthesis screening in 2025. Here is how protein language models work, why training data exclusion fails as a…
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LLMs Give Novice Biologists 4x Uplift on Dangerous Tasks
A 2026 study measured LLM access giving novice biologists a 4.16x accuracy boost on biosecurity-relevant tasks, including beating expert baselines. Here is the mechanism and what it means…
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