Scientists trained an AI model in DNA—and it invented 16 new viruses

illuminem summarises for you the essential news of the day, reviewed by our editorial team. Read the full piece on Forbes or enjoy below:

🗞️ Driving the news: Researchers at Stanford University have used an OpenAI model called Evo to design new functional viruses from DNA sequences, creating 16 previously unknown bacteriophages capable of infecting E. coli bacteria in laboratory tests
• The study, published in Science, demonstrates the growing ability of AI models trained on biological data to generate new genetic sequences rather than simply analyse existing ones.

🔭 The context: Similar to how large language models learn patterns from text, Evo was trained on millions of genome sequences to understand the evolutionary rules shaping DNA
• Scientists then used it to generate novel viral genomes, which were synthesised and tested in laboratories
• The researchers excluded human pathogen data from the training process, meaning the viruses created are not designed to infect humans
• However, the breakthrough comes amid rising concerns that advanced AI could lower barriers to developing biological threats

🌍 Why it matters for the planet: AI is rapidly expanding from digital applications into biology, creating both transformative opportunities and new governance challenges
• This raises urgent questions around biosecurity standards, oversight and responsible access to powerful biological AI tools

⏭️ What’s next: Scientists and policymakers may need to debate stronger safeguards for biological AI systems, including monitoring frameworks, access controls and restrictions around designing pathogens affecting humans, animals or crops

💬 One quote: “You could say, ‘Hey, genomic language model, make me an influenza genome that is modified to be more transmissible or to be more lethal.’” — Moritz Hanke, Johns Hopkins Center for Health Security

📈 One stat: 16 AI-designed viruses successfully infected E. coli after being created from synthetic DNA sequences generated by the Evo model

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