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AI designs new virus not found in nature

A Stanford-led research team has used generative AI to design a synthetic virus — the first time artificial intelligence has been harnessed to create a organism that has never been seen in nature. Why it matters: What could go wrong? The big picture: It could be the first step toward the nightmare scenario AI experts have already warned about: deadly pathogens that can't be stopped, because…

AI designs new virus not found in nature

A groundbreaking study from Stanford University has utilized generative AI to craft a synthetic virus - the first instance of artificial intelligence constructing an organism that does not exist in nature. This development raises concerns about the potential misuse of AI for creating deadly pathogens, which could evade current surveillance systems due to their rapid creation.

While the research team believes this could lead to medical advancements, they acknowledge that existing regulations may not be sufficient to oversee such AI-driven genomic engineering. The research, published in Science, details how the team employed an AI model to design viruses capable of infecting and eliminating the E. coli microbe.

The researchers emphasize that the effectiveness of their genome prediction models has not been previously assessed. This discovery adds complexity to ongoing debates over the regulation of high-risk research, particularly in light of previous government efforts to monitor "gain of function" research on natural pathogens. The Trump administration has been particularly focused on this area, as well as the ongoing investigation into the origins of the COVID-19 pandemic.

However, this new AI-created virus represents a completely new frontier, surpassing mere manipulation of existing viruses. The debate surrounding this development highlights the ongoing challenge of balancing scientific progress with safety regulations, as biotechnology continues to evolve at an unprecedented pace.

Written by urgent.news from Axios's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.

Read the original at axios.com →

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