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@koanh.review: Áo thun nữ #aothun #aothunnu #aoxinh #thoitrangnu #xh

Koanh Review ♡
Koanh Review ♡
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Tuesday 25 August 2026 05:22:57 GMT
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On 6 August, Science published what it reports as the first generative design of complete bacteriophage genomes. Researchers at Stanford and the Arc Institute, led by Brian Hie, gave a genome language model the opening letters of ΦX174, a virus that infects bacteria, and asked it to write the rest. The New York Times reports the model produced 700,000 versions. Filters written by people cut that to 302 designs. 285 were built as real DNA. Sixteen came alive, which means one thing: put into a bacterium, they copy themselves until the cell bursts. None of them poses a threat to humans. They infect only bacteria. Oliver Crook, a protein chemist at Oxford, not involved, told the Times they are “not just sickly versions of what already exists”. He also cautions they are not radically new. Fifteen of the sixteen infected a strain of E. coli the original virus was not known to infect. A mixture of the designed phages overcame bacteria that had evolved resistance, by recombining with each other. A comparable mixture of natural phages could not. That is the point: phage therapy, against bacteria that antibiotics no longer kill. The team left every virus that infects people or animals out of the training data. “We just wanted to be extra careful,” Hie said. Moritz Hanke, a biosecurity researcher at Johns Hopkins, not involved, calls that commendable, because they had no guidance to follow. Days before the study, the National Institutes of Health published a policy on high-risk research. It bars work that makes biological agents more harmful. Designing a genome on a computer is not prohibited, unless the agency calls it an entity of concern. In Science, Thomas Inglesby and Hanke put it this way: the ability to compose viral genomes using generative AI now exists; the governance to safely steer it does not. Sources: Science (King et al., 6 August 2026); Inglesby and Hanke, Science; The New York Times. #phage #syntheticbiology #antibioticresistance #biosecurity #ai
On 6 August, Science published what it reports as the first generative design of complete bacteriophage genomes. Researchers at Stanford and the Arc Institute, led by Brian Hie, gave a genome language model the opening letters of ΦX174, a virus that infects bacteria, and asked it to write the rest. The New York Times reports the model produced 700,000 versions. Filters written by people cut that to 302 designs. 285 were built as real DNA. Sixteen came alive, which means one thing: put into a bacterium, they copy themselves until the cell bursts. None of them poses a threat to humans. They infect only bacteria. Oliver Crook, a protein chemist at Oxford, not involved, told the Times they are “not just sickly versions of what already exists”. He also cautions they are not radically new. Fifteen of the sixteen infected a strain of E. coli the original virus was not known to infect. A mixture of the designed phages overcame bacteria that had evolved resistance, by recombining with each other. A comparable mixture of natural phages could not. That is the point: phage therapy, against bacteria that antibiotics no longer kill. The team left every virus that infects people or animals out of the training data. “We just wanted to be extra careful,” Hie said. Moritz Hanke, a biosecurity researcher at Johns Hopkins, not involved, calls that commendable, because they had no guidance to follow. Days before the study, the National Institutes of Health published a policy on high-risk research. It bars work that makes biological agents more harmful. Designing a genome on a computer is not prohibited, unless the agency calls it an entity of concern. In Science, Thomas Inglesby and Hanke put it this way: the ability to compose viral genomes using generative AI now exists; the governance to safely steer it does not. Sources: Science (King et al., 6 August 2026); Inglesby and Hanke, Science; The New York Times. #phage #syntheticbiology #antibioticresistance #biosecurity #ai

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