Leif Ames

QR codes can be a handy way to send a link or contact details without all that tedious mucking about with typing in a link, but they aren’t very useful …read more

Exclusive: Nvidia, Microsoft and Cisco taskforce urges ministers to offer areas greater benefits from tech infrastructure amid fears of US-style opposition

AI companies have told ministers they have 12 months to head off public opposition to datacentres in the UK or risk US-style protests that could threaten their construction.

Successive dry summers and rising energy bills are increasing public scrutiny of plans for the huge computer warehouses that are used to train and run AI models, says a submission to the Labour government from a group including the AI infrastructure companies Nvidia, Microsoft and Cisco.

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You Can See Everything, a documentary about the disgraced biotech company founder Elizabeth Holmes, has enjoyed a record-breaking opening in the US. It is a testament to how fascinated we remain by the convicted fraudster, but what is behind the enduring appeal? US technology editor Blake Montgomery tells Madeleine Finlay why Holmes continues to fascinate us, and reflects on whether the Theranos scandal has had a permanent impact on Silicon Valley

Clip: You Can See Everything, A24

‘You can’t make this stuff up’: why we remain fascinated by Elizabeth Holmes

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An anonymous reader quotes a report from The New York Times: For the first time, scientists say they have used viruses designed by artificial intelligence to treat a human patient. Researchers announced on Tuesday that they had administered the virus, known as a phage, to a patient suffering from a deadly bacterial infection. Phages attack bacteria, and the hope is that this one will kill the microbes causing the infection. Radical Numerics, the start-up that created the viruses, posted a technical report about them on its website. But the company declined to provide information about the patient or the doctors running the trial, citing confidentiality requirements. [...] In 2025, researchers at the Arc Institute in Palo Alto, Calif., created an A.I. model called Evo 2, which they trained on millions of DNA sequences, including phage genes. They prompted Evo 2 to make new genomes similar to those in a group of phage species. The A.I. generated 700,000 virus genomes. The team synthesized DNA molecules from 285 genomes and inserted them into bacteria. The researchers found that 16 of the genomes gave rise to viable viruses. Three members of the Evo team, including Dr. Nguyen, left to found Radical Numerics. In June, the company unveiled a new A.I. model, called Omnii, based on some of the same principles as Evo. Omnii can be trained not just on DNA but also on other aspects of biology, such as the structures of proteins and molecules that keep genes turned on or off. The company is now using Omnii to tackle a range of challenges, including designing cancer vaccines and recognizing the risk that a virus may cause a pandemic. Among these efforts is the first trial of A.I.-designed phage therapy. The researchers created variations of a phage called T7. The virus, which only infects E. coli, looks like a microscopic Apollo lunar lander: a ball-shaped protein shell that holds its DNA atop six leglike protrusions. To infect a bacterium, T7 lands on its surface, using its legs to anchor in place. It then injects its DNA into the cell. Omnii generated new viral genes altering the shapes of T7's legs, according to Dr. Nguyen and his colleagues. While some of the new legs were significantly different from natural ones, Omnii's phages could still infect bacteria. Once the researchers were confident their strategy had worked, they partnered with doctors treating a patient with a stubborn E. coli infection. The bacteria had resisted not just antibiotics but all the available phages. The researchers said they had trained Omnii with information about the resistant strain and told it to design T7 phages with legs that could grab onto the bacteria. Once the A.I. generated genomes for new viruses, the scientists said they produced the corresponding DNA molecules and inserted them in bacteria. The bacteria became infected and produced T7 phages that could successfully infect, and kill, other microbes. After running tests to make sure the phages were safe, Radical Numerics presented them to the doctors. The F.D.A. authorized a trial. While the trial was authorized by the FDA, it's worth noting that the research has not yet been peer-reviewed in a scientific journal and there's no guarantee the AI-designed phages will work. However, if it does prove successful, it could help speed phage therapy by cutting down the time it takes to create a new virus tailored to each patient's infection. "We think we can get it done in days," said Dr. Eric Nguyen, the chief executive officer of Radical Numerics.

Read more of this story at Slashdot.