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The use of large language models (LLMs) is soaring among students worldwide thanks to the tools’ growing ability to solve problems and generate text and code. In a 2026 survey of 1,054 UK undergraduate students by the Higher Education Policy Institute in Oxford, UK, roughly 94% said that they use generative artificial-intelligence tools to help
The founders behind Starcloud, a startup with plans to operate a fleet of GPUs in orbit, have a new pitch for potential investors: A plan to send a tiny spacecraft on an 80,000 year journey to Alpha Centauri. If they do it, it will be the first human-built object explicitly aimed for another star, and
Zhivar Sourati often gets déjà vu while perusing recent research in his field of computer science. “I read papers and I’m like, ‘I’ve seen this paper before,’” he says. Everything’s looking kind of the same, shorn of individual quirks, says Sourati, who is a PhD student at the University of Southern California in Los Angeles.
Generative artificial intelligence (genAI) tools are increasingly being used in science to search and summarize literature, produce ideas, draft responses to reviewers and improve the style of written text. This raises a question: what counts as human authorship when some of a researcher’s work is mediated by AI? And how much of this intellectual ‘work’