Inflatable squishy tubes could be used to build soft robots that move when air is pushed through them. Robotic hands made from metal frequently end up crushing delicate objects like fruit when trying to pick them up, so researchers often experiment with making them out of gentler materials. Pierre-Thomas Brun at Princeton University and his colleagues have found that soft, inflatable tubes may just do the trick. The team filled various moulds with a rubber-like material called polyvinyl siloxane that starts off liquid but becomes solid and elastic as time passes.

OpenAI fired its charismatic chief executive, Sam Altman, on 17 November -- but has now reinstated him.Credit: Justin Sullivan/Getty OpenAI -- the company behind the blockbuster artificial intelligence (AI) bot ChatGPT -- has been consumed by frenzied changes for almost a week. On 17 November, the company fired its charismatic chief executive, Sam Altman. Five days, and much drama, later, OpenAI announced that Altman would return with an overhaul of the company's board. The debacle has thrown the spotlight on an ongoing debate about how commercial competition is shaping the development of AI systems, and how quickly AI can be deployed ethically and safely. "The push to retain dominance is leading to toxic competition. It's a race to the bottom," says Sarah Myers West, managing director of the AI Now Institute, a policy-research organization based in New York City.

The artificial-intelligence model that powers ChatGPT can create superficially plausible scientific data sets.Credit: Mateusz Slodkowski/SOPA Images/LightRocket via Getty Researchers have used the technology behind the artificial intelligence (AI) chatbot ChatGPT to create a fake clinical-trial data set to support an unverified scientific claim. In a paper published in JAMA Ophthalmology on 9 November1, the authors used GPT-4 -- the latest version of the large language model on which ChatGPT runs -- paired with Advanced Data Analysis (ADA), a model that incorporates the programming language Python and can perform statistical analysis and create data visualizations. The AI-generated data compared the outcomes of two surgical procedures and indicated -- wrongly -- that one treatment is better than the other. "Our aim was to highlight that, in a few minutes, you can create a data set that is not supported by real original data, and it is also opposite or in the other direction compared to the evidence that are available," says study co-author Giuseppe Giannaccare, an eye surgeon at the University of Cagliari in Italy. The ability of AI to fabricate convincing data adds to concern among researchers and journal editors about research integrity.