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Backlash builds over NHS plan to hide source code from AI hacking risk

New Scientist

NHS England is pulling its open-source software from the internet because of fears around computer-hacking AI models like Mythos. A decision by NHS England to withdraw open-source code created with UK taxpayer funds because of the risk posed by computer-hacking AI models is attracting growing backlash. Last month, Mythos, an AI created by technology firm Anthropic, was widely reported to be capable of discovering flaws in virtually any software, potentially allowing hackers to break into systems running it. NHS England has now told staff that existing and future software must be pulled from public view and kept behind closed doors by 11 May because of this risk. The decision goes against the NHS service standard, which requires that staff make any software they produce open-source so that tools can be built upon, improved and used without the need for duplicated effort.


NHS England rushes to hide software over AI hacking fears

New Scientist

NHS England is hurriedly withdrawing all the software it has written from public view because of the perceived risk of hacking from cutting-edge artificial intelligence. Security experts say the move is unnecessary and counterproductive. Software produced by the National Health Service has previously been made open-source and listed on GitHub because it is created with public money. This allows other organisations to build upon it and make better services more cheaply without duplicating effort. But NHS England has issued new guidance to staff, which has been shared with, that demands existing and future software be pulled from public view and kept behind closed doors.





X-Ray: ASequential3DRepresentationFor Generation

Neural Information Processing Systems

We introduce X-Ray, a novel 3D sequential representation inspired by the penetrability of x-ray scans. X-Ray transforms a 3D object into a series of surface frames atdifferent layers, making itsuitable for generating 3D models from images.