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AI attacks on the rise

A survey of cybersecurity bosses has shown that 62 percent reported attacks on their staff using AI over the last year, either by the use of prompt injection attacks or faking out their systems using phony audio or video generated by AI.…

An analysis of a literature database finds that text-generating AI tools -- including ChatGPT and Gemini -- can be used to rewrite scientific papers and produce 'copycat' versions that are then passed off as new research. Nature: In a preprint posted on medRxiv on 12 September, researchers identified more than 400 such papers published in 112 journals over the past 4.5 years, and demonstrated that AI-generated biomedicine studies could evade publishers' anti-plagiarism checks. The study's authors warn that individuals and paper mills -- companies that produce fake papers to order and sell authorships -- might be exploiting publicly available health data sets and using large language models (LLMs) to mass-produce low-quality papers that lack scientific value. "If left unaddressed, this AI-based approach can be applied to all sorts of open-access databases, generating far more papers than anyone can imagine," says Csaba Szabo, a pharmacologist at the University of Fribourg in Switzerland, who was not involved in the work. "This could open up Pandora's box [and] the literature may be flooded with synthetic papers."

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Security vendor's no good, very bad week year

SonicWall on Monday released a firmware update that the security vendor says will remove rootkit malware deployed in recent attacks targeting Secure Mobile Access (SMA) 100 appliances.…

Microsoft has successfully tested a microfluidic cooling system that removed heat up to three times better than cold plates currently used in datacenters. The technology etches tiny channels directly into silicon chips, allowing cooling liquid to flow directly onto the heat source. In lab tests announced September 23, 2025, the system reduced the maximum temperature rise inside GPUs by 65%. The channels, roughly the width of human hair, were optimized using AI to create bio-inspired patterns resembling leaf veins. Microsoft collaborated with Swiss startup Corintis on the design. The cooling fluid can operate at temperatures as high as 70C (158F) while maintaining effectiveness. The company demonstrated the technology on servers running Microsoft Teams services, where the improved cooling enables overclocking during demand spikes that occur when meetings start on the hour and half-hour. Microsoft is investigating incorporating microfluidics into future generations of its first-party chips as the company plans to spend over $30 billion on capital expenditures this quarter.

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Pope Leo XIV declined to authorize an AI avatar that would have provided virtual papal audiences to Catholics worldwide. The first American pontiff rejected the proposal during an interview with papal biographer Elise Allen. "Someone recently asked authorization to create an artificial me so that anybody could sign onto this website and have a personal audience with 'the Pope,'" he said. "This artificial intelligence Pope would give them answers to their questions, and I said, 'I'm not going to authorize that.'" The Pope expressed broader concerns about AI's societal impact. He warned that automation could leave only a few people able to live meaningful lives while others merely survive. These concerns influenced his papal name choice, taking inspiration from Pope Leo XIII, who authored Rerum novarum addressing workers' rights during the Industrial Revolution. Leo XIV maintained he isn't opposed to technological innovation but believes links between faith, humanity, and science must be preserved.

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Tried by two-thirds of firms, ignored by most devs, and productivity barely moved

Software development was one of the first areas to adopt generative AI, but the promised revolution has so far delivered only modest productivity gains, and Bain says only a full rethink of the software lifecycle will shift the dial.…

Nearly a quarter of workers aged 18-34 fear they'll lose their jobs to AI within two years, according to a Deutsche Bank survey of 10,000 people across the US and major European economies. The survey, conducted from June through August, found 24% of younger respondents scored their concern at 8 or above on a 10-point scale, compared to just 10% among workers 55 and older. Workers anticipate growing AI risk over time. 22% expressed high concern over a five-year horizon versus 18% for the two-year timeframe, the bank wrote in a report, reviewed by Slashdot. Americans show greater concern than Europeans across all time periods, scoring roughly five percentage points higher. The survey also revealed major differences in AI adoption patterns. The US leads workplace adoption at 56%, while Spain shows the highest home adoption at 68% over three months. Germany and the UK demonstrate contrasting behaviors -- both countries report similar home usage above 50%, but workplace adoption differs significantly at 41% for Germany versus 5% for the UK. Training gaps persist across regions. Only one in four European respondents has received AI training at work compared to nearly one in three Americans, though 52% of Europeans and 54% of Americans want employer-led AI training.

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Abstract of a paper on pre-print server Arxiv: Elites disproportionately influence policymaking, yet little is known about their fairness and efficiency preferences -- key determinants of support for redistributive policies. We investigate these preferences in an incentivized lab experiment with a group of future elites -- Ivy League MBA students. We find that MBA students implement substantially more unequal earnings distributions than the average American, regardless of whether inequality stems from luck or merit. Their redistributive choices are also highly responsive to efficiency costs, with an effect that is an order of magnitude larger than that found in representative U.S. samples. Analyzing fairness ideals, we find that MBA students are less likely to be strict meritocrats than the broader population. These findings provide novel insights into how elites' redistributive preferences may shape high levels of inequality in the U.S.

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