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Alert says financial account information lifted from systems

Auction house Sotheby's says it was breached on July 24, and those behind the intrusion stole an unspecified amount of data, including Social Security numbers and financial account information.…

GenAI meets Gen Z – only one gets the job

ai-pocalypse The UK tech sector is cutting graduate jobs dramatically – down 46 percent in the past year, with another 53 percent drop projected, according to figures from the Institute of Student Employers (ISE).…

Mozilla hardens its browser and toys with AI search while closing the door on legacy systems

New versions of both Mozilla's browser and its subsidiary MZLA's messaging client are here – with some bad news for users of older kit.…

GrapheneOS, the privacy-focused Android fork once exclusive to Google Pixels, is partnering with a major Android OEM to bring its hardened, de-Googled OS to Snapdragon-powered flagship phones. Android Authority reports: Until now, GrapheneOS has been available only on Pixel phones, making Google's flagships popular among privacy enthusiasts, journalists, and, as a Spanish police report suggested earlier this year, even organized crime groups in Catalonia. But that Pixel exclusivity may end by 2026 or 2027. GrapheneOS revealed in a Reddit thread that it has been working with a "major Android OEM" since June 2025 to enable official support for "future versions of their existing models." These devices will reportedly use flagship Snapdragon chips, a notable shift from Google's in-house Tensor processors. The project explained that only Pixels have met its strict security and update requirements so far. However, the new partnership suggests that another OEM is finally matching those standards. GrapheneOS also hinted that the mysterious partner's devices will be "priced similarly to Pixels" and available globally as part of the brand's standard lineup.

Read more of this story at Slashdot.

The AI gold rush is so large that even third place is lucrative

Feature The generative AI revolution has exposed a brutal truth: raw computing power means nothing if you can't feed the beast. In sprawling AI datacenters housing thousands of GPUs, the real chokepoint isn't processing speed – it's memory bandwidth.…