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French AI company Mistral has released its latest model, Large four, available for direct download so organisations can run it on their own hardware. The pitch is straightforward: keep your sensitive data in-house while still accessing advanced coding and cyber-defence capabilities. For companies wary of sending proprietary information to third-party servers, that kind of control matters.
Meanwhile, a new report from the Sierra Club is raising serious alarms about the environmental cost of America's AI ambitions. By two thousand thirty, the buildout of US data centres could be pumping out as much carbon dioxide as the entire nation of Mexico, potentially erasing fifteen years of hard-won progress on greenhouse gas emissions. It's a stark reminder that every AI query carries a carbon footprint that adds up fast.
And on a smaller scale, the New York Times is testing an AI feature inside its Cooking app that suggests ingredient substitutions and adjusts recipes on the fly. It sounds convenient, but it's already stirred debate among loyal users who worry about what happens when an algorithm starts rewriting a trusted recipe. The tension between personalisation and culinary integrity turns out to be surprisingly real.
Stay curious, stay critical. Keep surfing. Tech Beat out.
