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Security researchers are sounding a serious alarm this week. A new analysis suggests artificial intelligence has already compressed the time it takes to weaponize a newly disclosed software vulnerability from roughly a year down to a single day — and projections warn that window could shrink to about one minute by two thousand twenty seven. That is not a gradual shift. That is a collapse of the entire model that defenders have relied on for decades.
On a different front, a growing body of research is drawing a striking parallel between how large language models process meaning and how the human brain does the same thing. Using sparse autoencoders, scientists have mapped semantic patterns in AI systems onto corresponding regions of the cortex, suggesting these two very different architectures may be converging on similar solutions for organizing language and concept. The implications for both neuroscience and AI design are significant.
And in retail, the boss of clothing giant Next is warning that a dramatic drop in entry-level jobs — driven by rising employment costs and accelerating automation — risks tipping young workers out of the labor market entirely. It is a reminder that automation's human cost does not always arrive as a headline. Sometimes it just quietly closes the door on a first job.
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