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Astrophysicists are sounding a serious alarm about artificial intelligence, with some researchers warning it could lead to nothing less than the death of their field. The concern isn't just about job displacement — it's deeper. Scientists fear AI is eroding the kind of slow, careful reasoning that makes astrophysics work in the first place, reshaping how research gets done, how papers get written, and how the next generation learns to think.
That anxiety echoes across tech careers broadly. Engineers at Google, NVIDIA, and IBM are fielding a question from new students: is software engineering still worth pursuing? The consensus is nuanced. These are not fields disappearing overnight, but the bar is rising. Understanding the architecture beneath the tools matters more than ever, and those who treat large language models as a shortcut rather than a starting point may find themselves in trouble.
Meanwhile, the infrastructure powering all of this AI is facing a different kind of resistance. Americans across dozens of states are pushing back against new data centers, citing noise, water use, and strained power grids. The opposition is growing, but so is the money — and for many local governments, the revenue is proving very hard to turn down.
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