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Geoffrey Hinton, the Nobel Prize-winning computer scientist often called the Godfather of AI, is once again sounding the alarm. Speaking on CNN, Hinton warned that if humanity fails to solve the safety problem, there is a real possibility artificial intelligence could destroy us. These are not the words of a fringe critic — they come from the man whose decades of foundational work made modern AI possible.
That tension between AI's promise and its risks plays out differently in medicine. A new piece in the Times argues that being a doctor will never be the same after AI, and the shift is already underway for medical students. The question isn't whether AI enters the exam room — it's what happens to human judgment, intuition, and accountability when it does.
Meanwhile, the infrastructure powering all of this intelligence is straining the grid in ways few anticipated. US power companies are scrambling to secure equipment as surging demand from data centers pushes electrical systems toward their limits. The race to build smarter machines is quietly becoming a very physical problem about copper, transformers, and kilowatts.
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