🤖 MIT: The Next Big Leap for Generative AI
At MIT’s Generative AI Impact Symposium, Yann LeCun and others argued that the “scale it bigger” trend is slowing. The next frontier could be world models - AI that learns by interacting with its environment, a little like toddlers. Guardrails, bias, and hallucinations were also hot topics… because nobody wants an overconfident chatbot piloting a drone.
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⚙️ Efficiency Paradox: AI Gets Faster, We Use It More
Jon Ippolito (University of Maine) warned about the Jevons paradox creeping into AI. Basically, the more efficient and cheaper AI becomes, the more everyone will actually use it - potentially spiking demand instead of curbing it. Like making cars fuel-efficient and then everyone just drives more. Weirdly circular.
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🎓 Harvard: By 2050, Schools Could Look Nothing Like Today
Harvard’s Howard Gardner and colleagues sketched a wild education future: by 2050, AI might handle most core cognitive tasks - analysis, synthesis, even creativity. That means schooling could pivot away from tests and rote memorization toward… who knows what. Character? Values? Human quirks? The jury’s out, but the classroom as we know it may dissolve.
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