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Yann LeCun, a pioneering AI researcher whose work helped build the foundations of modern neural networks, cautions that many tech companies are pursuing a misguided trajectory in artificial intelligence. In a recent interview, he argued that the industry’s heavy emphasis on large language models and similar approaches risks stalling the development of genuinely intelligent systems, urging a shift toward architectures that better understand and reason about the physical world. LeCun’s critique highlights growing philosophical divisions over how to achieve advanced AI, with implications for research priorities across Silicon Valley and beyond. Read more here.