If a computer gives you all the right answers, does it mean that it is understanding the world as you do? This is a riddle that artificial intelligence scientists have been debating for decades. And discussions of understanding, consciousness, and true intelligence are resurfacing as deep neural networks have spurred impressive advances in language-related tasks.
Many scientists believe that deep learning models are just large statistical machines that map inputs to outputs in complex and remarkable ways. Others beg to differ, arguing that large language models have a great deal to teach us about "the nature of language, understanding, intelligence, sociality, and personhood."
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