The analogy I've been using is the fact that perhaps an equivalent event in the history of humanity to what might be provided by Generalization of AI… - Yann LeCun

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The analogy I've been using is the fact that perhaps an equivalent event in the history of humanity to what might be provided by Generalization of AI assistant is the invention of the printing press. It made everybody smarter.

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About Yann LeCun

Yann André LeCun (born 8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta. LeCun received the 2018 Turing Award, together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. The three are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning.

Also Known As

Alternative Names: LeCun • YL Cun • Yann L. Cun • Y. LeCun • Y LeCun • Yann André LeCun • Yann André Le Cun • Y. Le Cun • Yann A. LeCun • Yann Andre LeCun • Yann Andre Le Cun
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Additional quotes by Yann LeCun

[Large language models] require enormous amounts of data to reach a level of intelligence that is not that great in the end. And they can't really reason. They can't plan anything other than things they’ve been trained on. So they're not a road towards what people call “AGI.”
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Many of the papers that make it passed the review process are [good but boring] papers that bring an improvement to a well-established technique... Truly innovative papers rarely make it, largely because reviewers are unlikely to understand the point or foresee the potential of it.
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