I don't like to call [human intelligence] AGI because human intelligence is not general at all. - Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning

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I don't like to call [human intelligence] AGI because human intelligence is not general at all.

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About Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning

Yann André LeCun (originally spelled Le Cun; 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.

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Alternative Names: #258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning
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Don't get fooled by people who claim to have a solution to Artificial General Intelligence, who claim to have AI systems that work "just like the human brain", or who claim to have figured out how the brain works (well, except if it's Geoff Hinton making the claim). Ask them what error rate they get on MNIST or ImageNet.

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[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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