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: Dark Matter of Intelligence and Self-Supervised Learning

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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: 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.

[Can a commercial entity] produce Wikipedia? No. Wikipedia is crowdsourced because it works. So it's going to be the same for AI systems, they're going to have to be trained, or at least fine-tuned, with the help of everyone around the world. And people will only do this if they can contribute to a widely-available open platform.

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