Yann LeCun resumes war of words with Gary Marcus
I dont engage in vacuous debates. Nor do I speculate about vague hypothetical proposals. I build stuff. You should try it sometimes: Yann LeCun to Gary Marcus. You have all the resources in the world. I don’t. But that doesn’t make your approach correct: Gary Marcus to Yann LeCun After a brief lull, the war of words between Gary Marcus, a professor of Neural Science at NYU and an AI critic, and Yann LeCun, chief AI scientist at Meta, has resumed. Marcus is known for his beefs with AI researchers. Recently, he took a jab at LeCun and tagged him in a video of a Tesla crashing into a private jet. today, @ylecun: “Not only is AI not "hitting a wall",  cars with AI-powered driving assistance aren't hitting walls, or anything else, either.”@tesla, last week: oops https://t.co/guHpCTqNCl— Gary Marcus (@GaryMarcus) May 7, 2022 In 2021, Marcus published an article on Nautilus, titled ‘Deep Learning Is Hitting a Wall’. The article spoke about the (wrong) direction the AI industry is headed. He cited the failure of self-driving cars to make his case. LeCun responded to the Tweet: don’t doubt that the particular statistic but this part is simply not factual: “cars with AI-powered driving assistance aren't hitting walls, or anything else, either.”— Gary Marcus (@GaryMarcus) May 8, 2022 Marcus also responded by asking LeCun, “Also, is it a pure convnet or a hybrid system?” In his 2017 debate with LeCun at the NYU Mind, Brain and Consciousness, Marcus had argued for the need for an innate machinery to push the boundaries of AI. A year later, LeCun responded to Marcus’ critique of deep learning, saying ‘the number of valuable recommendations ever made by Gary Marcus is exactly zero.’ In response to a comment on Marcus’ recent Tweet, LeCun said: “Deep Learning is a super-hot topic in radiology these days. If radiologists feel insulted by AI, why did they invite me to give a keynote at the Int. Soc. Magnetic Resonance Imaging conference?” Here’s how their Twitter debate unfolded. i have confirmed through very knowledgeable sources that the Intel/MobileEye system is indeed a complex hybrid system, in which convnets are only part of what’s going on.— Gary Marcus (@GaryMarcus) May 8, 2022 Empty semantics.Obviously, *any* complete AI system, even one built around a big neural net, will have all kinds of other code around it.It's particularly true of systems designed to act in the real-world.Basic engineering, really.This is a completely vacuous debate.— Yann LeCun (@ylecun) May 8, 2022 You obviously never read a single one of the papers of mine that you have been criticizing. One thing for you to disagree, another to show a lack of awareness of what the person you disagree with is saying.— Gary Marcus (@GaryMarcus) May 8, 2022 You obviously never engineered nor built a working AI system.Arguments in favor "hybrid systems" are non-falsifiable strawmen, whose only purpose to allow the author to declare victory regardless of the outcome.As I said, this debate is vacuous.— Yann LeCun (@ylecun) May 8, 2022 i have laid out definitions of neurosymbolic hybrids, but Yann has not engaged with them.— Gary Marcus (@GaryMarcus) May 8, 2022 I dont engage in vacuous debates.Nor do I speculate about vague hypothetical proposals.I build stuff.You should try it sometimes.— Yann LeCun (@ylecun) May 8, 2022 you have all the resources in the world. I don’t.but that doesn’t make your approach correct.— Gary Marcus (@GaryMarcus) May 8, 2022
In 2021, Marcus published an article on Nautilus, titled ‘Deep Learning Is Hitting a Wall’.
In 2021, Marcus published an article on Nautilus, titled ‘Deep Learning Is Hitting a Wall’.
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Avi Gopani is a technology journalist that seeks to analyse industry trends and developments from an interdisciplinary perspective at Analytics India Magazine. Her articles chronicle cultural, political and social stories that are curated with a focus on the evolving technologies of artificial intelligence and data analytics.