An interview with Meta's chief AI scientist Yann LeCun on his critics and why today's most popular approaches to AI won't lead to human-level intelligence
(Article is updated with a rebuttal by Gary Marcus in context.) — Yann LeCun, chief AI scientist of Meta Properties, owner of Facebook … Tweets: @intuitmachine , @qhardy , @jon_y_huang , @tiernanraytech , and @intuitmachine Tweets: Carlos E. Perez / @intuitmachine : I find it curious that LeCun leans toward “energy-based” architectures, yet he cites Lagrangians as the basis of Deep Learning. Aren't energy-based formulations a Hamiltonian perspective and not Lagrangian? @ylecun https://www.zdnet.com/... Quentin Hardy / @qhardy : Also: There's no evidence that human-level AI will ever exist. https://twitter.com/... @jon_y_huang : It's fascinating to hear a father of AI continue to hammer on the need for better observational learning (rather than only experiment) as the key to progress, which of course mirrors debates in biomedicine. The ladder to the moon analogy is great. https://www.zdnet.com/... Tiernan Ray / @tiernanraytech : If you simply believe today's deep learning will scale to infinity, you would do well to consider the sage observations of a pioneer, Yann LeCun. // @ylecun // #AI #deeplearning #machinelearning #artificialintelligence https://twitter.com/... Carlos E. Perez / @intuitmachine : LeCun throws in the towel with current approaches. https://twitter.com/...