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  1. Lex Fridman10 min

    Yann LeCun: Can Neural Networks Reason? | AI Podcast Clips

    Yann LeCun

    This presentation critiques discrete logic-based reasoning and rigid knowledge graphs in favor of continuous, gradient-based learning frameworks inspired by Jeff Hinton. It proposes that functional artificial reasoning requires working memory systems capable of episodic storage and energy minimization, citing Léon Boutou's work on learning logic-like operations within continuous spaces. The discussion concludes by highlighting the unresolved theoretical debate regarding the extent of structural bias necessary for reasoning to emerge versus learning it purely from data.