Yann LeCun Cherry-picks Reinforcement Learning 

LeCun clearly is at odds with reinforcement learning and believes that for AI with common sense, it is not the way forward
The self-supervised learning guru and chief AI scientist at Meta AI, Yann LeCun, introduced the ‘cake analogy’, at NIPS 2016. “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning.” However, while delivering a talk about SSL at NeurIPS 2022 in the context of achieving AGI, LeCun suggested abandoning the four most popular things at the momentum machine learning, including generative models, probabilistic models, contrastive methods, and reinforcement learning, Mofijul Islam pointed out on Twitter.  To this, LeCun replied saying that he is not entirely unfamiliar with making statements that go against the common wisdom of the day.  Meanwhile, seve
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Picture of Mohit Pandey
Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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