Yejin Choi: Teaching Machines Common Sense and Morality
The Gradient: Perspectives on AI
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Theoretical Models and Theorems
i thought it was going to salvagia then, because it just looked so intellectually appealing. But down it didn't really take off as much as we then expected. And i think it's in part because there's a huge gap between what theori is about and when you try to adapt it for real application. It turns out that beginning assumption was a huge thing that neuronatr can do far better in tems of discovering the latent representations.
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