Ilya Sutskever is a leading researcher in the field of deep learning. In this talk, he discusses the key ideas behind deep learning's success, including the development of supervised data and compute, and the conviction of the community to use deep learning on difficult tasks. He also talks about the recent ideas in AI, including deep learning and natural language processing.
In this podcast, Lex Fridman interviews Ilya Sutskever about deep learning. Sutskever discusses the importance of attention and translation in deep learning, and how the transformer is successful because it is a combination of multiple ideas. He also talks about the potential for deep learning to transfer to the physical world, and the concept of consciousness in artificial neural networks.