Lex Fridman Podcast #94 – Ilya Sutskever: Deep Learning
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May 8, 2020 
Ilya Sutskever, co-founder and chief scientist of OpenAI, is a pioneering figure in deep learning with an impressive citation record. In the discussion, he delves into the breakthroughs in neural networks, contrasting them with human brain functionalities. Sutskever explores the complexities of language versus vision in AI, the evolution of language models, and ethical concerns surrounding AI advancements. He also reflects on the potential impact of artificial general intelligence and the importance of aligning AI with human values, mixing insights with humor along the way.
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AlexNet and Deep Learning Revolution
- Ilya Sutskever, Alex Krizhevsky, and Geoff Hinton co-authored the AlexNet paper.
- This 2012 paper marked a pivotal moment, launching the deep learning revolution.
Training Large Neural Networks
- Training large, deep neural networks end-to-end with backpropagation is possible.
- A larger neural network can represent more complex functions, similar to the human brain processing information.
Cost Functions in Deep Learning
- Cost functions are crucial for training neural networks by measuring performance.
- However, some systems like GANs and biological evolution may not have easily definable cost functions.
