AI Reading List (by Ilya Sutskever) - Part 5
In the fifth and last part in the AI reading list series, we continue with the next 6 items that Ilya Sutskever, former OpenAI chief scientist, gave to John Carmack. Ilya followed by saying that "If you really learn all of these, you’ll know 90% of what matters today".
References
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AI Reading List - Part 1: • AI Reading List (by Ilya Sutskever) -...
AI Reading List - Part 2: • AI Reading List (by Ilya Sutskever) -...
AI Reading List - Part 3: • AI Reading List (by Ilya Sutskever) -...
AI Reading List - Part 4: • AI Reading List (by Ilya Sutskever) -...
Reading List
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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin: https://arxiv.org/abs/1512.02595
Scaling Laws for Neural Language Models: https://arxiv.org/pdf/2001.08361
A Tutorial Introduction to the Minimum Description Length Principle: https://arxiv.org/abs/math/0406077
Machine Super Intelligence: http://www.vetta.org/documents/Machin...
Kolmogorov Complexity and Algorithmic
Randomness
: https://www.lirmm.fr/~ashen/kolmbook-...
CS231n: Convolutional Neural Networks for Visual Recognition: https://cs231n.github.io
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Contents
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00:00 - Intro
00:16 - Item 1: DeepSpeech2
00:49 - Item 2: Scaling Laws for Neural Language Models
01:29 - Item 3: Minimum Description Length Principle
02:00 - Item 4: Machine Super Intelligence
02:34 - Item 5: Kolmogorov Complexity and Algorithmic
Randomness
03:11 - Item 6: CS231n: CNNs for Visual Recognition
03:37 - Outro
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