Chapter

Discovering Functions within Neural Networks
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37:30 - 44:37 (07:06)

Christopher Oleg's work on interpretability of neural networks allows for the identification and extraction of specific functions, such as detecting a wheel or mask for a car, within a larger network.

Clips
Neural networks are capable of discovering complex functions within programs, and can create human-like behaviors with the help of stochastic gradient descent algorithm.
37:30 - 44:37 (07:06)
listen on Spotify
Neural Networks
Summary

Neural networks are capable of discovering complex functions within programs, and can create human-like behaviors with the help of stochastic gradient descent algorithm. Furthermore, researchers have been able to identify individual detectors within these networks such as a detector for a car wheel.

Chapter
Discovering Functions within Neural Networks
Episode
#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI
Podcast
Lex Fridman Podcast