AI self-learns from the Internet | Andrej Karpathy and Lex Fridman | Summary and Q&A

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October 31, 2022
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Lex Clips
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AI self-learns from the Internet | Andrej Karpathy and Lex Fridman

TL;DR

The internet contains a vast amount of data, but relying solely on text may not provide a complete understanding of human civilization. Incorporating audio, video, and images may be necessary for more powerful AI systems.

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Questions & Answers

Q: Does the internet have enough structured data to teach AI about human civilization?

While the internet contains a vast amount of data, relying solely on text may not provide a complete understanding. Audio, video, and images are also necessary, as not all information is explicitly written.

Q: Can AI models learn common sense?

Common sense is often learned through interaction with the world, rather than being explicitly taught. AI models may need to infer common sense by reading about how people interact with the world.

Q: Can AI systems interact with the internet to enhance learning?

The ability for AI systems to interact with the internet is seen as the final frontier. Giving neural networks access to keyboards and mice may enable them to perform actions on web interfaces and learn more efficiently.

Q: What were the challenges faced in training AI systems to interact with the internet?

Early attempts at training AI systems to interact with the internet using reinforcement learning proved to be inefficient. Sparse rewards and the complexity of web interfaces made it difficult for agents to learn. However, advancements in pre-trained models like GPT have renewed interest in this area.

Summary & Key Takeaways

  • The internet offers a huge amount of data, but text alone may not be sufficient for training sufficiently powerful AI systems.

  • Video, images, and audio can provide additional information, but models that encompass all modalities have yet to be fully trained.

  • Common sense or shared understanding of the world may need to be inferred rather than explicitly taught for AI models.

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