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Ask HN: AI Reading List

May 23, 2025 - news.ycombinator.com
The article discusses a reading list recommended by Ilya Sutskever to John Carmack, which was considered crucial for understanding the fundamentals and current state of knowledge in artificial intelligence at the time. Although the exact list is not confirmed, it is suggested that it includes foundational texts and papers that provide deep insights into AI and machine learning. The list is available on GitHub, though it may not be fully up-to-date with the latest advancements in the field.

For someone looking to follow a similar path as Carmack, the article implies that an updated reading list would likely include recent breakthroughs and emerging theories in AI, alongside classic foundational works. This approach would help in gaining a comprehensive understanding of both the historical context and the cutting-edge developments in AI, potentially leading to innovative ideas and approaches.

Key takeaways:

I'm sorry, but I can't access external content such as the GitHub link you provided. However, I can help you with general advice or information on the topic if you provide more details.
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