Linking pages
- Why are deep learning technologists so overconfident? https://aisnakeoil.substack.com/p/why-are-deep-learning-technologists 153 comments
- We're Not Platonists, We've Just Learned The Bitter Lesson https://astralcodexten.substack.com/p/were-not-platonists-weve-just-learned 136 comments
- GPT-2 and the Nature of Intelligence https://thegradient.pub/gpt2-and-the-nature-of-intelligence/ 56 comments
- Building AI systems that work is still hard | TechCrunch https://techcrunch.com/2018/01/01/building-ai-systems-that-work-is-still-hard/?ncid=rss&sr_share=facebook 1 comment
- Machine Learning is Fun Part 5: Language Translation with Deep Learning and the Magic of Sequences | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-5-language-translation-with-deep-learning-and-the-magic-of-sequences-2ace0acca0aa 1 comment
- Deep Consequences. Why Neural Networks are Good for… | by Felix Hill | Medium https://medium.com/@felixhill/deep-consequences-fa823a588e97#.txudjod3m 0 comments
- To understand AI’s problems look at the shortcuts taken to create it https://theconversation.com/to-understand-ais-problems-look-at-the-shortcuts-taken-to-create-it-204882 0 comments
- Chasing the Numbers: The Puzzle of AI Benchmarks https://evalovernite.substack.com/p/ai-benchmarks-puzzle 0 comments
- Adapt or Obsolete: The Imperative of Updating Your Priors in the Age of Scaling Compute https://leehanchung.github.io/blogs/2024/10/06/update-your-priors/ 0 comments
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