Summary of Comment on Is Complexity An Illusion?, by Gabriel Simmons
Comment on Is Complexity an Illusion?
by Gabriel Simmons
First submitted to arxiv on: 29 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper by Bennett (2024) challenges our understanding of complexity by introducing a formal definition for policies in learning, inference, and generalization. The authors provide a mathematical proof and exhaustive search to show that correct policies do not exist even for simple tasks like supervised multi-class classification. This has significant implications for the theory, sparking discussion on potential responses and amendments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper asks if complexity is just an illusion. Researchers Bennett (2024) say it’s possible that we’re mistaken about how hard things are to learn or understand. They test this idea by looking at a simple task like classifying different types of things into categories. Surprisingly, they find that there’s no perfect way to do this, even with lots of training data. This makes us wonder if our ideas about complexity are correct and what we can do to improve them. |
Keywords
» Artificial intelligence » Classification » Generalization » Inference » Supervised
