Summary of Interpolation, Extrapolation, Hyperpolation: Generalising Into New Dimensions, by Toby Ord
Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensions
by Toby Ord
First submitted to arxiv on: 9 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- 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 proposes a new concept called hyperpolation, which generalizes from limited data points to estimate values at new locations outside the existing data subspace. The authors highlight parallels between hyperpolation and interpolation/extrapolation, exploring its implications for creativity in arts/sciences and machine learning. They suggest that current AI systems’ limited ability to hyperpolate is connected to a lack of fundamental creativity. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new idea called hyperpolation, which helps us learn from small amounts of data and make predictions about things we’ve never seen before. It’s like drawing outside the lines you’re used to working within. The authors think this concept can help us understand how humans are creative, and that AI systems need this ability too in order to be more innovative. |
Keywords
» Artificial intelligence » Machine learning
