Difference between revisions of "Scaling hypothesis"
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Revision as of 03:28, 24 February 2021
The scaling hypothesis is one of several statements stating roughly that once we find some "scalable" architecture, throwing more computing power and data at a problem to get to AGI.
See also
- Prosaic AI -- how is the scaling hypothesis different from prosaic AI? I think the scaling hypothesis implies prosaic AI, but a prosaic AI can make use of lots of different algorithms?
External links
- https://www.gwern.net/newsletter/2020/05#scaling-hypothesis
- https://www.greaterwrong.com/posts/N6vZEnCn6A95Xn39p/are-we-in-an-ai-overhang/comment/jbD8siv7GMWxRro43
- https://www.greaterwrong.com/posts/kpK6854ArgwySuv7D/probability-that-other-architectures-will-scale-as-well-as/answer/PEqsLsDswcRNKRhje
