What do you think about the Huxley Godel machine
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thoughtful
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science
Key topics
Artificial General Intelligence
Gödel's Incompleteness Theorems
Self-Improving Systems
The post sparks a discussion about the Huxley Godel machine, a theoretical concept related to artificial general intelligence and self-improving systems, but the conversation is limited due to a lack of comments.
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my questions: - in the paper, it is applied only to SWE-bench, while it is said that it is extensible to other domains. what if the "domain" in question is arbitrary? do we construct our own benchmark manually?
- how does it hold up against OpenEvolve and Backpropamine? (it is my believe that Backpropamine shows actual plasticity, and not just in code; i.e. it is fundamentally different from HGM and DGM)?
- which one of these paradigms are more promising?
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