Summary of Metagoals Endowing Self-modifying Agi Systems with Goal Stability or Moderated Goal Evolution: Toward a Formally Sound and Practical Approach, by Ben Goertzel
Metagoals Endowing Self-Modifying AGI Systems with Goal Stability or Moderated Goal Evolution: Toward a Formally Sound and Practical Approach
by Ben Goertzel
First submitted to arxiv on: 21 Dec 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 A novel approach to developing Artificial General Intelligence (AGI) systems is presented, focusing on creating machines that can adapt and modify themselves while maintaining essential characteristics. The authors propose specific “metagoals” aimed at addressing this challenge, with the ultimate goal of designing AGI systems that balance self-modification capabilities with the preservation of desirable properties. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial General Intelligence (AGI) is a type of super smart computer program that can do anything a human can. Scientists are working on creating AGI systems that can adapt and change themselves, but also remember what’s important. This paper explains how to make sure these systems don’t forget the things that are most important. |
