Summary of The Inherent Goodness Of Well Educated Intelligence, by Michael E. Glinsky
The inherent goodness of well educated intelligence
by Michael E. Glinsky
First submitted to arxiv on: 9 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Physics and Society (physics.soc-ph)
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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 The abstract proposes a novel approach to understanding intelligence, whether in biological or artificial entities. It highlights the importance of collective behavior and the need for systems to “know the global consequences of local actions.” The authors suggest that controlling collective conservative systems is challenging, but achievable by identifying optimal states and then quickly vibrating the system to maintain those states. The abstract also emphasizes the distinction between well-educated intelligence, which prioritizes long-term outcomes, and trained stupidity, which optimizes short-term gains at the expense of long-term consequences. The findings have implications for optimizing economic, social, and physical collectives. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Intelligence is about making good choices that benefit everyone in the long run. This paper explores what makes something intelligent, whether it’s a living being or a computer program. It focuses on how groups of identical parts work together to achieve a common goal. The authors suggest that true intelligence involves understanding how our actions affect the bigger picture and taking steps to ensure positive outcomes. They propose an alternative approach to controlling complex systems, which is more effective than traditional methods. This research has important implications for managing social and economic collectives, as well as physical systems like fluids and plasmas. |
