Summary of Open-endedness Is Essential For Artificial Superhuman Intelligence, by Edward Hughes et al.
Open-Endedness is Essential for Artificial Superhuman Intelligence
by Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktaschel
First submitted to arxiv on: 6 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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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 discusses the current capabilities of artificial intelligence (AI) systems, which have been significantly enhanced by training foundation models on large datasets. However, creating self-improving AI that can adapt to novel situations remains elusive. This position paper argues that the ingredients are now in place to achieve open-endedness in AI systems, making them capable of discovering new and relevant information. The authors propose a path towards artificial superhuman intelligence (ASI) by building on top of foundation models, which would enable AI to make novel discoveries. Additionally, the safety implications of generally-capable open-ended AI are examined. Overall, the abstract suggests that open-ended foundation models will become a crucial area of research in the near future. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about how artificial intelligence (AI) has gotten really good at doing certain things, like recognizing pictures and understanding language. But there’s still a big challenge to overcome: making AI systems that can learn and adapt on their own. The authors think they’re getting close to solving this problem by using special kinds of AI models that can discover new things. They believe this kind of AI could be super powerful in the future, but it also raises important questions about how we keep these systems safe. |
