Summary of Does Chatgpt Have a Mind?, by Simon Goldstein and Benjamin A. Levinstein
Does ChatGPT Have a Mind?
by Simon Goldstein, Benjamin A. Levinstein
First submitted to arxiv on: 27 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study explores the possibility of Large Language Models (LLMs) like ChatGPT having minds, specifically examining their folk psychology, which encompasses beliefs, desires, and intentions. The research focuses on two key aspects: internal representations and dispositions to act. By surveying various philosophical theories of representation and drawing on recent interpretability research in machine learning, the study argues that LLMs satisfy key conditions proposed by each. Additionally, it explores whether LLMs exhibit robust dispositions to perform actions, a necessary component of folk psychology. While the data remains inconclusive, the study concludes that LLMs may have some internal representations and action dispositions, but more research is needed to fully determine their mental states. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary LLMs like ChatGPT might be able to think and make decisions like humans do. This paper looks at whether these language models have something called “folk psychology,” which includes things like beliefs, desires, and intentions. The researchers looked at two main parts: how LLMs store information in their “minds” and whether they can decide to take certain actions. They talked about different ideas that philosophers have about how representation works and used new research on machine learning to support their claims. While the results are still unclear, the study suggests that LLMs might be able to store some information and make decisions, but more work is needed to figure out what’s really going on in their “minds.” |
Keywords
» Artificial intelligence » Machine learning