Assessing the nature of large language models: A caution against anthropocentrism
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Abstract (arXiv)
Generative AI models garnered a large amount of public attention and speculation with the release of OpenAIs chatbot, ChatGPT. At least two opinion camps exist: one excited about possibilities these models offer for fundamental changes to human tasks, and another highly concerned about power these models seem to have. To address these concerns, we assessed several LLMs, primarily GPT 3.5, using standard, normed, and validated cognitive and personality measures. For this seedling project, we developed a battery of tests that allowed us to estimate the boundaries of some of these models capabilities, how stable those capabilities are over a short period of time, and how they compare to humans. Our results indicate that LLMs are unlikely to have developed sentience, although its ability to respond to personality inventories is interesting. GPT3.5 did display large variability in both cognitive and personality measures over repeated observations, which is not expected if it had a human-like personality. Variability notwithstanding, LLMs display what in a human would be considered poor mental health, including low self-esteem, marked dissociation from reality, and in some cases narcissism and psychopathy, despite upbeat and helpful responses.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 14 of its 68 references that are in the map. First posted on arXiv 14 Sep 2023.
Builds on
14 of 68 references.
References · 14
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- 2022Emergent Abilities of Large Language Modelscited by 2,483
- 2022Emergent Analogical Reasoning in Large Language Modelscited by 239
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- 2023ChatGPT: Jack of all trades, master of nonecited by 204
- 2023Personality Traits in Large Language Modelscited by 166
- 2021MoEfication: Transformer Feed-forward Layers are Mixtures of Expertscited by 149
- 2022The Debate Over Understanding in AI's Large Language Modelscited by 142
- 2023Could a Large Language Model be Conscious?cited by 70
- 2023Emergent Modularity in Pre-trained Transformerscited by 37
- 2023Pushing the Limits of ChatGPT on NLP Taskscited by 27
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