成为机器人是什么感觉? 根据GPT-4的世界
1Trinity College, Hartford, CT, United States.
Frontiers in psychology
|August 23, 2024
概括
像GPT-4这样的大型语言模型 (LLM) 可能看起来很聪明,但它们缺乏时间意识,阻止了稳定的世界建模. 这表明LLM产生虚构,而不是拥有真正的理解.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 思想的哲学 思想的哲学
背景情况:
- 关于大语言模型 (LLM) 的新兴特性,如智能和意义的辩论受到不清楚定义的术语和不透明的内部流程的阻碍.
- 目前的评估通常依赖于外部因素或对LLM操作的错误假设,将其视为"黑子".
- 智能系统的一个关键特征是对环境条件的响应,即使在空间和时间上是遥远的环境条件,与主观世界 (s-worlds) 进行交互.
研究的目的:
- 通过分析他们从行为中推断出的主观世界 (s-worlds) 来评估LLM认知提出一个框架.
- 通过检查其构建稳定的感知世界的能力来研究LLM的潜在感知能力,特别是OpenAI的GPT-4.
- 探索时间意识在认知中的作用以及它在LLMs中的缺失.
主要方法:
- 通过哲学现象学和认知伦理学的透视来分析GPT-4的错误模式.
- 从其行为输出,特别是其错误中推断出 GPT-4 的主观世界 (s-world).
- 将GPT-4的认知架构与有意识生物的认知架构进行比较,重点关注时间感知.
主要成果:
- GPT-4的错误表明,它缺乏与人类相似的对时间的主观意识.
- 这种时间缺陷使得GPT-4无法构建一个稳定的,不断更新的环境模型.
- 因此,GPT-4的输出缺乏认识体系的安全性,表明它未能形成一个一致的感知世界.
结论:
- 由于GPT-4缺乏时间意识,因此无法构建一个稳定的感知世界,从而破坏了它对真正理解或感觉的要求.
- 像GPT-4这样的LLM周围的强烈的人形幻觉导致它们在协作小说创作中的使用.
- 通过他们推断的s世界来评估LLM提供了一条了解他们的认知局限性和潜力的途径.
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