Predictive Minds: LLMs As Atypical Active Inference Agents

• URL: http://arxiv.org/abs/2311.10215v1
• Date: Thu, 16 Nov 2023 22:11:12 GMT
• Title: Predictive Minds: LLMs As Atypical Active Inference Agents
• Authors: Jan Kulveit, Clem von Stengel and Roman Leventov
• Abstract summary: Large language models (LLMs) like GPT are often conceptualized as passive predictors, simulators, or even parrots. We conceptualize LLMs by drawing on the theory of active inference originating in cognitive science and neuroscience.
• Score: 0.276240219662896
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large language models (LLMs) like GPT are often conceptualized as passive predictors, simulators, or even stochastic parrots. We instead conceptualize LLMs by drawing on the theory of active inference originating in cognitive science and neuroscience. We examine similarities and differences between traditional active inference systems and LLMs, leading to the conclusion that, currently, LLMs lack a tight feedback loop between acting in the world and perceiving the impacts of their actions, but otherwise fit in the active inference paradigm. We list reasons why this loop may soon be closed, and possible consequences of this including enhanced model self-awareness and the drive to minimize prediction error by changing the world.

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