Powers of the Soul Beyond AI

Could Large Language Models (LLMs) exhibit rational characteristics traditionally attributed to the human soul? I argue that five features of human rationality will likely remain beyond LLMs and other adaptive physical systems. Insight into truth: using billions of pages of text, a LLM may harvest a sound rule of inference. However the LLM has no insight into why the rule is true. Meta-insight: both humans and machines can follow instructions that constitute an infinite loop. Yet humans can, but machines cannot, recognize that they are in an infinite loop. Free will: once humans realize they are trapped in a loop, they can exercise free will to break out of the loop. By contrast, when a machine is trapped in an infinite loop, an external intervention is required to end the task. Access to necessary conceptual relations: LLMs are inductive learners and cannot justify universal necessary truths. By contrast, a human being can, via insight, see that a conceptual relation is necessarily true. Non-combinatorial creativity: LLMs can recombine the products of human creativity in amazing ways. But unlike humans, they cannot use universal concepts to find a possible item that is not derived from items already instantiated in the world.

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Publication Details

Journal
Religions
Published
2025-12-22
DOI
https://doi.org/10.3390/rel17010008
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
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article

Powers of the Soul Beyond AI

Angus Menuge
Religions
Language and cultural evolution
article

Powers of the Soul Beyond AI

Angus Menuge
article en

Abstract

Could Large Language Models (LLMs) exhibit rational characteristics traditionally attributed to the human soul? I argue that five features of human rationality will likely remain beyond LLMs and other adaptive physical systems. Insight into truth: using billions of pages of text, a LLM may harvest a sound rule of inference. However the LLM has no insight into why the rule is true. Meta-insight: both humans and machines can follow instructions that constitute an infinite loop. Yet humans can, but machines cannot, recognize that they are in an infinite loop. Free will: once humans realize they are trapped in a loop, they can exercise free will to break out of the loop. By contrast, when a machine is trapped in an infinite loop, an external intervention is required to end the task. Access to necessary conceptual relations: LLMs are inductive learners and cannot justify universal necessary truths. By contrast, a human being can, via insight, see that a conceptual relation is necessarily true. Non-combinatorial creativity: LLMs can recombine the products of human creativity in amazing ways. But unlike humans, they cannot use universal concepts to find a possible item that is not derived from items already instantiated in the world.

ReligionsVol. 17(1)
Concordia University Wisconsin (US), University of Wisconsin System (US)
Quality Education
Openalex Percentile: Top 23%
Language and cultural evolution
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Powers of the Soul Beyond AI — Angus Menuge · Religions (2025) | TGRS Research Map | TGRS