From Dennett to Transformers: Emergent Properties, Kolmogorov Complexity, and the Turing-Computability of Human Intelligence

Abstract excerpt

This paper explores the Turing-computability of human cognition through the lens of the late philosopher Daniel Dennett’s computational functionalism, Kolmogorov Complexity, and recent advances in large language models (LLMs). We compare the high complexity and capacity of the human brain to the deliberate scaling of LLMs, noting that emergent properties—such as zero-shot reasoning—arise when models reach critical...

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Identifiers and source

Literature Corpus work

d9ef4304-f185-5c72-9c73-4c1f5aa59664

DOI

10.20944/preprints202502.1312.v2