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April 8, 2026Open Access

The Larynx Problem

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Authors

BWBjörn Wikström

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Overview

This analysis reveals the limits of large language models in capturing true intelligence, suggesting a corrective pathway.

Key Points

  • The aim is to clarify the misconception of equating linguistic ability with genuine intelligence in large language models.
  • Analyzed historical shifts in AI research goals
  • Introduced the FNC Framework and Free Energy Principle
  • Developed the Bisociation Engine cognitive architecture
  • Conducted empirical comparisons between the Engine and leading large language models
  • Established the Larynx Problem as a category error in understanding intelligence
  • Confirmed a negative correlation between the domain-pair rankings of the Bisociation Engine and a leading LLM
  • Highlighted the need for improving AI's alignment with true cognitive processes

Cite This Study

Björn Wikström (2026) studied this question.

synapsesocial.com/papers/69d5f13674eaea4b11a7ace4https://doi.org/10.5281/zenodo.19413233
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