Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition
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Abstract (arXiv)
Recent advances in LLMs have sparked a debate on whether they understand text. In this position paper, we argue that opponents in this debate hold different definitions for understanding, and particularly differ in their view on the role of consciousness. To substantiate this claim, we propose a thought experiment involving an open-source chatbot Z which excels on every possible benchmark, seemingly without subjective experience. We ask whether Z is capable of understanding, and show that different schools of thought within seminal AI research seem to answer this question differently, uncovering their terminological disagreement. Moving forward, we propose two distinct working definitions for understanding which explicitly acknowledge the question of consciousness, and draw connections with a rich literature in philosophy, psychology and neuroscience.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 12 of its 48 references that are in the map. First posted on arXiv 1 Mar 2024.
Builds on
12 of 48 references.
References · 12
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Citing papers per year: 2026: 2.
2 papers.
- 2026Motivation in Large Language Modelscited by 0
- 2026Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinesecited by 0
- 2026Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese5 Jun 2026
- 2026Motivation in Large Language Models15 Mar 2026