mlsanityData to 7 Oct 2026

Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models

arXiv 2408.09605 ↗First posted 18 Aug 2024cs.AIcited by 7

On the map: LLM reasoning → Reasoning benchmarks and evaluation

Abstract (arXiv)

Does the capacity to think require the capacity to sense? A lively debate on this topic runs throughout the history of philosophy and now animates discussions of artificial intelligence. I argue that in principle, there can be pure thinkers: thinkers that lack the capacity to sense altogether. I also argue for significant limitations in just what sort of thought is possible in the absence of the capacity to sense. Regarding AI, I do not argue directly that large language models can think or understand, but I rebut one important argument (the argument from sensory grounding) that they cannot. I also use recent results regarding language models to address the question of whether or how sensory grounding enhances cognitive capacities.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 2 of its 18 references that are in the map. First posted on arXiv 18 Aug 2024.

Builds on

2 of 18 references.

References · 2

  1. 2022Meaning without reference in large language modelscited by 76
  2. 2020Word meaning in minds and machinescited by 51

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 3; 2026: 1.

7 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Language and Thought: The View from LLMs
  2. 2025Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
  3. 2026Intelligence Requires Grounding But Not Embodiment
  4. 2024Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
  5. 2024Position: Theory of Mind Benchmarks are Broken for Large Language Models
  6. 2024A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
  7. 2024"Understanding AI": Semantic Grounding in Large Language Models
  8. 2024Language Models Don't Learn the Physical Manifestation of Language