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Intelligence Requires Grounding But Not Embodiment

arXiv 2601.17588 ↗First posted 24 Jan 2026cs.AI cs.CLcited by 0

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Abstract (arXiv)

Recent advances in LLMs have reignited scientific debate over whether embodiment is necessary for intelligence. We present the argument that intelligence requires grounding, a phenomenon entailed by embodiment, but not embodiment itself. We define intelligence as the possession of four properties -- motivation, predictive ability, understanding of causality, and learning from experience -- and argue that each can be achieved by a non-embodied, grounded agent. We use this to conclude that grounding, not embodiment, is necessary for intelligence. We then present a thought experiment of an intelligent LLM agent in a digital environment and address potential counterarguments.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 54 references that are in the map. First posted on arXiv 24 Jan 2026.

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References · 8

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Training language models to follow instructions with human feedbackcited by 15,971
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  4. 2017Deep reinforcement learning from human preferencescited by 3,912
  5. 2022Large Language Models Can Self-Improvecited by 664
  6. 2020Experience Grounds Languagecited by 242
  7. 2023From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thoughtcited by 119
  8. 2025Large Language Models Pass the Turing Testcited by 48

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  1. 2024Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models
  2. 2025Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
  3. 2025Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition
  4. 2024Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
  5. 2022A World-Self Model Towards Understanding Intelligence
  6. 2024"Understanding AI": Semantic Grounding in Large Language Models
  7. 2026Grounding What Shapes the Plan: Rethinking Groundedness for Physical Intelligence in Autonomous Driving
  8. 2025Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI