The Embodied AI Fallacy: Why Language Models Don't Know What 'Heavy' Means (and Why That Matters)
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You ask an AI: "Is a bowling ball heavier than a feather?" It says: "Yes." You ask: "Why?" It says: "Because a bowling ball has more mass." It is correct. It is also hollow. The AI has never lifted a bowling ball. It has never felt the weight of a feather. It knows the definition of heavy. It does not know the experience of heavy. This is the embodied AI fallacy. Language models are smart. But they are not embodied. They do not know what it is like to be in a body. This matters. Physical…
1Key Takeaways
- You ask an AI: "Is a bowling ball heavier than a feather?" It says: "Yes." You ask: "Why?" It says: "Because a bowling ball has more mass." It is correct.
- The AI has never lifted a bowling ball.
- It has never felt the weight of a feather.
- It does not know the experience of heavy.
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that you ask an AI: "Is a bowling ball heavier than a feather?" It says: "Yes." You ask: "Why?" It says: "Because a bowling ball has more mass." It is correct.
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