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Why does AI feel like it understands us—even when it doesn’t? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore the illusion at the heart of large language models: their ability to produce language that sounds intelligent without ever engaging the world it describes.
Drawing on ideas from Yann LeCun and John Searle, this episode unpacks the difference between fluency and understanding, correlation and causation, symbols and experience. AI systems can map language with extraordinary precision—but they never touch the terrain of reality itself.
The words may feel right. The meaning may feel real. But the understanding—always—remains human.
📖 Read the full Author's Cut here.
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