Symbols and Algorithms: Human Language and Artificial Intelligence

Why does AI-written language feel meaningful—even when no meaning was intended? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I draw a sharp line between human language as a symbolic, cultural system and AI language as an algorithmic process of prediction.

Humans use words to mean—to refer, intend, and share understanding within a lived social world. Large language models, by contrast, generate fluent text by detecting patterns in data, not by participating in meaning. When we confuse algorithmic fluency with symbolic thought, we misunderstand both AI and ourselves.

This episode explores why machines can sound thoughtful without thinking—and why the real marvel is not artificial intelligence, but the depth and structure of human symbolic culture that makes such imitation possible.

Read the full Author’s Cut here.

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