5 Surprising Ways Today's AI Fails to Actually "Think"

Large language models (LLMs) have exploded in capability, showing remarkable performance in tasks from natural language understanding to code generation. A growing body of research suggests that behind the curtain of competence lies a set of profound and counterintuitive limitations. This article explores five of the most significant failures that expose the chasm between AI performance and true, human-like understanding.

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