Modern AI can write, reason, and solve complex problems with astonishing accuracy—but does it actually understand what it's doing? This episode explores the gap between AI's impressive pattern recognition and genuine comprehension, from the Chinese Room thought experiment to the limits of common sense, causality, and semantic understanding.
Discover why today's models excel at prediction rather than true intelligence, why embodied learning and world models may be the next frontier, and why human oversight remains essential when AI is used in high-stakes decisions.
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