Episode Details

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Explore how physics offers a new framework for understanding AI reasoning and decision-making under uncertainty.
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Most AI systems jump directly from input to output, but human reasoning often unfolds in an unstable middle ground where multiple interpretations coexist. Drawing on the physics of phase transitions, this essay argues that genuine intelligence emerges during this period of uncertainty—not after it. It explores why future AI architectures may need to embrace instability instead of eliminating it.