When Polished Answers Feel Finished
from Inside the Black Box: Cracking AI and Deep Learning (Feed Disabled) Hosted by Arshavir Blackwell, PhD
This episode explores fluency-as-validity: the way polished AI responses can make us feel like the work of judgment is already done. It also looks at why large language models are so effective at creating the sensation of clarity, and why mechanistic interpretability may be a way to push back against that enchantment.
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This episode is 27 minutes long.
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This episode was published on April 20, 2026.
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