AI's fluency masks a surprising lack of understanding
The distance between persuasive language and verified truth has always existed in human communication. But AI has made it urgent and math may be the only antidote.
Artificial intelligence systems, despite their increasingly convincing fluency, often lack genuine understanding of the information they process. This disconnect between articulate output and factual grounding leads to confidently delivered inaccuracies fabricated citations, misleading explanations, and data-based falsehoods. The ability of AI to *sound* correct is masking a fundamental problem with comprehension, a challenge that must be addressed as these systems become more prevalent. This is the honesty gap in...
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