When an AI system produces an eloquent paragraph or a sharp forecast, it feels intelligent. But that’s an illusion born of fluent output. The model isn’t thinking; it’s statistically imitating the structure of thought. It doesn’t know truth, only probability. If you ask it for a credit summary, it predicts which sequence of words most often follows “credit summary” in its training data. Its strength is correlation, not comprehension. Treating correlation as comprehension is the first cognitiv...
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When an AI system produces an eloquent paragraph or a sharp forecast, it feels intelligent. But that’s an illusion born of fluent output. The model isn’t thinking; it’s statistically imitating the structure of thought. It doesn’t know truth, only probability. If you ask it for a credit summary, it predicts which sequence of words most often follows “credit summary” in its training data. Its strength is correlation, not comprehension. Treating correlation as comprehension is the first cognitiv...
This episode provides an introduction to AI hallucinations, explaining what they are, how they manifest, and why they pose challenges in AI applications. Listeners will gain foundational knowledge necessary to delve deeper into the causes of AI hallucinations from both data and model perspectives. Support the show Visit https://acalytica.com
Acalytica Lounge
When an AI system produces an eloquent paragraph or a sharp forecast, it feels intelligent. But that’s an illusion born of fluent output. The model isn’t thinking; it’s statistically imitating the structure of thought. It doesn’t know truth, only probability. If you ask it for a credit summary, it predicts which sequence of words most often follows “credit summary” in its training data. Its strength is correlation, not comprehension. Treating correlation as comprehension is the first cognitiv...
