Unverified50% confidenceFactExact time
Jeff-class products restrict output to selecting from a predefined label set, so they will only answer incorrectly with confidence rather than fabricating options from thin air (no hallucination).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/4/2026
First Seen
Valid until: 1/2/2027
Sources
Related Entities
Related Claims
UnverifiedRestricting the model's output options prevents fabrication of new categories, but does not guarantee that the selected category is useful or correct; the so-called zero hallucination merely constrains the output space.70% similarUnverifiedTo truly achieve reasoning rather than merely attaining in-distribution accuracy, it is not sufficient to simply have the hypothesis class cover the correct rules.65% similarUnverifiedProducing a valid label is only the first step; seemingly confident probability figures cannot correct wrong labels, and a higher overall score will not make individual errors disappear.65% similarUnverifiedUncensoring primarily affects a model's tendency to refuse, rather than its fundamental reasoning and generation capabilities, so capability loss is not significant for alignment-insensitive tasks such as coding.63% similar
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