Unverified50% confidenceFactExact time
The 90-95 scores come from the team's own evaluation system, while the 93.84% adoption rate describes whether modifications were made when actually adopted; the two use different measures, and neither equals proof that no defects exist.
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10/28/2026
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Related Claims
UnverifiedThe team reports that the quality scores of generated code and documentation are in the 90-95 range, and the average adoption rate of code without manual modification is 93.84%.79% similarUnverifiedThe 98% score from a single classification is the confidence level for that message's corresponding category, and does not represent an overall model accuracy of 98%.75% similarUnverifiedWhen evaluating a judge, one should look at the confusion matrix rather than just accuracy; if 90% of the samples are good answers to begin with, a judge that passes everything can still show 90% accuracy.74% similarUnverifiedA 95% confidence level means that if the same methodology were used to conduct 100 surveys, approximately 95 of them would produce results falling within the margin of error.72% similarUnverified当所有模型在某评测上都能拿90分时该评测就应退场，即基准饱和现象72% similar
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