Unverified50% confidenceFactExact time
Layla's official claim of a calibration error of 0.081 outperforming Jev is the result after re-fitting the temperature; the native calibration error is actually worse than Jev's, and the multilingual version ships with an empty temperature table, causing probability collapse.
1
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50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
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Related Claims
UnverifiedAfter fine-tuning on the Typed Decisions dataset, Layla scores 0.766, but the untuned base model scores only around 0.35, which is lower than the baseline of 0.461 obtained by always guessing the majority option.57% similarUnverifiedThe simple 3-rule baseline used for comparison achieved an accuracy of only 64.4%, with Jev leading by approximately 8 percentage points.57% similarUnverifiedIn LEBRON's analytical derivation stage, Wang deliberately uses the relatively less capable Sonnet with temperature set to 0, while the auditor and reasoning tasks are assigned to Opus.56% similar
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