🤖livenerf Tracks Opus 5.5 Drift Over 30 Days
Model drift detection starts today, revealing accuracy shifts
TL;DR
livenerf, a new benchmark, starts tracking Opus 5.5's accuracy over 30 days. It measures drift statistically, with the first run on September 24, 2026. This helps ensure models don't degrade post-launch.
livenerf, a new benchmark, starts tracking Opus 5.5's accuracy over 30 days, beginning September 24, 2026. This matters for developers relying on stable model performance. The benchmark uses a panel of 2,336 questions and measures drift statistically. It detects an accuracy change of about 7.5 points over a 10-day window, crucial for teams monitoring model reliability. The benchmark runs daily, with validation proving its ability to detect known degradations.
Key Points
livenerf runs daily from September 24, 2026, with a panel of 2,336 questions.
The benchmark measures drift statistically, detecting changes of about 7.5 points over 10 days.
Opus 5.5 gets about 93% right on the first try, with 97% of questions always right or wrong.
The benchmark uses GPQA Diamond, MMLU-Pro, competition-math, and AIME 2025-26 questions.
A report-only audit found 8 answer keys that look wrong and 30 ambiguous questions.
Why It Matters
If you're using Opus 5.5, livenerf's daily drift detection is crucial. It ensures model accuracy remains stable post-launch, impacting teams relying on consistent performance. The 7.5-point accuracy change detection over 10 days is a key metric for monitoring reliability.
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