Unverified50% confidenceBenchmarkExact time
In OpenAI's Difficult Prompt Test, the factual error rate drops from 53.6% at low effort to 4.3% at maximum effort.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
GPT-6.1 Terra Hands-On Analysis: Cheaper but Slower — Worth Switching?
youtubeExtrude Studio10/26/2026
Related Entities
Related Claims
UnverifiedWhen using the multi-agent verification process, MARCH's accuracy was suppressed to 4.4%, whereas when the same model was directly asked which solution was better, accuracy reached 43.7%.74% similarUnverifiedIn manually proofread samples, the character error rate was only 0.68% when the text was clearly legible, but approximately 45% of sampled passages were completely uncorrectable due to source quality issues.73% similarUnverifiedThe error rate of manual data entry is typically between 0.5% and 4%, and the error rate is higher for tasks involving complex judgment.72% similarUnverifiedThe study found that the faithfulness score for counterfactual inputs was only 0.05 points lower than for factual inputs (on a 1–5 scale), a difference that is almost negligible.71% similarUnverifiedOn four models and three benchmarks, the best-performing skeleton specification reduced average test error by 48.4% compared with the best end-to-end behavioral specification.70% similar
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