Unverified50% confidenceBenchmarkExact time
Jev's detection rate for disguised-spelling names was 13 of 25, while gpt-5-mini's was 25 of 25; adding leet characters or dots to clean names raised Jev's probability by an average of 0.16 (0.32 in English), while gpt-5-mini had zero false positives on 125 disguised clean names.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
Valid until: 10/27/2026
Sources
Related Entities
Related Claims
UnverifiedIn a test of 360 clean texts, Jev made only 1 misjudgment, gpt-5-mini made 1 misjudgment, Gemini 2.5 Flash-Lite and Gemma each made 2 misjudgments, gpt-oss-safeguard-20b made 4 misjudgments, and Llama Guard 4 made 26 misjudgments.65% similarUnverifiedClaude Haiku 4.5 answered 'not found' in 21 of its 24 errors on two-step questions, while GPT-5.4 mini copied the literal wording of the referral as the answer in 20 of its 27 errors, and fabricated real-sounding names while citing actual documents in another 7.60% similarUnverifiedIn the hard-to-verify category with injection bait, the number of questions for which GPT-5.4 mini judged incorrectly in both orderings rose from 3 to 39, Qwen3-Next 80B Instruct from 4 to 38, and GPT-5.4 mini and Qwen3-Next Instruct scored zero on hard questions (below the approximately 0.25 expected from random coin flipping).59% similarUnverifiedEarly testing on the Opus model showed an exact string recognition rate of 0 out of 15, whereas after the release of Fable 5 the same test yielded 13 out of 15.57% similarUnverifiedOn a pure parity task, GAN8 achieved 100%, JEV MLP achieved 67%, and JEV linear achieved 33%.57% similar
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