nevermind, that Chinese "fingerprint" eval is utter trash lmao
tsg@wokerenaissance
@teortaxesTex I think this just measures RL intensity. Smaller model RL more because it's easier
2:38 AM · Jul 2, 2026 · 2.6K Views
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Many users criticized the Chinese AI fingerprint evaluation mechanism as misleading to beginners and inflated with excessive exaggeration in its standards.
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex
LLMs are easy to impress, but as easy to disillusion
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex
nevermind, that Chinese "fingerprint" eval is utter trash lmao
3hViews 1.1KLikes 5Bookmarks 0
芝麻 | 直开通道@subhash_juyal88
@teortaxesTex 这种评估机制确实纯属误导新手
3hViews 20
tsg@wokerenaissance
@teortaxesTex It would be interesting to run this but with reasoning on max, schema-verified output instead of capped tokens, and same random number prompt of something like 36 numbers, and see how random the numbers are compared to how "platitudinal" they are (420,69,3.14, etc)
3hViews 13
热币一稳收益93凡@Fairmont405
@teortaxesTex 这套评估标准确实水分太大了
3h