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๐ค
Thinking...
170.7
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Ryan Susman
PRO
darkmatter2222
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https://github.com/darkmatter2222
darkmatter2222
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Qwen/Qwen3.8-Flash-Next
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Ox Alpha is GLM https://dejan.ai/blog/ox-alpha/ A parameter-free k-nearest-neighbour classifier over Normalized Compression Distance (Lee et al., MobiSys โ24, Eq. 1, built on Jiang et al.'s gzip-based text classifier). NCD compares two texts by how well they compress together. C(s) is the gzip-compressed length of s. Text sharing an author's patterns compresses better together than text from a different author, so the method needs no model weights and no embeddings. The reference corpus covers 60 prompts (essays, code, emails, dialogue, poetry) answered by five known models: GPT-5.5, Claude Opus 5, Gemini 3.7 Flash, Gemini 3.1 Pro Preview, and GLM-5.3, for 293 reference texts. ox-alpha answered the first 13 of those prompts, plus one additional novel prompt never given to the reference models beforehand, for 14 queries in total. Each query was classified against the reference corpus independently, with a k-nearest-neighbour vote (k=5): Model ox-alpha samples matched GLM-5.3 7 / 14 Claude Opus 5 3 / 14 Gemini 3.7 Flash 2 / 14 GPT-5.5 1 / 14 Gemini 3.1 Pro Preview 1 / 14 GLM-5.3 wins at every k tested: 7/14 at k=3, 7/14 at k=5, 6/14 at k=7, 7/14 at k=9. Claude Opus 5 is the consistent second place.
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tencent/UI-Mate-27B:
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Feb 12, 2025
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