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WikiSkill let a 9B model beat a 27B rival, but one transferred skill cut Gemini from 50.5% to 18.1%

This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.

Google Research’s new WikiSkill preprint tests a useful idea for long-running agents: instead of relying only on a model’s weights or a growing transcript, turn execution history into a maintained knowledge base and then compile that knowledge into reusable skill files. The system has three layers.…

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  1. 2026-08-31 13:07 · r/ArtificialInteligence
    WikiSkill let a 9B model beat a 27B rival, but one transferred skill cut Gemini from 50.5% to 18.1%

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