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    WikiSkill Gains Increase With Model Scale

    Tu Vu reports WikiSkill gains grow across Qwen model sizes instead of shrinking.

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    5 Sources, 32d ago, first seen 32d ago

    TLDR

    Tu Vu posted that WikiSkill gains grow across Qwen model sizes instead of diminishing. He links the pattern to chain-of-thought prompting and states the method co-evolves agent skills with a persistent wiki knowledge base that stores experiences. Andrew Drozdov reposted the observation on X. The performance claims originate from Tu Vu's posts and linked thread and have not been independently verified.

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    2.6K

    5 Sources, first seen 32d ago

    Combined views

    2.6K

    5 Sources, first seen 32d ago

    29 likes
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    29 likes
    4 comments
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    26 reposts

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    4 comments
    12 saves
    26 reposts

    Sentiment

    Positive——Negative

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    No sentiment analysis available yet.

    5 Sources

    @ivankuA new Google Research paper, WikiSkill, is blowing up on arXiv and X right now. Paper: https://arxiv.org/abs/2608.27454 The problem the team tackled: Most agent setups try to improve by editing a prompt or skill file, then throw away the logs. The moment an edit fails, that lesson is gone. Here is how the team solved it 🧵👇
    @tuvllmsOne of my favorite patterns in ML/AI: some methods get *more* useful as models scale. @_jasonwei showed this strikingly with chain-of-thought. We observe a similar trend with WikiSkill across Qwen model sizes: rather than diminishing, its gains increase with model scale!
    @mrdrozdovRT @tuvllms: One of my favorite patterns in ML/AI: some methods get *more* useful as models scale. @_jasonwei showed this strikingly with c…
    @madiatorRT @LiyanTang4: Introducing WikiSkill📚: compiling agent experience into persistent knowledge for skill evolution! 🧠 Persistent wiki + evol…

    5 Sources

    @ivankuA new Google Research paper, WikiSkill, is blowing up on arXiv and X right now. Paper: https://arxiv.org/abs/2608.27454 The problem the team tackled: Most agent setups try to improve by editing a prompt or skill file, then throw away the logs. The moment an edit fails, that lesson is gone. Here is how the team solved it 🧵👇
    @tuvllmsOne of my favorite patterns in ML/AI: some methods get *more* useful as models scale. @_jasonwei showed this strikingly with chain-of-thought. We observe a similar trend with WikiSkill across Qwen model sizes: rather than diminishing, its gains increase with model scale!
    @mrdrozdovRT @tuvllms: One of my favorite patterns in ML/AI: some methods get *more* useful as models scale. @_jasonwei showed this strikingly with c…
    @madiatorRT @LiyanTang4: Introducing WikiSkill📚: compiling agent experience into persistent knowledge for skill evolution! 🧠 Persistent wiki + evol…