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    Paige Bailey Retweets Post on Long-Tail AI Usefulness

    Retweet highlights overlooked use cases for model training data.

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    3 Sources, 27d ago, first seen 27d ago

    TLDR

    Paige Bailey, DevX Engineering Lead at Google DeepMind and former GitHub engineer focused on AI developer tools and open-source work, retweeted @giffmana. The post states that a given example shows the long tail of things some people will find useful but model trainees will never think of. The retweet appears among visible replies on X in the conversation around AI training topics. No further details or confirmation of the example itself appear in the packet.

    Combined views

    70.6K

    3 Sources, first seen 27d ago

    Combined views

    70.6K

    3 Sources, first seen 27d ago

    815 likes
    815 likes
    12 comments
    215 saves
    39 reposts

    Sentiment

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    12 comments
    215 saves
    39 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    3 Sources

    @giffmanaThis is a very cool example of the long tail of things some people will find useful but you as a model trainee will NEVER think of, and hence why you should aim to train on as diverse free-form text data as possible: (And congrats to Gemini 3.8 for looking like what is a very good detector)
    @DynamicWebPaigeRT @giffmana: This is a very cool example of the long tail of things some people will find useful but you as a model trainee will NEVER thi…
    @zacharynado⚡⚡⚡

    3 Sources

    @giffmanaThis is a very cool example of the long tail of things some people will find useful but you as a model trainee will NEVER think of, and hence why you should aim to train on as diverse free-form text data as possible: (And congrats to Gemini 3.8 for looking like what is a very good detector)
    @DynamicWebPaigeRT @giffmana: This is a very cool example of the long tail of things some people will find useful but you as a model trainee will NEVER thi…
    @zacharynado⚡⚡⚡