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    The line between human and synthetic AI training data

    A user questions why either kind should be seen as fundamentally superior, arguing that both depend on human-computer orchestration.

    WB
    2 Sources, 8h ago, first seen 8h ago

    TLDR

    A user questions whether human- or computer-generated training data is fundamentally superior, saying the art lies in how people and computers orchestrate it. In a follow-up, the user asks where the line between the two falls, noting that model releases frequently boast of both “no synthetic data” and “fully synthetic data.”

    Combined views

    4.2K

    2 Sources, first seen 8h ago

    Combined views

    4.2K

    2 Sources, first seen 8h ago

    48 likes
    48 likes
    10 comments
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    2 Sources

    @willcbtraining data either comes from humans or computers and it’s not clear why either should be viewed as fundamentally superior in both cases the art is in the orchestration, which is a joint human-computer effort8h

    2 Sources

    @willcbtraining data either comes from humans or computers and it’s not clear why either should be viewed as fundamentally superior in both cases the art is in the orchestration, which is a joint human-computer effort8h