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AI faces data scarcity by 2030, risking model degradation

The AI industry faces a potential data scarcity crisis by the end of the decade, as estimates suggest a lack of new text available for training models. One concern is the possibility of AI models being trained on data generated by other AIs, leading to a degradation of quality and the introduction of errors. This could disincentivize human content creation if the web becomes primarily an AI consumption space. AI

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IMPACT Potential data limitations could force a shift in AI training methodologies and content generation strategies.

RANK_REASON Opinion piece from a named individual on a potential AI industry challenge.

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    Ok # AI people: I have read estimates that the industry will run out of new text to train on by the end of this decade? Then what? I imagine some horrible human

    Ok # AI people: I have read estimates that the industry will run out of new text to train on by the end of this decade? Then what? I imagine some horrible human centipede situation where the garbage one AI spits out is used to train another. But... it really seems like such data …