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AI training data debate: Copyright could reduce need for vast datasets

Two posts on Mastodon discuss the concept of training AI models with less material, suggesting that proper copyright and selling recompense could reduce the need for vast datasets. The authors imply that this approach would prevent the destruction of books and other materials, thereby preserving cultural heritage while still allowing startups to succeed. AI

IMPACT This discussion highlights a potential shift in AI development, emphasizing ethical data sourcing and copyright compliance over sheer data volume.

RANK_REASON The cluster consists of opinion pieces discussing AI training data and copyright, not a primary release or significant industry event.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI training data debate: Copyright could reduce need for vast datasets

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The cluster consists of opinion pieces discussing AI training data and copyright, not a primary release or significant industry event.
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I am putting this document here as indirect proof of what I am saying about there is no need to #train on nearly as much material and destroy #books and be #ill

    I am putting this document here as indirect proof of what I am saying about there is no need to #train on nearly as much material and destroy #books and be #illegal and all of the nonsense. One-bit #desktop #distributed #AI . #MissKitty must get her #art series #listed and then p…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Absolutely. Use proper #copyright . Sell recompense as #future #value so the #startup can succeed, and you do not need nearly so much material to train on as pe

    Absolutely. Use proper #copyright . Sell recompense as #future #value so the #startup can succeed, and you do not need nearly so much material to train on as people believe. Only train on the #highest #value material. Push #AI into the highest echelons of #human thought from the …