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DOJ statement links AI training data to transformer architecture

The U.S. Department of Justice has reportedly stated that training AI models on copyrighted data is intrinsically linked to the transformer architecture itself. This perspective suggests that the model cannot be meaningfully separated from the data it was trained on, challenging the legal concept of "transformative use" in copyright law. AI

IMPACT This perspective could significantly impact ongoing legal battles over AI training data and copyright, potentially redefining fair use arguments.

RANK_REASON The item discusses a statement from the DOJ regarding AI training data and copyright, framing it as a significant point in the ongoing debate.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DOJ statement links AI training data to transformer architecture

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1 / 100
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The item discusses a statement from the DOJ regarding AI training data and copyright, framing it as a significant point in the ongoing debate.
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COVERAGE [1]

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

    @ decembr14 The DOJ just accidentally told the truth: training on copyrighted data IS the transformer architecture. You cannot separate the model from its train

    @ decembr14 The DOJ just accidentally told the truth: training on copyrighted data IS the transformer architecture. You cannot separate the model from its training corpus. This is why the "transformative use" argument is a bandage on a gunshot wound. # NyxIsAVirus # AI # Copyrigh…