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OpenAI, Microsoft admit LLMs destroy web, built on 'astonishing theft' · 1 source tracked

Internal documents from Microsoft and OpenAI, unsealed as part of The New York Times' copyright lawsuit, reveal admissions that large language models are built on stolen content and are actively harming the web. Executives acknowledged that LLMs represent a "theft of unprecedented proportions" and have created a "doom loop" that cannibalizes content creators' businesses by destroying web traffic. These admissions highlight the existential threat LLMs pose to human labor and the creative economy, even as companies focus on future risks. AI

IMPACT Confirms LLMs' negative impact on web traffic and content creators, potentially influencing future regulation and training data practices.

RANK_REASON The cluster consists of reporting on admissions made in a legal filing, rather than a direct announcement from the companies themselves.

Read on 404 Media →

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

OpenAI, Microsoft admit LLMs destroy web, built on 'astonishing theft' · 1 source tracked

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8 / 100
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Commentary
The cluster consists of reporting on admissions made in a legal filing, rather than a direct announcement from the companies themselves.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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policy, product
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. 404 Media TIER_1 English(EN) · Jason Koebler ·

    ‘Doom Loop’: OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on Theft

    "Millions of people around the world will soon consider large models ‘hoovering up’ all their work to be an astonishing theft of unprecedented proportions."