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OpenAI, Microsoft Admit LLMs Cause 'Theft' and 'Doom Loop' Damaging Web

Executives from OpenAI and Microsoft have privately acknowledged that large language models represent a significant form of theft, contributing to a 'doom loop' that is damaging the internet. Court filings revealed these admissions, which coincide with a reported 90% drop in clicks to news sites via Bing. AI

IMPACT This commentary suggests potential negative externalities of LLM development on the web and news consumption, raising questions about the sustainability of current AI training practices.

RANK_REASON The cluster contains private admissions from company executives about the negative impacts of their technology, as revealed in court filings, rather than a direct product release or research paper.

Read on Mastodon — fosstodon.org →

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

OpenAI, Microsoft Admit LLMs Cause 'Theft' and 'Doom Loop' Damaging Web

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1 / 100
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Commentary
The cluster contains private admissions from company executives about the negative impacts of their technology, as revealed in court filings, rather than a direct product release or research paper.
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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, opinion
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Standard
On-topic for AI-industry coverage; kept in the public index.
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Breaking (< 6h)
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COVERAGE [1]

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

    OpenAI and Microsoft executives have privately called large language models 'an astonishing theft of unprecedented proportions' and admitted they have created a

    OpenAI and Microsoft executives have privately called large language models 'an astonishing theft of unprecedented proportions' and admitted they have created a 'doom loop' that is destroying the web, according to unsealed court filings. Clicks to news sites have fallen by more t…