aiqbench takeAI Policy

This article primarily addresses the legal and ethical implications of using copyrighted data to train large language models, a core issue within AI development and policy. The focus is on the specific practices of scraping paywalled content for model training and the resulting market harm to publishers, which are central concerns for the AI industry rather than incidental topics.

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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Microsoft exec called AI scraping ‘the largest theft of labor in human history,’ new unredacted filings reveal

TechCrunchSeptember 17, 20265 min read

Newly unsealed court filings show Microsoft privately called OpenAI's data practices "theft" while both companies scraped paywalled Times content, built datasets from it, and warned internally it would gut publishers.

New unredacted information in the copyright lawsuit The New York Times brought against OpenAI and Microsoft three years ago reveals an admission that AI scraping was tantamount to theft, and that AI products pose a major threat to publications. Per the lawsuit, a top Microsoft executive privately described the companies’ AI training practices as “theft,” and OpenAI’s own leadership said its AI models posed an “existential threat” to the publishers and journalists whose work trained them. The unsealed material also details how the companies allegedly obtained and used that content…

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