aiqbenchInformații despre AI & calcul cuantic

...

Română · beta. Traducerea a fost făcută automat și este încă în curs de revizuire. Citește pagina în engleză

perspectiva aiqbenchPolitici AI

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.

Sursă care acoperăTechCrunch

Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

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

TechCrunch17 septembrie 20265 min de cititArticolul și perspectiva sunt în engleză.

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…

Extras afișat conform termenilor RSS ai publicației · 90 cuvinte · textul integral și figurile sunt pe site-ul publicației

Citește pe TechCrunch ↗Întreabă despre acest articol