The New York Times vs. OpenAI: Internal Documents Reveal Allegations of Content Theft and a Doom Loop

iconKuCoinFlash
Share
AI summary iconSummary
Newly unsealed documents in the New York Times vs. OpenAI case reveal that Microsoft and OpenAI executives admitted to using content “stolen at an unprecedented scale” to train large language models, creating a “doom loop” for the web. Bing’s traffic to affected sites dropped by more than 90%. OpenAI allegedly bypassed the Times’ paywall, referring to itself as an “existential threat” to journalism. As CFT regulations tighten, liquidity in crypto markets remains sensitive to macroeconomic shifts.
ME AI message: An unredacted court filing in The New York Times v. OpenAI copyright lawsuit has been unsealed, revealing multiple internal admissions from Microsoft and OpenAI executives that LLMs were built on content described by Microsoft executives as an unprecedented scale of theft, triggering a doom loop that could destroy the entire web. The filing shows click-through rates on stolen news sites on Bing dropped by over 90%, OpenAI circumvented The New York Times paywall, and OpenAI itself has called news publishing an existential threat. 🔗 Read the original via AIHOT · https://aihot.news/items/cmu62wp5j08tkrofj60s4kfwv (Source: AiHot)
Source:Show original
Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information. Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.