News/Media Alliance and Open Markets Institute Urge Court to Reject OpenAI Fair Use Defense
News/Media Alliance said in an announcement that it filed an amicus brief supporting news publishers suing OpenAI and Microsoft over their use of news content. Open Markets Institute said in a separate announcement that it also filed a brief asking the court to reject the companies' fair use defense.
In the multidistrict litigation, more than a dozen news publishers accuse OpenAI and Microsoft of using their content without permission to train AI systems and power real time AI answers. OpenAI has published its own fair use arguments in the case. The litigation is in the summary judgment phase in the US District Court for the Southern District of New York.
News/Media Alliance argues that chatbot summaries and copies can substitute for original articles, reduce publisher traffic and damage the market for licensing news to AI companies. Its filing was joined by the National Newspaper Association, National Press Photographers Association and ProPublica.
Open Markets Institute argues that companies paying to license content face higher costs than competitors using it without permission. It asked the court to grant the publishers' summary judgment motion and deny the motion from OpenAI and Microsoft.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 31 Patient Sues Allegheny Health Network and Highmark Over Abridge AI Recordings Oct 31 Dutch Privacy Regulator Warns Debt Collectors Over AI Decisions Oct 31 Judge Lets Character.AI Asset Sale Proceed Over State Objections Oct 30 Cate Blanchett-Backed Group Files Brief in NYT Lawsuit Against OpenAI Oct 30 India Proposes AI Rules for Telecom Networks and ServicesAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
OpenAI Publishes Fair Use Arguments in New York Times Copyright Case
Entertainment Unions Oppose Fair Use Exemption for OpenAI Training
Canadian News Publishers Sue Anthropic Over Claude Training
Wikimedia Backs Fair Use for AI Training but Not RAG
New York Times Joins SPUR Publisher AI Coalition
Daily AI Brief: the AI news that matters, in your inbox.