Back to List
Industry NewsAILegalPrivacy

OpenAI Criticizes Court Order Granting NYT Access to 20 Million User Chats

OpenAI has expressed strong disapproval of a recent court order that permits the New York Times to review 20 million complete user chat logs. The details surrounding the court's reasoning for this decision, the specific context of the dispute between OpenAI and the New York Times, and the potential implications for user privacy or data security are not provided in the original submission. The news was submitted by u/F0urLeafCl0ver on November 14, 2025, to the r/artificial subreddit.

newest submissions : artificial

OpenAI has voiced its strong opposition to a court order that allows the New York Times to access and read 20 million complete user chats. The original news submission, posted by u/F0urLeafCl0ver on November 14, 2025, to the r/artificial subreddit, does not elaborate on the specific legal context or the reasons behind this court decision. It also does not provide details regarding the nature of the dispute between OpenAI and the New York Times that led to such an order. The implications for user data privacy and the scope of the data access are also not detailed in the provided information.

Related News

Meituan Showcases AI Research Excellence with 32 Top Conference Papers and ACL 2026 Award
Industry News

Meituan Showcases AI Research Excellence with 32 Top Conference Papers and ACL 2026 Award

Meituan's technical team has reached a significant academic milestone in 2026, with dozens of research papers accepted by world-renowned AI conferences, including ACL, SIGIR, ICML, and KDD. To highlight these achievements, the company has curated 32 specific papers for a series of five specialized live broadcast sessions. A standout achievement in this collection is a paper recognized as an "Outstanding Paper" at ACL 2026. This initiative not only demonstrates Meituan's robust R&D capabilities in fields like natural language processing and machine learning but also emphasizes their commitment to knowledge sharing within the global technical community through detailed presentations and live replays.

Meituan Technical Team Showcases Machine Learning Research Excellence at ICML 2026 Conference
Industry News

Meituan Technical Team Showcases Machine Learning Research Excellence at ICML 2026 Conference

The Meituan Technical Team has announced a selection of academic papers accepted at the International Conference on Machine Learning (ICML) 2026. As one of the most influential international academic conferences in the field, ICML serves as a premier platform for exploring the future challenges and core issues of machine learning. Meituan's contributions focus on research that offers both significant theoretical value and practical impact. By participating in this top-tier event, the team aims to drive the development of the machine learning field and help lead future research directions through the dissemination of cutting-edge findings.

Meituan Fulfillment AI Team Showcases Frontier Agent Technology and Research Breakthroughs at ACL 2026 Special Session
Industry News

Meituan Fulfillment AI Team Showcases Frontier Agent Technology and Research Breakthroughs at ACL 2026 Special Session

The Meituan Fulfillment AI Algorithm Team recently hosted a specialized session to share their latest research findings accepted for the ACL 2026 conference. Centered on the development of a Large Language Model (LLM)-based Agent technology system, the team is focused on empowering Meituan's complex fulfillment business through self-evolving operational systems. Their research highlights significant advancements in core areas such as Continuous Pre-training (CPT), Post-training, Agentic Reinforcement Learning (RL), and multimodal understanding. With dozens of high-quality papers published in prestigious international AI conferences like ACL and EMNLP, Meituan continues to demonstrate its leadership in bridging the gap between academic innovation and industrial application, specifically within the logistics and fulfillment sectors.