According to NotebookLM on Twitter, the platform has introduced a new chat history feature that allows users to close a session and resume it later without losing their conversation. This rollout enhances the usability of AI-powered note-taking by enabling seamless session continuity and personalized data management. Users can delete chat history at any time, and in shared notebooks, chat history remains private to each individual. This development addresses a key user need for persistent and secure conversational context, streamlining workflows and boosting productivity for professionals and students leveraging AI in their daily note-taking and research tasks (source: @NotebookLM, Nov 13, 2025).

According to @OpenAI, the company has issued an official statement detailing its approach to The New York Times’ data demands, emphasizing measures to protect user privacy in the context of AI model training and deployment. OpenAI clarified that its AI systems are designed to avoid retaining or misusing user data, and it is actively implementing safeguards and transparency protocols to address legal data requests while minimizing risks to user privacy. This move highlights the growing importance of robust data governance and privacy protection as AI models become more deeply integrated into enterprise and consumer applications. OpenAI’s response sets a precedent for balancing legal compliance with user trust, offering business opportunities for AI solution providers focused on privacy-compliant data handling and model training processes (source: OpenAI, June 6, 2025).