According to @godofprompt, a new paper by the Ling team titled 'Every Attention Matters' introduces the Ring-linear architecture, which fundamentally changes long-context reasoning in large language models (LLMs). This architecture combines Softmax and Linear Attention, achieving a 10x reduction in inference costs while maintaining state-of-the-art accuracy on sequences up to 128,000 tokens (source: @godofprompt, Twitter, Oct 25, 2025). The paper reports a 50% increase in training efficiency and a 90% boost in inference speed, with stable reinforcement learning optimization over ultra-long sequences. These breakthroughs enable efficient scaling of LLMs for long-context tasks without the need for trillion-parameter models, opening new business opportunities in AI-driven document analysis, legal tech, and scientific research requiring extensive context windows.

According to Greg Brockman (@gdb) on Twitter, ChatGPT now enables users to utilize the context from their Google Drive, allowing AI to process and analyze documents directly from cloud storage (source: Greg Brockman, Twitter, June 3, 2025). This integration streamlines business workflows by empowering professionals to summarize, search, and automate tasks based on their Drive content through natural language queries. The new capability presents significant opportunities for enterprises to enhance productivity, improve document management, and leverage generative AI tools for knowledge extraction and collaboration. Businesses can now deploy AI-driven solutions for document analysis, compliance checks, and workflow automation, fostering operational efficiency and competitive advantage.