Nov 22, 2025

• New Apple Study Shows LLMs Can Tell What You're Doing from Audio and Motion Data

  • Apple's study reveals that LLMs can effectively infer user activities from audio and motion data, demonstrating their potential to enhance activity recognition even with limited sensor input.

• Olmo 3: Charting a path through the model flow to lead open-source AI

  • Olmo 3 introduces a comprehensive model flow that allows users to access and customize every stage of language model development, enhancing transparency and adaptability in open-source AI.

• Samsung's 60% DRAM price hike signals a new phase of global memory tightening

  • Samsung's 60% price hike in DRAM reflects surging demand from AI data centers, indicating a significant shift in the global memory market dynamics.

• TiDAR: Think in Diffusion, Talk in Autoregression

  • TiDAR merges the strengths of diffusion and autoregressive models, achieving high throughput and quality in a single forward pass through innovative structured attention masks.

• Important arXiv CS Moderation Update: Review Articles and Position Papers

  • arXiv now requires that review articles and position papers in the computer science category undergo peer review and be accepted by recognized journals or conferences prior to submission, addressing the influx of submissions from large language models.

• Why DETRs are replacing YOLOs for real-time object detection

  • Detection Transformers (DETRs) have evolved to outperform YOLO models in accuracy while maintaining competitive inference speeds, with innovations like deformable attention and denoising training driving this advancement.

• An open-source AI coding agent for legacy code modernization