The field of artificial intelligence is witnessing a significant shift towards cognitive augmentation, where AI systems are being designed to dynamically adapt to users' cognitive states and task environments to provide personalized support. This trend is driven by the need to overcome human cognitive limitations and enhance decision-making processes. Researchers are exploring innovative approaches to integrate AI-driven cognitive support systems that incorporate real-time contextual awareness, socially adaptive interactions, and post-experience knowledge organization. Noteworthy papers in this area include: Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation, which proposes a framework for AI augmentation that seamlessly transitions between real-time cognitive support and post-experience knowledge organization. Generative AI Act II: Test Time Scaling Drives Cognition Engineering, which introduces a new paradigm for cognition engineering through test-time scaling techniques, democratizing access to advanced AI approaches.