EP257: How planning wakes up deep AI layers

Title: Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential PlanningSource: http://arxiv.org/abs/2605.27935v1Summary:This study provides foundational mechanistic evidence that agentic reasoning requires dynamic, adaptive recruitment of model depth, distinguishing it from static inference tasks. These insights into layer-wise dynamics are critical for developing the next generation of LLM architectures optimized for long-horizon planning and iterative tool use.