*Is Computer Vision Being Overshadowed?* It’s been almost a year since major publications and magazines stopped covering Computer Vision, the buzz has shifted entirely to Gen AI, DeepSeek, and LLMs. But CV isn’t dead. Far from it. I’ve been deep in some exciting advancements that push the boundaries of vision intelligence: 1)Vision-Language Models (VLMs) – Bridging the gap between text and vision for richer AI understanding. 2)Agentic Object Detection – Moving beyond traditional detection with reasoning-driven AI for human-like precision no custom training needed. *Breakthrough Research at NeurIPS:* 1)No "Zero-Shot" Without Exponential Data – Vishaal Udandarao, University of Tuebingen 2)Understanding Bias in Large-Scale Visual Datasets – Boya Zeng, University of Pennsylvania 3)Map It Anywhere: Empowering BEV Map Prediction – Cherie Ho, Omar Alama & Jiaye Zou, Carnegie Mellon University Are you still following developments in Computer Vision, or has your focus shifted