As artificial intelligence continues pushing boundaries, today we explore how robots are gaining human-like abilities to understand and navigate our world, while AI video generation achieves new levels of consistency and realism. Yet a new benchmark reveals surprising limitations in how well language models handle complex social interactions and strategic planning - highlighting both the remarkable progress and remaining hurdles in creating truly intelligent systems that can match human capabilities. Links to all the papers we discussed: DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation, Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills, DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models, Personalize Anything for Free with Diffusion Transformer, SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?, Edit Transfer: Learning Image Editing via Vision In-Context Relations