As researchers unveil 'Humanity's Last Exam' to push AI capabilities to their limits, the tech world grapples with how to measure and benchmark artificial intelligence in meaningful ways. These developments come as breakthroughs in digital avatar technology bring us closer to creating incredibly realistic virtual humans, raising questions about how we'll distinguish between human and machine capabilities in an increasingly digital world. Links to all the papers we discussed: Humanity's Last Exam, Redundancy Principles for MLLMs Benchmarks, Chain-of-Retrieval Augmented Generation, RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques, Relightable Full-Body Gaussian Codec Avatars, RL + Transformer = A General-Purpose Problem Solver