CMU Robotics PhD on Why World Models Are The Real Future | Aayush Bansal, PhD @ CMU Robotics скачать в хорошем качестве

CMU Robotics PhD on Why World Models Are The Real Future | Aayush Bansal, PhD @ CMU Robotics

LLMs like ChatGPT are powerful knowledge tools, but they lack real world intelligence. Aayush Bansal, CMU Robotics PhD and former Meta researcher, explains why world models; not language models are the path to true AI intelligence. We dive into JEPA, spatial understanding and why self-driving cars work in Pittsburgh but fail in India. In this conversation, we explore: Why language is compressed communication, not intelligence What world models are and why they matter more than LLMs How ants and bees demonstrate intelligence without language Why OpenAI abandoned robotics for LLMs (data problem) JEPA explained: predicting embeddings instead of pixels Why self-driving works in structured US roads but fails in unstructured Indian environments The training challenges for world models vs LLMs Why we're still early: we don't even know how to evaluate world models yet Carnegie Mellon's robotics legacy and the journey from signal processing to 4D computer vision About Aayush Bansal: PhD from Carnegie Mellon's Robotics Institute Former researcher at Meta Reality Labs Published at CVPR (top computer vision conference) Pioneered 4D scene reconstruction from smartphone videos Now building practical applications of world models Aayush's Website: https://aayushbansal.xyz/ Connect and Explore: • Web: https://kalyanikhona.com/ • X: https://x.com/thisismekalyani • Linkedin:   / kalyanikhona   • The Third Frontier: https://thirdfrontier.substack.com/ • AI Lab Notes:   / 7364150572851060738   • Behind India's ChatGPT conversations: https://arxiv.org/abs/2509.13337 #WorldModels #JEPA #LLMs #AIResearch #CarnegieMellon #ComputerVision #Robotics #SelfDrivingCars #MetaAI