After departing from Meta, Yann LeCun, the esteemed Turing Award laureate, established the AI startup AMI Labs. Presently, the company is immersed in the technology research and development phase, boasting a team of around 50 to 60 professionals and a worldwide presence. Although AMI Labs did not immediately capture widespread attention in Silicon Valley, it has successfully secured a seed funding round of approximately $1.03 billion. The company follows a technological path centered around world models, diverging from the prevalent large language models, and building upon the JEPA-related technical framework initially proposed by LeCun. Research in this domain has already exhibited performance advantages in certain tasks, though it remains in the research and validation stages.

AMI Labs' commercialization strategy involves initially publishing scientific research papers, followed by the application of these findings in B2B contexts such as industrial process control. Subsequently, the company plans to progressively expand into sectors like healthcare, autonomous driving, logistics delivery robots, and home robots. The overarching objective is to furnish an intelligent core for diverse intelligent systems, enabling them to comprehend the physical world, anticipate the outcomes of actions, and execute planning and decision-making processes, rather than focusing on the production of robot hardware. LeCun adopts a cautious stance regarding the timeline for technology implementation. Looking ahead, the company will seek additional financing and maintain a long-term commitment to advancing world model research.