"Yann LeCun presents world models and joint-embedding predictive architectures as part of a research path toward autonomous machine intelligence."
In this April 2026 lecture, LeCun discusses the importance of learning representations that support prediction and planning in the physical world. His proposed direction connects JEPA-style models with the broader ambition of developing systems capable of understanding and acting beyond purely linguistic tasks.